lee-toCommunity·50 Agent Skills Included

ai-factory

Spec-driven AI development workflow from planning to verified commits

Automates the full AI-assisted development cycle: project setup, feature planning, implementation, code review, QA, security audits, and conventional commits. Eliminates manual prompt engineering, lost context between sessions, and unverified AI-generated code. Works with 16 AI agents including Claude Code, Cursor, and Codex, and learns from past fixes to prevent repeated mistakes.

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npx skills add lee-to/ai-factory --all -g -y

Available:

Tells the AI agent how the AI Factory skill system is structured, where plans and artifacts live, and which command owns each file so it executes workflows without conflicts.

All Skills in This Repository (50)

Pure Emerald Level Indicators

📦 In Repo

lee-to

ai-factory.commit

Generate conventional commit messages from staged Git changes.

ai-factory

Configure Claude Code context, install skills, and enable MCP servers.

ai-factory.security-checklist

Run bash-based security audits for secrets, dependencies, and configuration gaps.

ai-factory.deploy

Run pre-flight checks and generate release notes for guarded deployments.

ai-factory.evolve

Analyze patches and project context to evolve installed AI Factory skills.

ai-factory.architecture

Guide architecture decisions for software projects using named patterns and decision criteria.

ai-factory.review

Analyze staged changes and PR diffs for bugs, security, and maintainability issues.

ai-factory.fix

Diagnose and fix software bugs with a logged, patch-based workflow.

ai-factory.task

Generate structured implementation plans with task dependencies and logging requirements.

ai-factory.implement

Execute plan tasks with state updates and progress persistence.

ai-factory.feature

Create feature branches and generate plans within a Git workflow.

ai-factory.improve

Analyze active AI Factory plans against the codebase to surface gaps and dependency corrections.

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Advanced

Frequently Asked Questions

FAQPage Schema

How to install AI Factory?▼

Run `npx skills add lee-to/ai-factory --all -g -y` in your terminal to install all skills globally. For the full CLI with MCP auto-configuration, use `npm install -g ai-factory` and then run `ai-factory init`.

What does AI Factory do?▼

It gives your AI agent a complete spec-driven workflow: plan a feature, implement it task by task, review the code, run QA, and commit with conventional messages. All progress is saved to disk so work survives context loss.

Which AI agents work with AI Factory?▼

It supports 16 agents including Claude Code, Cursor, Windsurf, Codex CLI, GitHub Copilot, Gemini CLI, and OpenCode. Skills follow the universal SKILL.md standard.

How does AI Factory prevent AI coding mistakes?▼

Every bug fix creates a patch record, and the /aif-evolve skill turns recurring mistakes into project-specific rules. Verification, review, and security gates check the code before you commit.

Can I use AI Factory without DevOps experience?▼

Yes. Skills like /aif-ci, /aif-dockerize, and /aif-build-automation generate pipelines, Docker setups, and Makefiles by analyzing your project automatically.