发现learning & documentation类别的 Claude 技能。浏览 86 个技能,找到适合您 AI 工作流程的完美功能。
Provides comprehensive architectural analysis and deep-dive explanations of complex codebases using expert AI agents and structural search.
Standardizes the creation of robust AI skills through a Test-Driven Development approach to ensure agent compliance.
Conducts systematic, multi-source internet research to gather deep insights and cross-verified information on any topic.
Generates professional documentation including JSDoc, README files, and API references by analyzing code implementation.
Generates professional-grade inline documentation, API specifications, and comprehensive developer documentation sites.
Applies Test-Driven Development principles to create, test, and refine high-performance documentation and skills for Claude.
Generates comprehensive architecture and feature documentation based on Miyabi's 14-entity and 39-relationship model.
Generates structured technical documentation and Mermaid diagrams based on the Miyabi Entity-Relation model to map system components and workflows.
Generates Yukkuri-style audio reports and YouTube content from Git commit history using the VOICEVOX Engine.
Extracts comprehensive specifications and documentation from existing codebases through systematic reverse-engineering.
Standardizes architectural decision-making by generating comprehensive ADRs using the MADR template with AI-specific extensions.
Generates structured, audience-tailored explanations for complex codebases, system architectures, and technical concepts.
Integrates local document knowledge bases into Claude Code using semantic search and hybrid retrieval for context-aware development assistance.
Transforms YouTube videos into structured Markdown files featuring AI-generated summaries, cleaned transcripts, and synthesized comment insights.
Translates high-level architectural decisions into detailed, implementable low-level design specifications using modular templates and project guardrails.
Generates comprehensive high-level technical design documentation based on PRDs and API contracts to bridge requirements and implementation.
Maintains and expands project-specific terminology documentation with cross-references and source code links.
Generates interactive reading lessons, phonics games, and visual playgrounds to teach children ages 1-10 literacy skills.
Enhances English vocabulary learning for developers by recording prompts and clarifying ambiguous language during coding sessions.
Converts YouTube videos into structured, cleaned, and summarized Markdown documents including transcripts and metadata.
Guides developers through the internal architecture, codebase structure, and implementation details of the Local Skills MCP server.
Crafts engaging, age-appropriate children's stories and educational content featuring perfect rhythm, character development, and meaningful life lessons.
Captures and categorizes project-specific patterns, rules, and preferences to build a persistent memory for AI agents.
Extracts and documents an engineer's coding patterns, style preferences, and architectural decisions from their GitHub contributions to create a structured knowledge base.
Transforms passive learning content into actionable, iterative implementation plans using the Ship-Learn-Next framework.
Removes outdated or incorrect learnings from the Shinchan agent team's project knowledge base.
Navigates hierarchical architectural documentation and correlates it with source code to provide comprehensive project understanding.
Drafts, maintains, and audits high-quality developer documentation including API references, READMEs, and system runbooks.
Automates the generation of standardized README documentation and quality validation for Claude Code skills.
Provides a comprehensive collection of proven prompting frameworks, pattern analysis, and model-specific optimizations to enhance LLM interactions.
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