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

• RAG pipeline (ingest + retrieve)

• Agent tool-calling loop

• MCP server exposing retrieval as a tool

• Dockerfile

• CI/CD (test + build + push)

• AWS deployment (ECS/Lambda)

• Auth + rate limiting

• Demo UI / recorded walkthrough