# Iteratively optimize prompts and text-based agent configs against scored eval sets with GEPA

> Use reflective search to improve prompts or text-configured agent components against a real eval set instead of manual prompt tweaking.

- Skill: `agentskillexchange/iteratively-optimize-prompts-and-text-based-agent-configs-ag` (Agent Skill)
- Install (CLI): `npx skillmds@latest add agentskillexchange/iteratively-optimize-prompts-and-text-based-agent-configs-ag`
- Raw SKILL.md: https://api.skillmd.com/api/skills/agentskillexchange/iteratively-optimize-prompts-and-text-based-agent-configs-ag/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: agentskillexchange (https://skillmd.com/u/agentskillexchange)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/agentskillexchange/iteratively-optimize-prompts-and-text-based-agent-configs-ag

---


# Iteratively optimize prompts and text-based agent configs against scored eval sets with GEPA

Use reflective search to improve prompts or text-configured agent components against a real eval set instead of manual prompt tweaking.

## Prerequisites

Python environment, GEPA package, train and validation examples with a scoring function, model provider credentials or local models, target prompt or text configuration to optimize

## Installation

Use the upstream install or setup path that matches your environment:
- pip install gepa
- pip install git+https://github.com/gepa-ai/gepa.git

Requirements and caveats from upstream:
- <a href="https://pypi.org/project/gepa/"><img src="https://img.shields.io/pypi/v/gepa?logo=python&logoColor=white&color=3776ab" alt="PyPI"></a>

Basic usage or getting-started notes:
- <a href="https://gepa-ai.github.io/gepa/guides/quickstart/"><strong>Quick Start</strong></a> &ensp;|&ensp;
- bash
- To install the latest from main:

- Source: https://github.com/gepa-ai/gepa
- Extracted from upstream docs: https://raw.githubusercontent.com/gepa-ai/gepa/HEAD/README.md

## Documentation

- https://gepa-ai.github.io/gepa/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/iteratively-optimize-prompts-and-text-based-agent-configs-against-scored-eval-sets-with-gepa/)