AMAP-ML

AMAP-ML / SkillClaw

Public

Let Skills Evolve Collectively with Agentic Evolver

92
13
100% credibility
Found Apr 10, 2026 at 92 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

SkillClaw is a framework for evolving reusable skills among AI agents from shared real-world interactions in multi-user setups.

How It Works

1
🔍 Discover SkillClaw

You hear about SkillClaw, a helpful tool that makes your AI assistant smarter by learning from real chats.

2
📦 Easy Setup

Follow simple steps to add it to your computer, like installing a helpful app.

3
🔗 Link Your AI Helper

Connect your favorite AI service so SkillClaw can watch and learn from conversations.

4
💬 Chat as Usual

Talk to your AI agent normally – SkillClaw quietly records what works and what doesn't.

5
🧠 Skills Grow Smarter

In the background, experiences turn into reusable tips that make your agent better over time.

🚀 Smarter Agent, Shared Wins

Your assistant performs better on tough tasks, and you can share improvements with friends.

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Star Growth

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AI-Generated Review

What is SkillClaw?

SkillClaw builds collective skill evolution for agentic LLM ecosystems in Python. It proxies OpenAI-compatible API calls like `/v1/chat/completions` to log agent sessions, distills real-world experience into reusable markdown skills stored on OSS/S3 or local files, and runs evolve servers that iteratively refine them from group data. Users chat normally with Claw agents; skills pull/push/sync automatically, boosting performance without extra work.

Why is it gaining traction?

Zero-effort background evolution across frameworks like CoPaw and IronClaw sets it apart from static prompts—proven gains on WildClawBench via smarter experience sharing. CLI like `skillclaw start` and `skills pull` make it drop-in for GitHub let's build from here or let's do automation flows, letting GitHub Copilot's agent mode handle heavy lifting while skills evolve collectively.

Who should use this?

Multi-agent teams tackling coding benches or automation pipelines, where skills let employers know how valuable you can be through shared expertise. Devs evaluating agentic setups against skillclash rivals, or those wanting skills let me show my newfound off in group evals.

Verdict

Intriguing agentic evolver for collective skills, with easy install scripts and WildClawBench experiments. But 92 stars and 1.0% credibility signal early days—test locally before production. Worth a spin if bronze skillshroom let it die vibes appeal.

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