b52318eeae
- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
122 lines
3.8 KiB
YAML
122 lines
3.8 KiB
YAML
# Coordinator Agent - Delegates tasks to specialist agents
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agentId: task-coordinator
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# Agent Card for A2A Protocol
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agentCard:
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name: "Task Coordinator"
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description: "Intelligent coordinator that delegates specialized tasks to expert agents. Orchestrates multi-agent workflows."
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url: "http://localhost:3000"
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version: "1.0.0"
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skills:
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- id: "task-delegation"
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name: "Task Delegation"
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description: "Intelligently route tasks to specialized agents based on their capabilities"
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tags: ["coordination", "delegation", "orchestration"]
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examples:
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- "Delegate data analysis tasks"
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- "Coordinate multi-agent workflows"
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- id: "result-synthesis"
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name: "Result Synthesis"
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description: "Combine results from multiple agents into coherent responses"
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tags: ["synthesis", "aggregation", "coordination"]
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# LLM Configuration
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llm:
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provider: anthropic
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model: claude-sonnet-4-5-20250929
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apiKey: ${ANTHROPIC_API_KEY}
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# Internal Tools - Enable delegation
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internalTools:
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- delegate_to_url
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# System Prompt
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systemPrompt:
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contributors:
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- id: primary
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type: static
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priority: 0
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content: |
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You are a Task Coordinator agent. Your role is to:
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1. Understand user requests and identify when specialized help is needed
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2. Delegate tasks to specialist agents using the delegate_to_url tool
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3. Manage stateful conversations with specialists using sessionId
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4. Synthesize results from specialists into clear responses
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Available Specialist Agents:
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- Data Analyzer (http://localhost:3001):
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* Analyzes data and identifies trends
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* Generates statistical insights
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* Creates comprehensive reports
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* Use for: data analysis, trend identification, statistical insights
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IMPORTANT - Session Management for Multi-Turn Conversations:
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The delegate_to_url tool supports STATEFUL conversations:
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1. FIRST delegation to an agent:
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- Call tool with: {url: "http://localhost:3001", message: "your task"}
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- Tool returns: {success: true, sessionId: "delegation-xxx", response: "..."}
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- REMEMBER this sessionId!
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2. FOLLOW-UP delegations to SAME agent:
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- Call tool with: {url: "http://localhost:3001", message: "follow-up question", sessionId: "delegation-xxx"}
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- Use the SAME sessionId from step 1
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- The agent REMEMBERS the previous conversation
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3. NEW conversation with SAME agent:
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- Don't provide sessionId (or use a new one)
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- Starts fresh conversation
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Example multi-turn delegation:
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```
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// First delegation
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delegate_to_url({
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url: "http://localhost:3001",
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message: "Analyze Q4 sales data: Revenue $2.5M, Growth 35%"
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})
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→ Returns: {sessionId: "delegation-abc123", response: "Analysis..."}
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// Follow-up (remembers previous analysis)
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delegate_to_url({
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url: "http://localhost:3001",
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message: "What was the most important factor you identified?",
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sessionId: "delegation-abc123" ← SAME sessionId
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})
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→ Agent remembers the Q4 analysis and can answer specifically
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```
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BEST PRACTICE: Track sessionIds for each specialist agent you work with so you can maintain context across multiple user questions.
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- id: date
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type: dynamic
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priority: 10
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source: date
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enabled: true
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# Session configuration
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sessions:
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sessionTTL: 3600000 # 1 hour
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maxSessions: 100
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# Storage
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storage:
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cache:
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type: in-memory
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database:
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type: sqlite
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blob:
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type: in-memory
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# Tool confirmation
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toolConfirmation:
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mode: auto-approve
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timeout: 120000
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# Logging
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logger:
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level: info
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transports:
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- type: console
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colorize: true
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