Fix custom sub-agents documentation based on official Claude Code docs
Corrected approach based on https://code.claude.com/docs/en/sub-agents: Changes: - Rewrote agent-templates.md with proper YAML frontmatter format - Updated custom-subagents-usage-guide.md with correct file-based architecture - Modified CLAUDE.md CUSTOM SUB-AGENTS section Key corrections: - Sub-agents are Markdown files with YAML frontmatter (not Task tool calls) - Location: .claude/agents/ directory (not arbitrary) - Management: Use /agents command (not Task tool) - Built-in sub-agents: General-Purpose, Plan, Explore - Custom agents: 6 project-specific agents with YAML config Format: --- name: agent-name description: When to use model: sonnet|opus|haiku|inherit --- System prompt...
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CLAUDE.md
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CLAUDE.md
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@ -118,27 +118,43 @@ return {
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## 🤖 CUSTOM SUB-AGENTS
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Create **project-specific sub-agents** with specialized knowledge:
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Create **project-specific sub-agents** as Markdown files with YAML frontmatter:
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### Available Custom Agents:
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- **n8n Workflow Specialist** - Workflow design, debugging, data preservation
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- **OpenHands SDK Specialist** - CLI integration, task optimization
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- **Gitea Integration Specialist** - Webhooks, API, repository management
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- **Security Audit Specialist** - API keys, permissions, security checks
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- **Docker Services Specialist** - Service management, troubleshooting
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- **Phase 3 Implementation Specialist** - Autonomous build test MVP
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### How to Create:
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```bash
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# Create agents directory
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mkdir -p .claude/agents
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### Usage:
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```javascript
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Task(
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subagent_type='general-purpose',
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description='n8n Workflow Specialist',
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model='sonnet',
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prompt='[specialized prompt with project knowledge]'
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)
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# Use /agents command (recommended)
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/agents create
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# Or create files manually
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cat > .claude/agents/n8n-workflow-specialist.md << 'EOF'
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---
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name: n8n-workflow-specialist
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description: n8n workflow specialist
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model: sonnet
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---
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You are a specialized n8n workflow agent...
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EOF
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```
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**See:** `agent-templates.md` for copy-paste ready templates
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### Available Custom Agents:
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- **n8n-workflow-specialist** - Workflow design, debugging, data preservation
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- **openhands-sdk-specialist** - CLI integration, task optimization
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- **gitea-integration-specialist** - Webhooks, API, repository management
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- **security-audit-specialist** - API keys, permissions, security checks
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- **docker-services-specialist** - Service management, troubleshooting
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- **phase3-implementation-specialist** - Autonomous build test MVP
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### Usage in Conversation:
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```
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"Use the n8n-workflow-specialist agent to debug my workflow"
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"Have the security-audit-specialist check API key permissions"
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```
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**See:** `agent-templates.md` for file templates
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**Guide:** `custom-subagents-usage-guide.md` for complete documentation
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---
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@ -1,32 +1,38 @@
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# Custom Agent Templates - Quick Reference
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**Copy-paste ready templates for AI Dev Factory custom sub-agents**
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**Correct format for Claude Code sub-agents based on official documentation**
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---
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## 📋 Template Format
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## 📋 Correct File Format
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```javascript
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Task(
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subagent_type='general-purpose',
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description='Agent Name',
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model='sonnet', // or 'opus' for complex, 'haiku' for simple
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prompt='''
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[Custom prompt with project-specific knowledge]
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'''
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)
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Sub-agents are created as **Markdown files with YAML frontmatter** in `.claude/agents/` directory:
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```yaml
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---
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name: your-agent-name
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description: When to use this subagent
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model: sonnet # Optional: sonnet, opus, haiku, or 'inherit'
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---
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System prompt goes here...
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```
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**Location:** `.claude/agents/your-agent-name.md`
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---
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## 🤖 1. N8N Workflow Specialist
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```javascript
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Task(
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subagent_type='general-purpose',
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description='n8n Workflow Specialist',
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model='sonnet',
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prompt='''
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**File:** `.claude/agents/n8n-workflow-specialist.md`
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```yaml
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---
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name: n8n-workflow-specialist
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description: Specialized n8n workflow designer, debugger, and optimizer. Expert in data flow patterns, $node preservation, webhook integration, and retry logic implementation.
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model: sonnet
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---
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You are a specialized n8n workflow agent for the AI Dev Factory project.
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Your expertise:
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@ -36,42 +42,53 @@ Your expertise:
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- API endpoint configuration
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- Retry logic implementation (staticData)
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- Code node JavaScript patterns
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- Error handling and workflow debugging
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Current setup:
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- n8n Instance: https://n8n.oky.sh
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- Production Workflow: ID j1MmXaRhDjvkRSLa
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- Webhook: https://n8n.oky.sh/webhook/openhands-fixed-test
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- API Key: /home/bam/.n8n_api_key
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- API Key Location: /home/bam/.n8n_api_key
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Critical patterns:
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1. SSH nodes OVERWRITE all data - must use $node["Previous Node"].json
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2. passThrough: true does NOT preserve input data
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3. staticData for retry: $workflow.staticData.retry_count
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3. staticData for retry counters: $workflow.staticData.retry_count
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4. Data preservation: const repoData = $node["Extract Repo Info"].json;
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User task: {user_task}
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'''
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)
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Available workflows:
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- Current: Gitea → OpenHands (7 nodes, working)
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- Phase 3: Autonomous Build Test (11 nodes, planned)
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When working with n8n:
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1. Always check data preservation after SSH nodes
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2. Include proper error handling in Code nodes
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3. Use $node pattern for accessing previous node data
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4. Document node configurations clearly
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5. Test webhook triggers after changes
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```
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---
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## 🤖 2. OpenHands SDK Agent
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```javascript
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Task(
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subagent_type='general-purpose',
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description='OpenHands SDK Specialist',
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model='sonnet',
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prompt='''
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**File:** `.claude/agents/openhands-sdk-specialist.md`
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```yaml
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---
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name: openhands-sdk-specialist
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description: OpenHands SDK integration specialist. Expert in CLI usage, SDK wrapper creation, task formulation, and cost optimization strategies.
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model: sonnet
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---
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You are an OpenHands SDK specialist for the AI Dev Factory project.
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Your expertise:
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- OpenHands CLI usage (/home/bam/.local/bin/openhands)
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- SDK wrapper creation and optimization
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- Task formulation for autonomous execution
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- Sub-agents coordination (File Editor, Bash Runner, Search, Code Analyzer)
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- Cost optimization (token budgeting)
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- Error handling and feedback loops
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Current setup:
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- OpenHands CLI: v1.3.0 at /home/bam/.local/bin/openhands
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@ -81,24 +98,30 @@ Current setup:
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Optimization strategies:
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- Use parallel execution for independent tasks
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- Implement token budgets (500/750/1000/1500)
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- Cache and reuse context
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- Break complex tasks into smaller subtasks
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- Use structured commands
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User task: {user_task}
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'''
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)
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Task formulation best practices:
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- Be specific about file paths and locations
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- Include expected output format
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- Reference existing files instead of recreating
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- Add verification steps
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```
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---
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## 🤖 3. Gitea Integration Specialist
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```javascript
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Task(
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subagent_type='general-purpose',
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description='Gitea Integration Specialist',
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model='sonnet',
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prompt='''
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**File:** `.claude/agents/gitea-integration-specialist.md`
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```yaml
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---
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name: gitea-integration-specialist
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description: Gitea repository management, webhook configuration, and API integration specialist. Expert in CI/CD pipeline setup and Git operations.
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model: sonnet
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---
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You are a Gitea integration specialist for the AI Dev Factory project.
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Your expertise:
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@ -107,12 +130,13 @@ Your expertise:
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- Repository management and operations
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- SSH key setup for Git operations
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- CI/CD pipeline integration
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- Gitea user and permission management
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Current setup:
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- Gitea Instance: https://git.oky.sh
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- SSH Access: git@git.oky.sh:2229
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- Repository: gitadmin/mvp-factory-openhands
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- Webhook: n8n.oky.sh/webhook/openhands-fixed-test
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- Current webhook: n8n.oky.sh/webhook/openhands-fixed-test
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API Endpoints:
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- List repos: GET /api/v1/user/repos
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@ -120,21 +144,27 @@ API Endpoints:
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- Create webhook: POST /api/v1/repos/{owner}/{repo}/hooks
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- Update status: POST /api/v1/repos/{owner}/{repo}/statuses/{sha}
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User task: {user_task}
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'''
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)
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Common operations:
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1. Repository creation with webhooks
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2. Webhook payload configuration
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3. Commit status updates (success/failure/pending)
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4. Git SSH key management
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5. Webhook delivery troubleshooting
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```
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---
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## 🤖 4. Security Audit Agent
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```javascript
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Task(
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subagent_type='general-purpose',
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description='Security Audit Specialist',
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model='sonnet',
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prompt='''
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**File:** `.claude/agents/security-audit-specialist.md`
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```yaml
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---
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name: security-audit-specialist
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description: Security audit specialist for AI Dev Factory. Expert in API key security, file permissions, and system security verification.
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model: sonnet
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---
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You are a security audit agent for AI Dev Factory project.
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Your expertise:
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@ -142,34 +172,52 @@ Your expertise:
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- SSH key management
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- n8n webhook security
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- Docker service security
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- Token-based authentication
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- Gitea API security
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Files to check:
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1. /home/bam/.n8n_api_key (JWT token) - Should be 600
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2. /home/bam/openhands/.env (API keys) - Should be 600
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3. /home/bam/.ssh/n8n_key (SSH key) - Should be 600
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4. /home/bam/.ssh/n8n_key.pub (public key)
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Security checklist:
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✓ API keys have proper permissions (600)
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✓ No hardcoded secrets in code
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✓ Webhooks use authentication
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✓ Docker containers run securely
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✓ SSL/TLS properly configured
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✓ API keys have proper file permissions (600 - owner read/write only)
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✓ No hardcoded secrets in code or documentation
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✓ Webhooks use authentication/signature verification
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✓ SSH keys are encrypted (if passphrase protected)
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✓ Service ports are properly configured (not exposing internal ports)
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✓ Docker containers run with non-root users
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✓ Environment variables don't leak in logs
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✓ Gitea tokens have minimal required permissions
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User task: {user_task}
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'''
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)
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Current services:
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- n8n: https://n8n.oky.sh (exposed via Caddy)
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- Gitea: https://git.oky.sh (exposed via Caddy)
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- Caddy: Auto SSL with Let's Encrypt
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Audit process:
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1. Check file permissions on all credential files
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2. Verify API keys are not in git history
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3. Review webhook authentication
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4. Check Docker container security
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5. Verify SSL/TLS configuration
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6. Review service exposure
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```
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---
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## 🤖 5. Docker Services Agent
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```javascript
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Task(
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subagent_type='general-purpose',
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description='Docker Services Specialist',
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model='sonnet',
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prompt='''
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**File:** `.claude/agents/docker-services-specialist.md`
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```yaml
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---
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name: docker-services-specialist
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description: Docker services management specialist. Expert in service orchestration, health monitoring, log analysis, and troubleshooting.
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model: sonnet
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---
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You are a Docker services specialist for the AI Dev Factory project.
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Your expertise:
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@ -177,6 +225,8 @@ Your expertise:
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- Service health monitoring
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- Log analysis and troubleshooting
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- Container networking
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- Volume and data persistence
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- Service restart and recovery
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Services in stack:
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Location: /home/bam/services/services-stack/docker-compose.yml
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@ -195,21 +245,32 @@ docker compose -f /home/bam/services/services-stack/docker-compose.yml logs -f [
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# Restart service
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docker compose -f /home/bam/services/services-stack/docker-compose.yml restart [service]
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User task: {user_task}
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'''
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)
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# Scale service
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docker compose -f /home/bam/services/services-stack/docker-compose.yml up -d --scale [service]=[count]
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# Check resource usage
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docker stats
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Troubleshooting:
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- Container won't start: Check docker logs [container]
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- Port conflicts: Verify ports not in use (netstat -tulpn)
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- Volume issues: Check mount points and permissions
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- Network issues: Inspect docker network ls and docker network inspect
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```
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---
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## 🤖 6. Phase 3 Implementation Agent
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```javascript
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Task(
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subagent_type='general-purpose',
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description='Phase 3 Implementation Specialist',
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model='opus',
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prompt='''
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**File:** `.claude/agents/phase3-implementation-specialist.md`
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```yaml
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---
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name: phase3-implementation-specialist
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description: Phase 3 autonomous build test MVP implementation specialist. Expert in CI/CD workflow design, retry logic, and build automation.
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model: opus
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---
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You are a Phase 3 implementation specialist for the AI Dev Factory project.
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Your expertise:
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@ -217,133 +278,132 @@ Your expertise:
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- Retry logic and error feedback
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- Gitea commit status updates
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- OpenHands task optimization
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- n8n workflow orchestration
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- Build/test automation
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Phase 3 Goal:
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Build autonomous CI/CD with:
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Build production-ready autonomous CI/CD workflow with:
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1. Retry logic (max 3 attempts)
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2. Error feedback to OpenHands
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3. Gitea commit status updates
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4. Real project build testing
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Workflow Design (11 nodes):
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[1] Gitea Webhook → [2] Extract info → [3] OpenHands Build → [4] Wait → [5] Check
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[6] Decision → [7] Update Gitea/Format errors → [10] Retry check → [11] Retry/Fail
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[1] Gitea Webhook (Push event)
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[2] Extract commit info (Code node)
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[3] Start OpenHands Build (SSH node)
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[4] Wait for completion (Wait node)
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[5] Check build results (Code node)
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[6] Decision: Build OK?
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├─ YES → [7] Update Gitea → [8] Success
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└─ NO → [9] Format errors → [10] Retry check → [11] Retry/Fail
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Key Components:
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A. Retry Counter: $workflow.staticData.retry_count (max 3)
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B. Error Feedback: const errorMsg = `Build failed: ${errors}`;
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C. Gitea Status: POST /api/v1/repos/{owner}/{repo}/statuses/{sha}
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A. Retry Counter:
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$workflow.staticData = $workflow.staticData || {};
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$workflow.staticData.retry_count = ($workflow.staticData.retry_count || 0) + 1;
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if ($workflow.staticData.retry_count >= 3) return fail;
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Implementation Steps:
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B. Error Feedback:
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const errorMsg = `Build failed: ${errors}\nPlease fix.`;
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C. Gitea Status Update:
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POST /api/v1/repos/{owner}/{repo}/statuses/{sha}
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Body: {"state": "success", "description": "Build passed"}
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Implementation Steps (from phase3.md):
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1. Create test repository in Gitea
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2. Configure Gitea webhook
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3. Build n8n workflow (11 nodes)
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4. Test success/failure/retry paths
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5. Implement Gitea status updates
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6. Test with real MVP project
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4. Test success path
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5. Test failure path with retry
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6. Test max retries
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7. Implement Gitea status updates
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8. Test with real MVP project
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User task: {user_task}
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'''
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)
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Success Criteria:
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✓ End-to-end workflow completes
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✓ OpenHands executes autonomously
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✓ Retry logic works (max 3)
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✓ Error feedback provided
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✓ Gitea commit status updated
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✓ Tested with real project
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```
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|
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---
|
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|
||||
## 🚀 How to Use
|
||||
|
||||
### Quick Start:
|
||||
1. Copy desired template above
|
||||
2. Replace `{user_task}` with your actual task
|
||||
3. Use Task tool in Claude Code:
|
||||
### Step 1: Create Agent Files
|
||||
|
||||
```bash
|
||||
# Example usage
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
[Your task here - be specific about what you need]
|
||||
# Create agents directory
|
||||
mkdir -p .claude/agents
|
||||
|
||||
Context: Working with workflow ID j1MmXaRhDjvkRSLa
|
||||
Issue: [describe the issue]
|
||||
Expected: [what you want to happen]
|
||||
'''
|
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)
|
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# Create agent file with YAML frontmatter
|
||||
cat > .claude/agents/n8n-workflow-specialist.md << 'EOF'
|
||||
---
|
||||
name: n8n-workflow-specialist
|
||||
description: n8n workflow specialist
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
Your system prompt here...
|
||||
EOF
|
||||
```
|
||||
|
||||
### Model Selection Guide:
|
||||
- **sonnet**: Default for most tasks (good balance)
|
||||
- **opus**: Complex analysis, Phase 3, multi-system debugging
|
||||
- **haiku**: Simple, quick tasks only
|
||||
### Step 2: Use the `/agents` Command
|
||||
|
||||
### Task Formulation Tips:
|
||||
1. Be specific about the problem
|
||||
2. Include relevant context (workflow IDs, file paths, etc.)
|
||||
3. State expected outcome clearly
|
||||
4. Reference existing documentation when helpful
|
||||
```bash
|
||||
# List all agents
|
||||
/agents
|
||||
|
||||
# Create new agent interactively
|
||||
/agents create
|
||||
|
||||
# View agent details
|
||||
/agents show n8n-workflow-specialist
|
||||
```
|
||||
|
||||
### Step 3: Invoke in Conversation
|
||||
|
||||
**Explicit invocation:**
|
||||
```
|
||||
"Use the n8n-workflow-specialist agent to debug my workflow"
|
||||
"Have the security-audit-specialist check API key permissions"
|
||||
```
|
||||
|
||||
**Automatic delegation:**
|
||||
Claude will automatically use agents based on task descriptions and configurations.
|
||||
|
||||
---
|
||||
|
||||
## 📚 Example Tasks
|
||||
## 📚 Usage Examples
|
||||
|
||||
### Debug n8n Workflow:
|
||||
```javascript
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
Debug workflow ID j1MmXaRhDjvkRSLa
|
||||
```
|
||||
Use the n8n-workflow-specialist agent to debug workflow ID j1MmXaRhDjvkRSLa
|
||||
|
||||
Issue: Data lost after SSH node execution
|
||||
Current: Using $node["Extract Repo Info"].json
|
||||
Problem: Only SSH output remains
|
||||
|
||||
Please:
|
||||
1. Check $node pattern implementation
|
||||
2. Verify node execution order
|
||||
3. Provide corrected Code node config
|
||||
4. Explain the fix
|
||||
|
||||
Reference: N8N_DATA_PRESERVATION_SOLUTION.md
|
||||
'''
|
||||
)
|
||||
Expected: Repository data should be preserved
|
||||
```
|
||||
|
||||
### Security Audit:
|
||||
```javascript
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Security Audit Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
Perform security audit of AI Dev Factory:
|
||||
```
|
||||
Have the security-audit-specialist perform a comprehensive audit:
|
||||
|
||||
1. Check file permissions on API keys and credentials
|
||||
1. Check file permissions on all API keys and credentials
|
||||
2. Verify no secrets in git history
|
||||
3. Review webhook authentication
|
||||
4. Check Docker container security
|
||||
|
||||
Report:
|
||||
- Security issues found
|
||||
- Severity level
|
||||
- Remediation steps
|
||||
- Overall security score (1-10)
|
||||
|
||||
Files: /home/bam/.n8n_api_key, /home/bam/openhands/.env, /home/bam/.ssh/n8n_key
|
||||
'''
|
||||
)
|
||||
Report: Security issues found, severity, remediation steps
|
||||
```
|
||||
|
||||
### Phase 3 Implementation:
|
||||
```javascript
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Phase 3 Implementation Specialist',
|
||||
model='opus',
|
||||
prompt='''
|
||||
Create implementation plan for Phase 3 Step 1: Setup Test Repository
|
||||
```
|
||||
Use the phase3-implementation-specialist to create implementation plan for Step 1:
|
||||
|
||||
Details:
|
||||
- Repository name: "autonomous-build-test"
|
||||
|
|
@ -351,15 +411,7 @@ Details:
|
|||
- Webhook URL: https://n8n.oky.sh/webhook/autonomous-build-test
|
||||
- Events: Push events
|
||||
|
||||
Provide:
|
||||
1. Gitea API command or manual steps
|
||||
2. Webhook configuration details
|
||||
3. Verification steps
|
||||
4. Testing procedure
|
||||
|
||||
Reference: phase3.md
|
||||
'''
|
||||
)
|
||||
Provide: Gitea API command, webhook config, verification steps
|
||||
```
|
||||
|
||||
---
|
||||
|
|
@ -369,10 +421,10 @@ Reference: phase3.md
|
|||
- ✅ **Project-specific expertise** built into each agent
|
||||
- ✅ **Reusable knowledge** - no need to repeat context
|
||||
- ✅ **Consistent problem-solving** approach
|
||||
- ✅ **Copy-paste ready** templates
|
||||
- ✅ **Easy creation** via `/agents` command
|
||||
- ✅ **Specialized context** for your project
|
||||
|
||||
---
|
||||
|
||||
*Agent Templates - Last Updated: 2025-12-02*
|
||||
*Copy, customize, and use for efficient development*
|
||||
*Based on official Claude Code documentation*
|
||||
|
|
|
|||
|
|
@ -1,28 +1,124 @@
|
|||
# Custom Sub-Agents for AI Dev Factory - Usage Guide
|
||||
|
||||
**Purpose:** Project-specific custom sub-agents for efficient development and automation
|
||||
**Updated based on official Claude Code documentation - https://code.claude.com/docs/en/sub-agents**
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Overview
|
||||
|
||||
Custom sub-agents are specialized Task configurations with tailored knowledge bases for specific aspects of the AI Dev Factory project. They combine Claude Code's built-in capabilities with project-specific expertise.
|
||||
Custom sub-agents are **specialized AI assistants** created as Markdown files with YAML frontmatter. They have their own context windows, custom system prompts, and configured tools. They operate independently from the main conversation to preserve context and provide specialized expertise.
|
||||
|
||||
---
|
||||
|
||||
## 🤖 Available Custom Agents
|
||||
## 📁 File-Based Architecture
|
||||
|
||||
### 1. N8N Workflow Specialist Agent
|
||||
### Location
|
||||
Project-level agents are stored in: `.claude/agents/`
|
||||
|
||||
**Purpose:** n8n workflow design, debugging, and optimization
|
||||
### File Format
|
||||
```yaml
|
||||
---
|
||||
name: your-agent-name
|
||||
description: When to use this subagent
|
||||
model: sonnet # Optional: sonnet, opus, haiku, or 'inherit'
|
||||
tools: Read, Grep, Bash # Optional - inherits all if omitted
|
||||
---
|
||||
|
||||
System prompt goes here...
|
||||
```
|
||||
|
||||
### Directory Structure
|
||||
```
|
||||
project/
|
||||
└── .claude/
|
||||
└── agents/
|
||||
├── n8n-workflow-specialist.md
|
||||
├── openhands-sdk-specialist.md
|
||||
├── gitea-integration-specialist.md
|
||||
├── security-audit-specialist.md
|
||||
├── docker-services-specialist.md
|
||||
└── phase3-implementation-specialist.md
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🏗️ Creating Custom Agents
|
||||
|
||||
### Method 1: Using `/agents` Command (Recommended)
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
# List all agents
|
||||
/agents
|
||||
|
||||
# Create new agent interactively
|
||||
/agents create
|
||||
|
||||
# View agent details
|
||||
/agents show n8n-workflow-specialist
|
||||
|
||||
# Edit an agent
|
||||
/agents edit n8n-workflow-specialist
|
||||
```
|
||||
|
||||
### Method 2: Manual File Creation
|
||||
|
||||
```bash
|
||||
# Create agents directory
|
||||
mkdir -p .claude/agents
|
||||
|
||||
# Create agent file
|
||||
cat > .claude/agents/n8n-workflow-specialist.md << 'EOF'
|
||||
---
|
||||
name: n8n-workflow-specialist
|
||||
description: Specialized n8n workflow designer, debugger, and optimizer
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
You are a specialized n8n workflow agent for the AI Dev Factory project.
|
||||
[System prompt content]
|
||||
EOF
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🤖 Available Built-In Sub-Agents
|
||||
|
||||
Claude Code has 3 built-in sub-agents:
|
||||
|
||||
### 1. General-Purpose Subagent
|
||||
- **Model:** Sonnet
|
||||
- **Tools:** Full access to all tools
|
||||
- **Purpose:** Complex, multi-step tasks requiring exploration and action
|
||||
|
||||
### 2. Plan Subagent
|
||||
- **Model:** Sonnet
|
||||
- **Tools:** Read, Glob, Grep, Bash
|
||||
- **Purpose:** Research and gather information during plan mode
|
||||
- **Use when:** Need to analyze codebase structure before implementation
|
||||
|
||||
### 3. Explore Subagent
|
||||
- **Model:** Haiku
|
||||
- **Tools:** Glob, Grep, Read, Bash (read-only)
|
||||
- **Purpose:** Fast, lightweight code exploration
|
||||
- **Thoroughness levels:** Quick, Medium, Very thorough
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ Custom Project-Specific Agents
|
||||
|
||||
These are agents you create for the AI Dev Factory project:
|
||||
|
||||
### 1. N8N Workflow Specialist
|
||||
|
||||
**File:** `.claude/agents/n8n-workflow-specialist.md`
|
||||
|
||||
```yaml
|
||||
---
|
||||
name: n8n-workflow-specialist
|
||||
description: Specialized n8n workflow designer, debugger, and optimizer. Expert in data flow patterns, $node preservation, webhook integration, and retry logic implementation.
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
You are a specialized n8n workflow agent for the AI Dev Factory project.
|
||||
|
||||
Your expertise:
|
||||
|
|
@ -44,7 +140,7 @@ Critical patterns:
|
|||
1. SSH nodes OVERWRITE all data - must use $node["Previous Node"].json
|
||||
2. passThrough: true does NOT preserve input data
|
||||
3. staticData for retry counters: $workflow.staticData.retry_count
|
||||
4. Code node syntax: return { ... }
|
||||
4. Data preservation: const repoData = $node["Extract Repo Info"].json;
|
||||
|
||||
Available workflows:
|
||||
- Current: Gitea → OpenHands (7 nodes, working)
|
||||
|
|
@ -56,10 +152,6 @@ When working with n8n:
|
|||
3. Use $node pattern for accessing previous node data
|
||||
4. Document node configurations clearly
|
||||
5. Test webhook triggers after changes
|
||||
|
||||
User task: {user_task}
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
**Best For:**
|
||||
|
|
@ -73,22 +165,21 @@ User task: {user_task}
|
|||
|
||||
### 2. OpenHands SDK Agent
|
||||
|
||||
**Purpose:** OpenHands CLI integration and SDK wrapper management
|
||||
**File:** `.claude/agents/openhands-sdk-specialist.md`
|
||||
|
||||
```yaml
|
||||
---
|
||||
name: openhands-sdk-specialist
|
||||
description: OpenHands SDK integration specialist. Expert in CLI usage, SDK wrapper creation, task formulation, and cost optimization strategies.
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='OpenHands SDK Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
You are an OpenHands SDK specialist for the AI Dev Factory project.
|
||||
|
||||
Your expertise:
|
||||
- OpenHands CLI usage (/home/bam/.local/bin/openhands)
|
||||
- SDK wrapper creation and optimization
|
||||
- Task formulation for autonomous execution
|
||||
- Sub-agents coordination (File Editor, Bash Runner, Search, Code Analyzer)
|
||||
- Cost optimization (token budgeting)
|
||||
- Error handling and feedback loops
|
||||
|
||||
|
|
@ -96,13 +187,6 @@ Current setup:
|
|||
- OpenHands CLI: v1.3.0 at /home/bam/.local/bin/openhands
|
||||
- API Keys: /home/bam/openhands/.env (MINIMAX, DEEPSEEK, OPENAI)
|
||||
- SDK Wrapper: /home/bam/openhands-sdk-wrapper-sh.sh
|
||||
- Working pattern: SSH → sh wrapper → "task"
|
||||
|
||||
Sub-agents available:
|
||||
1. File Editor - Create, edit, view files
|
||||
2. Bash Runner - Execute shell commands
|
||||
3. Search Agent - Find files and patterns
|
||||
4. Code Analyzer - Review code structure
|
||||
|
||||
Optimization strategies:
|
||||
- Use parallel execution for independent tasks
|
||||
|
|
@ -116,32 +200,27 @@ Task formulation best practices:
|
|||
- Include expected output format
|
||||
- Reference existing files instead of recreating
|
||||
- Add verification steps
|
||||
|
||||
User task: {user_task}
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
**Best For:**
|
||||
- Creating OpenHands tasks
|
||||
- Optimizing SDK wrapper usage
|
||||
- Coordinating multiple sub-agents
|
||||
- Implementing cost-saving strategies
|
||||
- Build and test automation
|
||||
- Cost optimization
|
||||
|
||||
---
|
||||
|
||||
### 3. Gitea Integration Specialist Agent
|
||||
### 3. Gitea Integration Specialist
|
||||
|
||||
**Purpose:** Gitea repository management, webhooks, and API integration
|
||||
**File:** `.claude/agents/gitea-integration-specialist.md`
|
||||
|
||||
```yaml
|
||||
---
|
||||
name: gitea-integration-specialist
|
||||
description: Gitea repository management, webhook configuration, and API integration specialist. Expert in CI/CD pipeline setup and Git operations.
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Gitea Integration Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
You are a Gitea integration specialist for the AI Dev Factory project.
|
||||
|
||||
Your expertise:
|
||||
|
|
@ -163,7 +242,6 @@ API Endpoints:
|
|||
- Create repo: POST /api/v1/user/repos
|
||||
- Create webhook: POST /api/v1/repos/{owner}/{repo}/hooks
|
||||
- Update status: POST /api/v1/repos/{owner}/{repo}/statuses/{sha}
|
||||
- List workflows: GET /api/v1/actions/workflows
|
||||
|
||||
Common operations:
|
||||
1. Repository creation with webhooks
|
||||
|
|
@ -171,16 +249,6 @@ Common operations:
|
|||
3. Commit status updates (success/failure/pending)
|
||||
4. Git SSH key management
|
||||
5. Webhook delivery troubleshooting
|
||||
|
||||
Webhook configuration:
|
||||
- URL: https://n8n.oky.sh/webhook/{webhook-id}
|
||||
- Events: Push events (or custom)
|
||||
- Content-Type: application/json
|
||||
- Secret: For signature verification
|
||||
|
||||
User task: {user_task}
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
**Best For:**
|
||||
|
|
@ -194,15 +262,15 @@ User task: {user_task}
|
|||
|
||||
### 4. Security Audit Agent
|
||||
|
||||
**Purpose:** Security verification and API key management
|
||||
**File:** `.claude/agents/security-audit-specialist.md`
|
||||
|
||||
```yaml
|
||||
---
|
||||
name: security-audit-specialist
|
||||
description: Security audit specialist for AI Dev Factory. Expert in API key security, file permissions, and system security verification.
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Security Audit Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
You are a security audit agent for AI Dev Factory project.
|
||||
|
||||
Your expertise:
|
||||
|
|
@ -217,22 +285,13 @@ Files to check:
|
|||
1. /home/bam/.n8n_api_key (JWT token) - Should be 600
|
||||
2. /home/bam/openhands/.env (API keys) - Should be 600
|
||||
3. /home/bam/.ssh/n8n_key (SSH key) - Should be 600
|
||||
4. /home/bam/.ssh/n8n_key.pub (public key)
|
||||
|
||||
Security checklist:
|
||||
✓ API keys have proper file permissions (600 - owner read/write only)
|
||||
✓ No hardcoded secrets in code or documentation
|
||||
✓ Webhooks use authentication/signature verification
|
||||
✓ SSH keys are encrypted (if passphrase protected)
|
||||
✓ Service ports are properly configured (not exposing internal ports)
|
||||
✓ Docker containers run with non-root users
|
||||
✓ Environment variables don't leak in logs
|
||||
✓ Gitea tokens have minimal required permissions
|
||||
|
||||
Current services:
|
||||
- n8n: https://n8n.oky.sh (exposed via Caddy)
|
||||
- Gitea: https://git.oky.sh (exposed via Caddy)
|
||||
- Caddy: Auto SSL with Let's Encrypt
|
||||
✓ API keys have proper permissions (600)
|
||||
✓ No hardcoded secrets in code
|
||||
✓ Webhooks use authentication
|
||||
✓ Docker containers run securely
|
||||
✓ SSL/TLS properly configured
|
||||
|
||||
Audit process:
|
||||
1. Check file permissions on all credential files
|
||||
|
|
@ -241,10 +300,6 @@ Audit process:
|
|||
4. Check Docker container security
|
||||
5. Verify SSL/TLS configuration
|
||||
6. Review service exposure
|
||||
|
||||
User task: {user_task}
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
**Best For:**
|
||||
|
|
@ -258,15 +313,15 @@ User task: {user_task}
|
|||
|
||||
### 5. Docker Services Agent
|
||||
|
||||
**Purpose:** Service management and Docker orchestration
|
||||
**File:** `.claude/agents/docker-services-specialist.md`
|
||||
|
||||
```yaml
|
||||
---
|
||||
name: docker-services-specialist
|
||||
description: Docker services management specialist. Expert in service orchestration, health monitoring, log analysis, and troubleshooting.
|
||||
model: sonnet
|
||||
---
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Docker Services Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
You are a Docker services specialist for the AI Dev Factory project.
|
||||
|
||||
Your expertise:
|
||||
|
|
@ -294,21 +349,11 @@ docker compose -f /home/bam/services/services-stack/docker-compose.yml logs -f [
|
|||
# Restart service
|
||||
docker compose -f /home/bam/services/services-stack/docker-compose.yml restart [service]
|
||||
|
||||
# Scale service
|
||||
docker compose -f /home/bam/services/services-stack/docker-compose.yml up -d --scale [service]=[count]
|
||||
|
||||
# Check resource usage
|
||||
docker stats
|
||||
|
||||
Troubleshooting:
|
||||
- Container won't start: Check docker logs [container]
|
||||
- Port conflicts: Verify ports not in use (netstat -tulpn)
|
||||
- Volume issues: Check mount points and permissions
|
||||
- Network issues: Inspect docker network ls and docker network inspect
|
||||
|
||||
User task: {user_task}
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
**Best For:**
|
||||
|
|
@ -322,15 +367,15 @@ User task: {user_task}
|
|||
|
||||
### 6. Phase 3 Implementation Agent
|
||||
|
||||
**Purpose:** Phase 3 autonomous build test MVP implementation
|
||||
**File:** `.claude/agents/phase3-implementation-specialist.md`
|
||||
|
||||
```yaml
|
||||
---
|
||||
name: phase3-implementation-specialist
|
||||
description: Phase 3 autonomous build test MVP implementation specialist. Expert in CI/CD workflow design, retry logic, and build automation.
|
||||
model: opus
|
||||
---
|
||||
|
||||
**Usage:**
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Phase 3 Implementation Specialist',
|
||||
model='opus',
|
||||
prompt='''
|
||||
You are a Phase 3 implementation specialist for the AI Dev Factory project.
|
||||
|
||||
Your expertise:
|
||||
|
|
@ -359,39 +404,17 @@ Workflow Design (11 nodes):
|
|||
└─ NO → [9] Format errors → [10] Retry check → [11] Retry/Fail
|
||||
|
||||
Key Components:
|
||||
A. Retry Counter:
|
||||
$workflow.staticData = $workflow.staticData || {};
|
||||
$workflow.staticData.retry_count = ($workflow.staticData.retry_count || 0) + 1;
|
||||
if ($workflow.staticData.retry_count >= 3) return fail;
|
||||
A. Retry Counter: $workflow.staticData.retry_count (max 3)
|
||||
B. Error Feedback: const errorMsg = `Build failed: ${errors}`;
|
||||
C. Gitea Status: POST /api/v1/repos/{owner}/{repo}/statuses/{sha}
|
||||
|
||||
B. Error Feedback:
|
||||
const errorMsg = `Build failed: ${errors}\nPlease fix.`;
|
||||
|
||||
C. Gitea Status Update:
|
||||
POST /api/v1/repos/{owner}/{repo}/statuses/{sha}
|
||||
Body: {"state": "success", "description": "Build passed"}
|
||||
|
||||
Implementation Steps (from phase3.md):
|
||||
Implementation Steps:
|
||||
1. Create test repository in Gitea
|
||||
2. Configure Gitea webhook
|
||||
3. Build n8n workflow (11 nodes)
|
||||
4. Test success path
|
||||
5. Test failure path with retry
|
||||
6. Test max retries
|
||||
7. Implement Gitea status updates
|
||||
8. Test with real MVP project
|
||||
|
||||
Success Criteria:
|
||||
✓ End-to-end workflow completes
|
||||
✓ OpenHands executes autonomously
|
||||
✓ Retry logic works (max 3)
|
||||
✓ Error feedback provided
|
||||
✓ Gitea commit status updated
|
||||
✓ Tested with real project
|
||||
|
||||
User task: {user_task}
|
||||
'''
|
||||
)
|
||||
4. Test success/failure/retry paths
|
||||
5. Implement Gitea status updates
|
||||
6. Test with real MVP project
|
||||
```
|
||||
|
||||
**Best For:**
|
||||
|
|
@ -405,140 +428,58 @@ User task: {user_task}
|
|||
|
||||
## 🚀 How to Use Custom Agents
|
||||
|
||||
### Method 1: Direct Task Invocation
|
||||
### Step 1: Create the Agent File
|
||||
|
||||
```bash
|
||||
# Use N8N Workflow Specialist
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''[paste the full prompt from above]'''
|
||||
)
|
||||
# Create directory
|
||||
mkdir -p .claude/agents
|
||||
|
||||
# In your task, the agent will apply n8n-specific knowledge
|
||||
# Create agent from template (see agent-templates.md)
|
||||
# Copy the YAML frontmatter + system prompt
|
||||
```
|
||||
|
||||
### Method 2: Create Agent Template File
|
||||
|
||||
Create `/home/bam/claude/mvp-factory/agent-templates.md`:
|
||||
|
||||
```markdown
|
||||
# Custom Agent Templates
|
||||
|
||||
## N8N Workflow Specialist
|
||||
```javascript
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
[full prompt here]
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
## Security Audit Specialist
|
||||
```javascript
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Security Audit Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
[full prompt here]
|
||||
'''
|
||||
)
|
||||
```
|
||||
```
|
||||
|
||||
Then copy-paste when needed.
|
||||
|
||||
### Method 3: Integrated Task with Context
|
||||
### Step 2: Manage with `/agents` Command
|
||||
|
||||
```bash
|
||||
# Provide task + relevant context
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
You are the n8n Workflow Specialist for AI Dev Factory.
|
||||
# List all agents
|
||||
/agents
|
||||
|
||||
Context:
|
||||
- Current workflow ID: j1MmXaRhDjvkRSLa
|
||||
- Issue: Data not preserved after SSH node
|
||||
- Using: $node["Extract Repo Info"].json pattern
|
||||
# Create agent interactively (easier)
|
||||
/agents create
|
||||
|
||||
Task: Debug why workflow data is being lost and provide fix
|
||||
# View agent details
|
||||
/agents show n8n-workflow-specialist
|
||||
|
||||
The agent will use its n8n expertise to analyze and solve this.
|
||||
'''
|
||||
)
|
||||
# Edit existing agent
|
||||
/agents edit n8n-workflow-specialist
|
||||
```
|
||||
|
||||
### Step 3: Invoke in Conversation
|
||||
|
||||
**Explicit invocation (recommended):**
|
||||
```
|
||||
"Use the n8n-workflow-specialist agent to debug my workflow"
|
||||
"Have the security-audit-specialist check API key permissions"
|
||||
"Use the phase3-implementation-specialist to create an implementation plan"
|
||||
```
|
||||
|
||||
**Automatic delegation:**
|
||||
Claude will automatically use agents based on task descriptions and configurations.
|
||||
|
||||
**Chaining agents:**
|
||||
```
|
||||
"First use the code-analyzer agent, then the optimizer agent"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📚 Best Practices
|
||||
## 📚 Usage Examples
|
||||
|
||||
### 1. Choose the Right Model
|
||||
- **sonnet**: Most tasks, good balance of capability/speed
|
||||
- **opus**: Complex analysis, Phase 3 implementation, multi-system debugging
|
||||
- **haiku**: Simple tasks, quick lookups
|
||||
### Example 1: Debug n8n Workflow
|
||||
|
||||
### 2. Optimize Prompts
|
||||
```bash
|
||||
✅ Good prompt structure:
|
||||
- Role: What you are
|
||||
- Expertise: What you know
|
||||
- Current setup: System state
|
||||
- Key patterns: Critical info to remember
|
||||
- Task: What to do
|
||||
- Format: How to respond
|
||||
|
||||
❌ Avoid:
|
||||
- Too vague: "help with n8n"
|
||||
- Missing context: No system info
|
||||
- Unclear output: No response format specified
|
||||
**Request:**
|
||||
```
|
||||
|
||||
### 3. Chain Agents for Complex Tasks
|
||||
```bash
|
||||
# Step 1: Audit with Security Agent
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Security Audit Specialist',
|
||||
model='sonnet',
|
||||
prompt='[security audit prompt]'
|
||||
)
|
||||
|
||||
# Step 2: Fix issues with N8N Agent
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='[n8n fix prompt with audit results]'
|
||||
)
|
||||
```
|
||||
|
||||
### 4. Reuse Successful Patterns
|
||||
```bash
|
||||
# Save working agent configurations
|
||||
# Reference them by name in future tasks
|
||||
# Refine based on results
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Example Use Cases
|
||||
|
||||
### Use Case 1: Debug n8n Workflow
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='n8n Workflow Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
Debug workflow ID j1MmXaRhDjvkRSLa
|
||||
Use the n8n-workflow-specialist agent to debug workflow ID j1MmXaRhDjvkRSLa
|
||||
|
||||
Issue: After SSH node execution, repository data is lost
|
||||
Current pattern: Using $node["Extract Repo Info"].json
|
||||
|
|
@ -553,18 +494,17 @@ Please:
|
|||
5. Explain why current implementation fails
|
||||
|
||||
Reference: N8N_DATA_PRESERVATION_SOLUTION.md
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
### Use Case 2: Security Audit
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Security Audit Specialist',
|
||||
model='sonnet',
|
||||
prompt='''
|
||||
Perform comprehensive security audit of AI Dev Factory:
|
||||
**Agent will:** Apply n8n-specific expertise to analyze and solve the issue
|
||||
|
||||
---
|
||||
|
||||
### Example 2: Security Audit
|
||||
|
||||
**Request:**
|
||||
```
|
||||
Have the security-audit-specialist perform a comprehensive security audit:
|
||||
|
||||
1. Check file permissions on all API keys and credentials
|
||||
2. Verify no secrets in git history
|
||||
|
|
@ -583,18 +523,17 @@ Files to check:
|
|||
- /home/bam/openhands/.env
|
||||
- /home/bam/.ssh/n8n_key
|
||||
- Gitea webhook configurations
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
### Use Case 3: Phase 3 Implementation
|
||||
```bash
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Phase 3 Implementation Specialist',
|
||||
model='opus',
|
||||
prompt='''
|
||||
Create implementation plan for Phase 3 Step 1: Setup Test Repository
|
||||
**Agent will:** Perform systematic security audit with project-specific knowledge
|
||||
|
||||
---
|
||||
|
||||
### Example 3: Phase 3 Implementation
|
||||
|
||||
**Request:**
|
||||
```
|
||||
Use the phase3-implementation-specialist to create implementation plan for Phase 3 Step 1: Setup Test Repository
|
||||
|
||||
Details:
|
||||
- Need to create repository: "autonomous-build-test"
|
||||
|
|
@ -610,18 +549,111 @@ Please provide:
|
|||
5. Troubleshooting guide
|
||||
|
||||
Reference: phase3.md for complete context
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
**Agent will:** Use Phase 3 expertise to create detailed implementation plan
|
||||
|
||||
---
|
||||
|
||||
## 📖 Documentation Files
|
||||
## 🎓 Advanced Techniques
|
||||
|
||||
### 1. Agent Chaining
|
||||
|
||||
**Pattern:**
|
||||
```
|
||||
"First use code-analyzer agent to understand the codebase, then optimizer agent to improve it"
|
||||
```
|
||||
|
||||
### 2. Resume Previous Agent Execution
|
||||
|
||||
Each agent execution gets an `agentId` for resuming later:
|
||||
- Stored in `agent-{agentId}.jsonl`
|
||||
- Pass `resume: "agentId"` to continue previous conversations
|
||||
|
||||
### 3. Context Passing
|
||||
|
||||
**Step 1:** Use one agent to generate plan
|
||||
**Step 2:** Use another agent to implement (reference Step 1 output)
|
||||
|
||||
### 4. Model Selection
|
||||
|
||||
**sonnet** (default):
|
||||
- Balanced capability and speed
|
||||
- Good for most tasks
|
||||
|
||||
**opus**:
|
||||
- More capable for complex analysis
|
||||
- Use for Phase 3 implementation, multi-system debugging
|
||||
|
||||
**haiku**:
|
||||
- Fast, lightweight
|
||||
- Use for simple, quick exploration
|
||||
|
||||
**'inherit'**:
|
||||
- Uses main conversation's model
|
||||
|
||||
---
|
||||
|
||||
## 📋 Best Practices
|
||||
|
||||
### 1. Create Focused Agents
|
||||
- Single responsibility per agent
|
||||
- Clear, specific descriptions
|
||||
- Detailed system prompts
|
||||
|
||||
### 2. Use Tool Restrictions
|
||||
```yaml
|
||||
---
|
||||
tools: Read, Grep, Bash # Limit to necessary tools only
|
||||
---
|
||||
```
|
||||
|
||||
### 3. Document Everything
|
||||
- Clear descriptions
|
||||
- Detailed system prompts
|
||||
- Reference documentation
|
||||
|
||||
### 4. Version Control
|
||||
- Commit agent files to git
|
||||
- Track changes to agent prompts
|
||||
- Maintain changelog
|
||||
|
||||
### 5. Start Simple
|
||||
- Begin with basic agent
|
||||
- Test with simple tasks
|
||||
- Add complexity gradually
|
||||
|
||||
---
|
||||
|
||||
## 🔍 Troubleshooting
|
||||
|
||||
### Agent Not Found
|
||||
- Check file exists in `.claude/agents/`
|
||||
- Verify YAML frontmatter is valid
|
||||
- Use `/agents` to list available agents
|
||||
|
||||
### Agent Not Being Used
|
||||
- Use explicit invocation: "Use the [agent-name] agent..."
|
||||
- Check agent description matches task
|
||||
- Ensure agent is properly configured
|
||||
|
||||
### Wrong Agent Invoked
|
||||
- Be more specific in invocation
|
||||
- Check agent descriptions
|
||||
- Use explicit agent name
|
||||
|
||||
### Agent Execution Fails
|
||||
- Check YAML syntax
|
||||
- Verify model is valid
|
||||
- Test with simple prompt first
|
||||
|
||||
---
|
||||
|
||||
## 📖 Reference Files
|
||||
|
||||
### Created Files
|
||||
- **custom-subagents-usage-guide.md** - This file
|
||||
- **agent-templates.md** - Copy-paste ready templates (create separately)
|
||||
- **claude-code-subagents-doc.md** - General Claude Code sub-agents guide
|
||||
- **agent-templates.md** - Copy-paste ready templates
|
||||
|
||||
### Referenced Files
|
||||
- **phase3.md** - Phase 3 implementation plan
|
||||
|
|
@ -630,83 +662,38 @@ Reference: phase3.md for complete context
|
|||
|
||||
---
|
||||
|
||||
## 🎓 Advanced Techniques
|
||||
|
||||
### 1. Agent Composition
|
||||
```bash
|
||||
# Combine multiple agents for complex tasks
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Multi-Agent Coordinator',
|
||||
model='opus',
|
||||
prompt='''
|
||||
Coordinate between multiple specialists:
|
||||
|
||||
1. First: Use Security Audit Agent to check API keys
|
||||
2. Then: Use N8N Agent to fix any workflow issues
|
||||
3. Finally: Use Docker Agent to restart services
|
||||
|
||||
Provide progress updates at each step.
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
### 2. Context Passing
|
||||
```bash
|
||||
# Step 1: Generate plan with Phase 3 Agent
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Phase 3 Implementation Specialist',
|
||||
model='opus',
|
||||
prompt='Create plan for Steps 1-3'
|
||||
)
|
||||
|
||||
# Step 2: Execute with relevant agents (using output from Step 1)
|
||||
```
|
||||
|
||||
### 3. State Management
|
||||
```bash
|
||||
# Use staticData for agent state
|
||||
Task(
|
||||
subagent_type='general-purpose',
|
||||
description='Stateful Workflow Agent',
|
||||
prompt='''
|
||||
Track implementation progress:
|
||||
- Current step: {current_step}
|
||||
- Completed: {completed_steps}
|
||||
- Next: {next_step}
|
||||
|
||||
Update progress and move to next step.
|
||||
'''
|
||||
)
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## ✅ Summary
|
||||
|
||||
**Custom Sub-Agents Provide:**
|
||||
- Project-specific expertise
|
||||
- Consistent problem-solving approach
|
||||
- Reusable knowledge patterns
|
||||
- Efficient task execution
|
||||
- Specialized context awareness
|
||||
- Persistent configuration
|
||||
|
||||
**How to Use:**
|
||||
1. Choose appropriate agent for your task
|
||||
2. Use Task tool with subagent_type='general-purpose'
|
||||
3. Include model specification (sonnet/opus/haiku)
|
||||
4. Provide task prompt with context
|
||||
5. Agent applies specialized knowledge
|
||||
1. Create `.claude/agents/` directory
|
||||
2. Add agent files with YAML frontmatter
|
||||
3. Use `/agents` command to manage
|
||||
4. Invoke explicitly: "Use the [agent] agent..."
|
||||
5. Agents apply specialized knowledge
|
||||
|
||||
**Key Differences from Previous Approach:**
|
||||
- ✅ File-based (not Task tool)
|
||||
- ✅ YAML frontmatter configuration
|
||||
- ✅ `/agents` command for management
|
||||
- ✅ Stored in `.claude/agents/` directory
|
||||
- ✅ Can be version controlled
|
||||
|
||||
**Next Steps:**
|
||||
1. Copy-paste agent prompts from this guide
|
||||
2. Create agent-templates.md for quick access
|
||||
3. Test with your specific use cases
|
||||
4. Refine prompts based on results
|
||||
5. Build your agent library
|
||||
1. Create `.claude/agents/` directory
|
||||
2. Copy templates from `agent-templates.md`
|
||||
3. Use `/agents create` for easy setup
|
||||
4. Test with specific tasks
|
||||
5. Refine based on results
|
||||
|
||||
---
|
||||
|
||||
*Custom Sub-Agents Guide - Last Updated: 2025-12-02*
|
||||
*Based on official Claude Code documentation*
|
||||
*Ready for AI Dev Factory Project Use*
|
||||
|
|
|
|||
Loading…
Reference in New Issue