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.
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.
Installation
Method 1, Agent Skill Exchange
- Install from the marketplace listing: https://agentskillexchange.com/skills/iteratively-optimize-prompts-and-text-based-agent-configs-against-scored-eval-sets-with-gepa/
Method 2, Git clone
git clone https://github.com/agentskillexchange/skills.git && cd skills/skills/iteratively-optimize-prompts-and-text-based-agent-configs-against-scored-eval-sets-with-gepa
Method 3, Download ZIP
- Download the repository ZIP and extract
skills/iteratively-optimize-prompts-and-text-based-agent-configs-against-scored-eval-sets-with-gepa.
Method 4, Manual copy
- Copy this skill folder into your local skills directory, then reload your agent tooling.
Method 5, Fork and sync
- Fork the repository if you want to maintain local edits while syncing upstream changes.