skill-intelligence-agent

skill-intelligence-agent

Enables external clients to query a vector knowledge base about skills and roles through an MCP retrieval tool, supporting RAG-based question answering with tool-calling.

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README

Skill Intelligence Agent

A RAG-powered agent that answers questions about skills/roles by retrieving from a vector knowledge base and reasoning over it with tool-calling, exposed both as a REST API and as an MCP server.

Architecture

  • RAG layer (app/rag) — Chroma vector store + sentence-transformer embeddings
  • Agent layer (app/agent) — Claude tool-calling loop that queries the RAG layer
  • MCP layer (app/mcp) — exposes the same retrieval tool over MCP for external clients
  • API (app/main.py) — FastAPI endpoints: /health, /ingest, /query
  • Deploy — Dockerized, deployed to AWS, CI/CD via GitHub Actions

Local development

pip install -r requirements.txt
cp .env.example .env  # add your ANTHROPIC_API_KEY
uvicorn app.main:app --reload

Docker

docker build -t skill-intelligence-agent .
docker run -p 8000:8000 --env-file .env skill-intelligence-agent

Tests

pytest tests/ -v

Roadmap

  • [x] RAG pipeline (ingest + retrieve)
  • [x] Agent tool-calling loop
  • [x] MCP server exposing retrieval as a tool
  • [x] Dockerfile
  • [x] CI/CD (test + build + push)
  • [ ] AWS deployment (ECS/Lambda)
  • [ ] Auth + rate limiting
  • [ ] Demo UI / recorded walkthrough

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