gepa Agent Skills & AI Rules

# GEPA

GEPA (Genetic-Pareto) is a Python framework for optimizing text components (AI prompts, code, instructions) using LLM-based reflection and Pareto-efficient evolutionary search.

## Agent Skill

This repository ships an **Agent Skill** at `.claude/skills/gepa-optimize-anything/`. If you are a coding agent and the user wants to **auto-optimize, tune, or search over any scorable text artifact** (a prompt, program/code, config, regex/SQL, or agent scaffold) with `gepa.optimize_anything`, read `.claude/skills/gepa-optimize-anything/SKILL.md` first and follow it. It is auto-discovered by Claude Code and by other agents that read `.claude/skills/` (Cursor, VS Code/Copilot, Codex, Gemini CLI). To install it standalone in another project: `/plugin marketplace add gepa-ai/gepa` then `/plugin install gepa-optimize-anything@gepa`.

## Setup

We use **uv** for dependency management. The project uses setuptools as the build backend. All python executions must be done through uv.

```bash
uv sync --extra dev
```

## Project Structure

- `src/gepa/` — main package source
  - `core/` — optimization loop, state, evaluation
  - `proposer/` — candidate proposal and mutation logic
  - `adapters/` — integration adapters (DSPy, RAG, MCP, etc.)
  - `strategies/` — batch sampling and candidate selection
  - `logging/` — experiment tracking and logging
- `tests/` — pytest test suite
- `docs/` — mkdocs documentation site

## Build & Test

```bash
uv run pytest
uv run ruff check src/
uv run ruff format src/
uv run pyright src/
```

## Code Style

- Linter/formatter: ruff (line length 120, double quotes, space indent)
- Type checking: pyright
- Python target: 3.10+
- No relative imports (enforced by ruff)