ai-skills-library
20 reusable AI skills for Claude Code covering engineering, career, thinking, and creative workflows.
Open source Open in the app JSON README (API)
About
20 reusable AI skills for Claude Code covering engineering, career, thinking, and creative workflows.
Details
- Kind
- Plugins
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- No topic detected
- Publisher
- bob798
- Origin
- marketplace
- Category
- ferramentas
- Stars
- 1
- Last push
- 2026-06-18T05:34:37Z
- Repository state
- ativo
- Language
- Shell
- Added
- 2026-08-30 01:48:58
- Updated
- 2026-08-30 01:48:58
- Origin id
bob798/ai-skills/ai-skills-library
README
# AI Skill Kit A curated collection of reusable, structured **AI skills** — each is a complete methodology + prompt + workflow that helps LLMs perform complex tasks more effectively. Not just prompt snippets. Each skill is a **battle-tested playbook** with clear structure, ready to plug into any LLM workflow. Designed for: - Claude / ChatGPT / Gemini / Open-source LLMs - AI Agents & Copilot-style assistants - Developers and knowledge workers > **[中文版 README](README_CN.md)** --- ## What Makes This Different | | Prompt Collections | AI Skill Kit | |--|--|--| | Structure | One-liner prompts | Methodology + framework + examples | | Reusability | Copy-paste | Modular, plug into any workflow | | Quality control | Community contributed | Each skill tested and iterated | | Scope | Generic tasks | Domain-specific deep skills | --- ## Skill Categories ``` ai-skill-kit/ ├── ai-engineering/ # RAG, Agent, Prompt, LLM debugging ├── career/ # Interview, resume, capability profiling ├── analysis/ # Decision making, product strategy, deep analysis ├── learning/ # Structured learning paths, topic analysis ├── creative/ # Writing, illustration, SVG generation ├── development/ # Testing, evaluation, debugging └── workflow/ # Automation, statistics, weekly review ``` --- ## Skill Index ### AI Engineering | Skill | Description | |------|------| | [rag-evaluator](ai-engineering/rag-evaluator) | Diagnose RAG pipeline issues across retrieval, generation, and consistency layers | | [prompt-optimizer](ai-engineering/prompt-optimizer) | Identify root causes of prompt failures and apply structured fixes | | [agent-designer](ai-engineering/agent-designer) | Design ReAct / Plan-Execute / Multi-Agent architectures with failure handling | | [llm-debugger](ai-engineering/llm-debugger) | Debug LLM apps in production: API errors, rate limits, token overflow, streaming | | [vector-db-guide](ai-engineering/vector-db-guide) | Vector DB selection and usage: Chroma, Milvus, pgvector, Qdrant compared | | [langchain-patterns](ai-engineering/langchain-patterns) | Core LangChain patterns: LCEL, RAG chain, memory, agents with real code | | [ai-solution-designer](ai-engineering/ai-solution-designer) | Design AI solutions with scenario evaluation, architecture, risk and ROI analysis | ### Career | Skill | Description | |------|------| | [mock-interview](career/mock-interview) | Generate high-value interview questions with answer frameworks based on resume + JD | | [job-seeker-resume-cn](career/job-seeker-resume-cn) | Chinese resume optimization for general job market with platform algorithm strategies | | [ai-job-transition-resume](career/ai-job-transition-resume) | Resume optimization for AI engineer / AI pre-sales roles | | [ai-engineer-interviewer](career/ai-engineer-interviewer) | Conduct technical interviews for AI engineering positions with role-specific evaluation | | [interview-sparring](career/interview-sparring) | Diagnostic interview practice with dynamic weak-point identification and coaching | | [capability-miner](career/capability-miner) | Extract structured capability profiles from project memory and Git history | ### Analysis | Skill | Description | |------|------| | [product-analysis](analysis/product-analysis) | Multi-dimensional product strategy analysis (user / solution / business / competition / risk) | | [decision-tree](analysis/decision-tree) | Structured decision making with explicit recommendations | | [deep-analysis](analysis/deep-analysis) | Multi-perspective Self-Debate: generate, critique, refine, loops until score >= 8 | ### Learning | Skill | Description | |------|------| | [learn-anything](learning/learn-anything) | Structured learning path for any technology or skill | | [atdf-analyzer](learning/atdf-analyzer) | Systematically analyze AI topics using 8-dimensional ATDF framework | ### Creative | Skill | Description | |------|------| | [article-illustrator](creative/article-illustrator) | SVG illustrations for articles and visual communication | | [article-writer](creative/article-writer) | Structured article generation from notes, outlines, or rough content | | [svg-generator](creative/svg-generator) | User-goal-first SVG generation workflow | | [svg-to-png](creative/svg-to-png) | Reliable SVG to PNG conversion with tool fallbacks | | [knowledge-viz](creative/knowledge-viz) | Knowledge Dynamization Engine — turn abstract concepts into interactive dark-themed HTML experiences | | [iceberg-knowledge-map](creative/iceberg-knowledge-map) | Render any knowledge domain as an interactive iceberg: linear main-line on the surface, layered deep-dives below, relation graph at the bottom | | [frontend-design](creative/frontend-design) | Distinctive, production-grade frontend interfaces that avoid generic AI aesthetics | ### Development | Skill | Description | |------|------| | [add-tests](development/add-tests) | Add unit tests to existing code, identify testable functions, and ensure all tests pass | | [test-audit](development/test-audit) | Full-dimension test audit (React/Next.js): Unit/API/Component/Security/Integration/E2E coverage analysis and auto-generation | | [ok-testaudit-nuxt](development/ok-testaudit-nuxt) | Test-coverage audit for Nuxt 3 + Vitest + Playwright frontends — gap analysis and missing-test generation aligned to real Nuxt conventions | | [ok-testaudit-server](development/ok-testaudit-server) | Test-coverage audit for Spring Boot + Spring AI backends — multi-tenant isolation & LLM tool-chain gaps, JUnit/Mockito/Testcontainers/WireMock | | [ok-itest](development/ok-itest) | Generate executable integration-test specs, skeletons, and PR reports for Spring Boot + Spring AI (WireMock + Testcontainers + tenant isolation) | | [eval-debug](development/eval-debug) | Analyze interview JSONL files for model quality and program logic debugging | | [rag-eval](development/rag-eval) | Analyze RAG experimental results, interpret metrics, and identify anomalies | ### Workflow | Skill | Description | |------|------| | [cc-stats](workflow/cc-stats) | Generate Claude Code usage statistics and productivity insights | | [claude-scheduler](workflow/claude-scheduler) | Schedule Claude Code tasks using macOS launchd for persistent background execution | | [retro](workflow/retro) | Analyze recent conversations to identify repeated operations for automation | | [weekly-output](workflow/weekly-output) | Synthesize weekly notes using BASB, Zettelkasten, T-shape, and GTD frameworks | | [weekly-report](workflow/weekly-report) | Single-page weekly status report PNG + Markdown for stakeholder reporting | --- ## Usage Each skill folder contains a `SKILL.md` with the complete prompt and methodology. To use a skill: 1. Open the `SKILL.md` file in the skill folder 2. Copy the prompt into your LLM conversation 3. Follow the structured workflow --- ## License MIT