---
title: "Evolve reusable coding-agent skills from failed trajectories with EvoSkill"
description: "Mine failed agent runs for reusable skills, benchmark the candidates, and keep only the variants that improve a supported coding agent over your baseline."
verification: "security_reviewed"
source: "https://github.com/sentient-agi/EvoSkill"
author: "Sentient"
publisher_type: "organization"
category:
  - "Templates & Workflows"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "sentient-agi/EvoSkill"
  github_stars: 489
---

# Evolve reusable coding-agent skills from failed trajectories with EvoSkill

Mine failed agent runs for reusable skills, benchmark the candidates, and keep only the variants that improve a supported coding agent over your baseline.

## Prerequisites

Python environment, a supported coding agent such as Claude Code, OpenCode, OpenHands, Goose, or Codex CLI, and a benchmark or task set to optimize against

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
Follow the repository Quickstart to install EvoSkill, connect a supported coding agent, and run the evaluation loop against your chosen benchmark or task set.
```

## Documentation

- https://github.com/sentient-agi/EvoSkill

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/evolve-reusable-coding-agent-skills-from-failed-trajectories-with-evoskill/)