Skill engineering methodology and publishing pipeline for AI agent skills. Validates structure, scans for security, audits entire projects, and publishes to GitHub. Skills are code — engineer them like it.
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<p>From local experiment to installable, trustworthy skill — in one command.</p>
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> **Skills are code. Engineer them like it.**
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[![License: MIT][license-shield]][license-url]
[![Version][version-shield]][version-url]
[![Agent Skills][skills-shield]][skills-url]
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<a href="#quick-start">Quick Start</a> ·
<a href="#usage">Usage</a> ·
<a href="#install">Install</a> ·
<a href="https://agentskills.io">Agent Skills</a>
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## The Problem
The Agent Skills ecosystem has grown to 88K+ published skills ([SkillsMP](https://skillsmp.com), [skills.sh](https://skills.sh)). Community audits estimate ~26% have security vulnerabilities. Most have descriptions that don't cover their actual trigger scenarios. There is no standard for what a "well-engineered skill" looks like.
**If you haven't published yet** — your skill is trapped in one project, can't be shared, and doesn't meet any platform's install standard. No README, no LICENSE, no proper structure, no discoverability.
**If you already published** — your repo might have issues you haven't noticed: leaked API keys in config files, missing .gitignore entries, structure that doesn't match the [Agent Skills](https://agentskills.io) standard, or claims in the README that don't match what the skill actually does.
The gap is not in authoring — AI agents can already help write skill content. The gap is in engineering: validating structure, scanning for security issues, checking description coverage, catching README claims that don't match actual capabilities, and publishing correctly.
## What Skill Forge Does
- **Audits entire projects** — point forge at anyAgent that generates comprehensive documentation, API references, architecture diagrams, and developer onboarding guides from existing code.
Agent configuration for systematic bug investigation that traces issues from error logs through the codebase to root cause with suggested fixes.
Agent for integrating third-party APIs including SDK setup, type generation, error handling, retry logic, and rate limit management.
Cursor's built-in autonomous coding agent that can make multi-file edits, run terminal commands, search the codebase, and iteratively build features with minimal human intervention.
Cloud-based autonomous coding agent that runs in the background on remote sandboxed environments, handling complex multi-step tasks while you continue working.
Cursor's multi-file editing agent within Composer mode that can create, edit, and delete files across your entire project in a single conversation.