- 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>
68 lines
1.8 KiB
YAML
68 lines
1.8 KiB
YAML
# describes the mcp servers to use
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mcpServers:
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filesystem:
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type: stdio
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command: npx
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args:
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- -y
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- "@modelcontextprotocol/server-filesystem"
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- .
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playwright:
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type: stdio
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command: npx
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args:
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- -y
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- "@playwright/mcp@latest"
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# hf:
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# type: stdio
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# command: npx
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# args:
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# - -y
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# - "@llmindset/mcp-hfspace"
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# System prompt configuration - defines the agent's behavior and instructions
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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 helpful AI assistant with access to tools.
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Use these tools when appropriate to answer user queries.
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You can use multiple tools in sequence to solve complex problems.
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After each tool result, determine if you need more information or can provide a final answer.
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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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# first start the ollama server
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# ollama run gemma3n:e2b
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# then run the following command to start the agent:
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# dexto --agent <path_to_ollama.yml>
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# dexto --agent <path_to_ollama.yml> for web ui
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llm:
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provider: openai-compatible
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model: gemma3n:e2b
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baseURL: http://localhost:11434/v1
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apiKey: $OPENAI_API_KEY
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maxInputTokens: 32768
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# Storage configuration - uses a two-tier architecture: cache (fast, ephemeral) and database (persistent, reliable)
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# Memory cache with file-based database (good for development with persistence)
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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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# path: ./data/dexto.db
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## To use Google Gemini, replace the LLM section with Google Gemini configuration below
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## Similar for anthropic/groq/etc.
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# llm:
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# provider: google
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# model: gemini-2.0-flash
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# apiKey: $GOOGLE_GENERATIVE_AI_API_KEY
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