chujianyun/skills

What it solves

This repository provides a comprehensive "capability map" of reusable Agent Skills designed for practical workflows. It solves the problem of fragmented AI capabilities by organizing specific, task-oriented skill units that can be integrated into AI agents to handle everything from technical documentation retrieval and prompt optimization to career coaching and system operations.

How it works

Skills are organized into a three-level directory structure (skills/<category>/<skill-name>/) across eight primary categories. Each skill is designed as a reusable unit that follows specific design principles: descriptions act as trigger rules for models, and complex logic is offloaded to scripts or assets. The project supports multiple installation methods, including integration as a Claude Code plugin marketplace, using a dedicated skill installer agent, or via the openskills tool.

Who it’s for

• AI Agent Developers: Those looking for pre-built, validated skill modules to enhance their agents' capabilities.
• Power Users: Individuals wanting to automate workflows like paper interpretation, code analysis, or system troubleshooting.
• Professionals: Users seeking AI-driven career evaluation (P7/P8/P9 levels) or content refinement (removing "AI flavor" from text).

Highlights

• Diverse Skill Library: Covers knowledge retrieval (LlamaIndex, QianwenAI), prompt/agent optimization, career growth analysis, and visual generation (Mermaid).
• Workflow-Oriented: Includes specialized pipelines for interpreting GitHub repositories, arXiv papers, and processing PDFs.
• Operational Tooling: Provides runbooks and tool wrappers for system maintenance and troubleshooting (e.g., OpenClaw, CoPaw).
• Structured Quality Control: Uses a dedicated skill-optimizer and validation scripts to ensure trigger accuracy and workflow reliability.