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claude-skills

A comprehensive library of 305+ modular instruction packages, Python CLI tools, and agent workflows designed to extend the capabilities of AI coding assistants like Claude Code, Cursor, Aider, and Gemini CLI.

Introduction

Claude Skills serves as a robust framework for augmenting AI coding agents with domain-specific expertise. It provides a standardized library of instructional packages (SKILL.md) and zero-dependency Python tools that enable agents to execute complex tasks ranging from engineering best practices and DevOps automation to C-level strategic advisory and marketing strategy. By transforming neutral coding agents into context-aware experts, this collection ensures that AI assistants follow structured decision frameworks, adhere to quality gates, and maintain consistent output quality across multiple platforms.

  • Extensive library of 235+ production-ready skills, 305+ CLI scripts, and domain-specific personas including Startup CTO, Growth Marketer, and Solo Founder.

  • Cross-platform compatibility supporting Claude Code, OpenAI Codex, Gemini CLI, Cursor, Aider, Windsurf, OpenClaw, Kilo Code, OpenCode, Augment, and Antigravity.

  • Integrated quality assurance workflows including automated security scans, YAML linting, accessibility (a11y) audits, and comprehensive git flow management.

  • Modular architecture where skills define instructions, workflows, and decision frameworks that guide the agent's reasoning process.

  • No-dependency Python toolset ensures stability and portability across diverse environments without the need for pip installations.

  • Use these skills to automate repetitive engineering tasks such as WCAG 2.2 accessibility scanning, technical debt assessment, and structured ADR (Architecture Decision Records) generation.

  • Enhance agent decision-making by applying persona-based configuration files to tailor communication style, core missions, and success metrics for specific projects.

  • Utilize the conversion scripts (scripts/convert.sh) to translate universal skills into target-specific formats like .mdc rules for Cursor or CONVENTIONS.md for Aider.

  • Ideal for software engineers, technical leads, and founders who require high-fidelity, reproducible outcomes from their AI coding assistants.

  • Constraints: While highly extensible, users should ensure their target agent supports the specific plugin/rule installation format. All Python tools operate within the standard library; they are designed for safe execution in sandboxed coding environments.

Repository Stats

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Python
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Apr 29, 2026, 05:29 AM
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