sandiiarov

sandiiarov / skill-creator

Public

Turn any MCP server, OpenAPI spec, or GraphQL endpoint into a CLI at runtime.

34
51
89% credibility
Found May 31, 2026 at 34 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Skill Creator is a tool that transforms API documentation links into ready-to-use skills for AI assistants. Instead of copying and pasting API docs into every conversation, you install one command that lets your AI assistant create reusable skills with wrapper scripts, saved references, and usage notes. These skills work with many popular AI coding assistants and can be improved over time as the assistant learns from real usage.

How It Works

1
🔗 You discover an API you need to use

You find a useful API service but don't want to read through all the documentation every time.

2
⚡ You install the skill creator into your AI assistant

With one simple command, you add a new ability to your AI assistant that lets it create reusable skills.

3
✨ You turn an API link into a ready-to-use skill

You share a link to the API documentation with your assistant, and it creates a complete skill with scripts, examples, and notes.

4
Your assistant creates the right type of skill
📄
OpenAPI specs

For REST APIs, your assistant saves the spec and creates commands for every endpoint.

🔮
GraphQL schemas

For GraphQL APIs, your assistant saves the schema and creates queries and mutations.

🔌
MCP servers

For Model Context Protocol servers, your assistant wraps the available tools.

5
🤖 Your AI assistant learns from real usage

As you use the skill, your assistant remembers helpful tips, quirks, and faster ways to get things done.

🎉 You have a reusable skill that just works

Now any AI assistant can use your skill instantly—no more pasting API docs into every conversation.

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AI-Generated Review

What is skill-creator?

skill-creator is a TypeScript CLI tool that converts API specifications into ready-to-use command-line interfaces and AI agent skills. Point it at an OpenAPI spec, GraphQL endpoint, or MCP server, and it generates wrapper scripts, documentation, and skill definitions that AI agents can use directly. Instead of pasting API docs into every chat, you install a slash command and let the agent create reusable skills for the tools your team uses. The generated skills include discoverable commands via `commands list` and `commands search`, plus usage notes and gotchas that accumulate over time.

Why is it gaining traction?

The hook is simple: AI agents are terrible at calling APIs from raw documentation, but great at following well-defined commands. This tool bridges that gap by generating structured, executable skills from specs that already exist. It supports OpenAPI (JSON/YAML), GraphQL (introspection or SDL), and MCP servers over HTTP or stdio. The improvement loop is clever -- when an agent discovers a gotcha or faster workflow, it patches the skill directly. Caching is built in for specs and schemas, so repeated calls skip network requests. Multi-agent support covers Claude Code, Codex, Cursor, OpenCode, Gemini CLI, GitHub Copilot, and others.

Who should use this?

Developers building AI agent workflows who want reliable API interactions. Teams with internal tools that lack good agent integrations. Anyone tired of watching agents hallucinate API calls from pasted documentation. It's less useful if your agents don't need to call external APIs, or if you only use one-off API calls rather than recurring workflows.

Verdict

This is a niche but genuinely useful tool for a specific problem. The 0.899% credibility score reflects early-stage maturity -- 34 stars and minimal community traction. Test coverage looks solid and the multi-agent support is ambitious. If you're deep in AI agent tooling, it's worth a look. For general use, wait for more adoption and documentation to mature.

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