smixs

smixs / skill-conductor

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A skill that creates, evaluates, and improves other agent skills. TDD approach. Synthesized from Anthropic's 32-page guide + obra/superpowers + mgechev/best-practices + OpenClaw skill-creator. 5 modes: CREATE, EVAL, EDIT, REVIEW, PACKAGE.

t.meaimastersme agent-skills ai-agents anthropic claude-code knowledge-management
16
3
100% credibility
Found Mar 04, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Skill Conductor is a specialized guide that helps create, evaluate, improve, review, and package custom abilities for AI assistants like Claude.

How It Works

1
🔍 Discover Skill Conductor

You hear about a helpful guide that makes your AI assistant smarter by creating custom abilities for specific tasks.

2
📥 Add it to your AI

You download the folder and place it in your AI helper's skills area, like a special drawer for new tricks.

3
💭 Tell your AI what you need

You chat with your AI about wanting a new ability, like handling design files or managing projects, and it automatically pulls in Skill Conductor.

4
🛠️ Pick your action

Your AI offers simple choices: build a fresh ability, check one you have, tweak it, review someone else's, or prepare it to share.

5
Choose your path
✨
Build new

Start from scratch with a guided template to create a custom ability.

🔍
Check quality

Score an existing ability to see how good it is and spot fixes.

✏️
Improve it

Make targeted changes to an ability without breaking what works.

📦
Ready to share

Validate and bundle it up neatly for others to use.

6
✅ Follow the friendly steps

Your AI walks you through writing clear instructions, adding helpful extras, and avoiding common mistakes.

🚀 AI supercharged!

Your assistant now handles the task perfectly every time, saving you hours and making work fun.

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AI-Generated Review

What is skill-conductor?

Skill-conductor is a Python toolset for Anthropic's agent skills, like those in Claude or OpenClaw setups. It creates, evaluates, edits, reviews, and packages new skills using a TDD approach pulled from Anthropic's 32-page guide and other best practices. Drop it into your skills folder, and it auto-triggers on skill-building tasks, enforcing clean descriptions that avoid process leaks so agents actually use the skill body.

Why is it gaining traction?

Unlike raw skill templates, it scores skills across 10 criteria (up to 50 points) with automated checks for structure, triggers, and token budgets, plus a process leak detector that catches bad descriptions. CLI tools let you init new skills with patterns like workflows or task trees, eval folders instantly, and package into distributable .skill zips after validation. Developers dig the problem-signal-fix tables for quick fixes and the bridge-vs-field modes for strict or flexible routing.

Who should use this?

AI engineers building github skill anthropic or claude skills, especially for cloud skill github or conductor skills in agent workflows. Perfect for teams iterating on skill github copilot extensions or humanizer skill github tools, where you need consistent eval before deploying to production agents.

Verdict

Early project at 16 stars and 1.0% credibility score—docs are solid from the 32-page source, but test it thoroughly on your setup before relying on it. Worth a spin if you're deep in agent skill creation; skip for one-offs. (187 words)

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