Standardize AI-generated projects with skills, templates, and quality gates. Supports 28 languages, 17 frameworks, 12 MCP modules, and 20 services.
Git workflow standards including branching strategy, commit conventions, and PR guidelines. Use when creating branches, writing commit messages, preparing pull requests, or following git best practices.
MCP server integration for programmatic task and skill management. Use when managing tasks via MCP protocol, enabling/disabling skills programmatically, or integrating Rulebook with AI assistants through Model Context Protocol.
Automated quality checks and enforcement for code commits. Use when validating code quality, running pre-commit checks, ensuring test coverage, or enforcing coding standards before commits and pushes.
Spec-driven task management for features and breaking changes using OpenSpec format. Use when creating new features, planning breaking changes, organizing development work, or managing project tasks with proposals and specifications.
TypeScript development with strict mode, Vitest testing, ESLint linting, and CI/CD best practices. Use when working on TypeScript projects, writing tests, configuring linting, or setting up build pipelines.