claude-skills

Claude Skills is the most comprehensive open-source collection of domain-specific instructions and CLI-based automation tools designed to extend the capabilities of AI coding agents. It provides a modular architecture that transforms generic AI assistants into specialized experts in engineering, DevOps, marketing, finance, and C-level strategic planning. By utilizing standardized SKILL.md instruction packages and zero-dependency Python tools, this repository ensures that AI models follow rigorous decision frameworks and standardized workflows across diverse platforms including Claude Code, OpenAI Codex, Gemini CLI, Cursor, Aider, Windsurf, Kilo Code, OpenCode, Augment, and Antigravity.

• Extensive library of 235+ modular skills and 305+ CLI scripts, all utilizing Python standard library only for maximum portability.

• Cross-platform compatibility layer that allows users to convert and install skills into native formats like .mdc rules for Cursor or CONVENTIONS.md for Aider.

• Specialized agent personas such as Startup CTO, Growth Marketer, and Solo Founder that integrate identity, memory, and task-specific workflows.

• Dedicated engineering skill sets covering security auditing, WCAG 2.2 accessibility scanning, technical SEO, and automated documentation synchronization.

• C-level advisory packages that facilitate executive decision-making, board governance, and organizational scaling frameworks.

• Built-in Git orchestration commands (/git:cm, /git:cp, /git:pr) and local quality gates (/review) for maintaining codebase integrity.

• The repository is designed for developers, technical founders, and DevOps engineers who require repeatable, domain-specific AI execution patterns.

• Installation is streamlined via per-tool scripts or universal conversion tools, supporting local environments, IDE-integrated agents, and CLI-based coding assistants.

• Users should note that scripts prioritize standard library dependencies; therefore, complex external integrations are avoided to ensure stability and reduce the attack surface during execution.

• Ideal for scaling internal AI operations where team-wide adherence to documentation standards, security checklists, and strategic frameworks is critical.

• The system supports flexible installation patterns, allowing users to deploy domain-specific subsets (e.g., product, marketing, engineering) based on specific project requirements.