antongulin

antongulin / opencode-skill-creator

Public

OpenCode skill for creating, testing, and optimizing other OpenCode skills. Adapted from Anthropic's skill-creator for Claude Code.

13
2
100% credibility
Found Apr 11, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A helper tool for OpenCode that guides the creation, automatic testing, and optimization of custom AI agent skills through an evaluation-driven process.

How It Works

1
🔍 Find the skill maker

While chatting with OpenCode or browsing helpers, you discover this tool that makes creating custom skills super easy and smart.

2
📥 Bring it home

With one quick command or a simple note in your settings, you add this helper to OpenCode so it's always ready.

3
🔄 Refresh and go

Restart OpenCode, and now it knows all about your new skill-building friend.

4
💭 Dream up a skill

Just tell OpenCode what you need, like 'Make a skill for fixing Docker setups,' and it jumps right in to build it.

5
🧪 Test it thoroughly

It crafts a first version, dreams up test questions, runs checks to see if it triggers perfectly, and measures success.

6
📈 Polish to perfection

View colorful reports and charts, then let it tweak the wording over a few rounds until it shines every time.

✨ Skill ready to shine

Your brand-new, battle-tested helper skill is installed and waiting to make your OpenCode sessions even more powerful.

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Star Growth

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AI-Generated Review

What is opencode-skill-creator?

This TypeScript plugin and skill for OpenCode automates creating, testing, and optimizing custom OpenCode skills, turning guesswork into eval-driven development. You install it via npm with `npx opencode-skill-creator install --global`, add it to your opencode.json plugins array, and then prompt OpenCode like "Create a skill for Docker compose files"—it handles analysis, eval set generation, trigger accuracy testing, iterative description tweaks, benchmarking, and deployment to your skills folder. Adapted from Anthropic's skill-creator, it works with any OpenCode-supported model.

Why is it gaining traction?

It stands out by quantifying skill quality through automated evals (should-trigger vs. false positives), optimization loops that prevent overfitting via train/test splits, and tools like HTML review viewers for human feedback. Developers notice the quantitative benchmarks and live reports, replacing manual testing with reliable metrics. Easy global or project installs make it a quick win for opencode github integration or building opencode skills marketplace entries.

Who should use this?

OpenCode users crafting custom skills for repetitive tasks, like opencode github agent workflows, opencode github copilot alternatives, or opencode skills examples for database migrations and API docs. Ideal for teams setting up opencode github enterprise or opencode github copilot models in shared repos, where precise skill triggers matter. Skip if you're not deep into OpenCode extensibility.

Verdict

Grab it if you're building opencode skills regularly—solid docs and one-command setup make the 1.0% credibility score (13 stars) forgivable for an early port. Maturity shows in thorough install options and troubleshooting, but watch for broader adoption before production reliance.

(198 words)

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