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Frequently AskedQuestions

Quick answers to common questions. Can't find yours? Open a GitHub issue.

Getting Started
What is CodyMaster Kit? +

CodyMaster is a collection of 33+ AI skills that turn your coding AI (Gemini, Claude, Cursor, etc.) into a disciplined software engineering team. Instead of AI guessing randomly, skills enforce proven workflows: plan before code, test before deploy, verify before claim.

How do I install it? +

Copy theskills/folder into your project root. That's it — no npm install, no build step, no dependencies. Your AI agent automatically detects and uses the skills. See theGet Started page for platform-specific setup.

Which AI platforms are supported? +

CodyMaster works with any AI that reads markdown files from your project: Google Gemini (Antigravity), Claude (OpenClaw/Projects), Cursor Agent, and GitHub Copilot Workspace. Skills are plain markdown — no proprietary format.

What should I do first after installing? +

Say /cm-start and describe your objective. The AI will read the skill index and automatically chain the right skills together. For new projects, it starts with cm-identity-guardcm-project-bootstrapcm-planning. Check the Playbook for all workflows.

How do I update to a new version? +

Pull the latest from the GitHub repo and replace your skills/ folder. Since skills are just markdown files, there are no dependency conflicts or breaking changes. Your project settings and CONTINUITY.md are preserved.

Skills
How do skills talk to each other? +

Skills don't directly communicate. Instead, cm-skill-chain composes them into pipelines, and cm-continuity maintains context between sessions via a shared CONTINUITY.md file. The AI reads this file to know what happened before and what to do next.

Can I create my own skills? +

Yes! Use skill-creator-ultra to turn any repeating process into a skill. It interviews you, detects patterns, and generates a production-quality SKILL.md file. You can also create them manually — just follow the markdown format in any existing skill.

What if my AI ignores a skill? +

Mention the skill directly: @cm-tdd or /cm-tdd. Skills use trigger keywords — so even saying "write tests first" activates cm-tdd. If the AI still skips, break the task into smaller steps and explicitly reference each skill.

In what order should skills be used? +

The typical flow is: IdentityAnalysisPlanningImplementationQualityDeploy. But not all tasks need all phases. Bug fixes skip analysis. Translations only need cm-safe-i18n. See the Playbook for exact chains per scenario.

What's the difference between /cm-start and calling skills manually? +

/cm-start is the autonomous mode — AI auto-detects which skills to use based on your objective. Manual calling (e.g., /cm-debugging) gives you explicit control. Both work. New users should start with /cm-start; power users prefer manual control.

33 skills feels overwhelming. Where do I start? +

You don't need to learn them all. Start with just 3: cm-start (auto-mode), cm-planning (think before code), and cm-continuity (memory). The AI loads others automatically via the progressive disclosure system — it only reads a full skill when it's needed.

Technical
Does it work with my existing codebase? +

Yes. Drop the skills/ folder into any existing project. CodyMaster is language-agnostic — it works with JavaScript, Python, Go, Rust, or any stack. Skills guide the AI's workflow, not the language or framework.

Does it slow down AI or use more tokens? +

Minimal. The 3-layer progressive disclosure system means most skills load only ~100 tokens (the skill index). Full skill content (~300-2000 tokens) is loaded only when triggered. You'll actually save tokens because the AI makes fewer mistakes and retry loops.

Does it work offline? +

The skills themselves are local markdown files — always available offline. But you still need internet for the AI model (Gemini, Claude, etc.) since the models run in the cloud. Some features like cm-ads-tracker also need network access for API integrations.

How does it integrate with Git? +

cm-identity-guard verifies your Git identity before every push. cm-git-worktrees creates isolated branches for feature work. cm-secret-shield adds pre-commit hooks to block secret leaks. cm-code-review handles the review and merge lifecycle.

Will it conflict with my existing tools? +

No. CodyMaster doesn't install packages, modify configs, or add runtime dependencies. It's a folder of markdown files that guide your AI's behavior. It works alongside ESLint, Prettier, Husky, or any other tools you already use.

Pricing & License
Is CodyMaster free? +

Yes, CodyMaster is free and open source. All 33+ skills, the full documentation, and future updates are free forever. We believe in making AI-assisted development accessible to everyone.

Can I use it for commercial projects? +

Absolutely. Use it for personal, commercial, or enterprise projects. There are no restrictions on commercial use. Many teams already use CodyMaster in production.

Can I fork or customize it? +

Yes! Fork it, modify skills, create your own, or contribute back. The best improvements come from real-world usage. We actively merge community contributions. PRs are welcome at GitHub.

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