learning & documentation向けのClaudeスキルを発見してください。97個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements a Test-Driven Development approach to creating, verifying, and optimizing Claude Code skills for maximum reliability.
Translates user intent into domain-specific, verifiable technical requirements and architectural specifications across diverse software fields.
Automates project changelog management by tracking code updates, requirement revisions, and architectural design decisions through git analysis.
Provides a structural template and guide for building new Claude Code skills.
Leverages the Gemini CLI to perform web searches and retrieve real-time information for current events, technical queries, and general research.
Captures and organizes architectural decisions, edge cases, and technical discoveries into a structured knowledge base during coding sessions.
Generates professional, best-practice GitHub README files with integrated project metrics, technology badges, and structured documentation sections.
Analyzes a directory to automatically generate structured rule files for Claude's domain memory.
Generates structured, dependency-aware chapter outlines for educational textbooks by analyzing learning graphs and concept taxonomies.
Automates the setup and configuration of intelligent textbook infrastructure, including documentation templates, interactive visualizations, and usage tracking systems.
Standardizes course descriptions for intelligent textbooks by validating completeness and alignment with Bloom's Taxonomy to facilitate learning graph generation.
Establishes standardized guidelines and best practices for creating and maintaining specialized skill documentation for coding agents.
Transforms textbook chapter outlines into comprehensive educational material with tailored reading levels and rich interactive elements like diagrams and simulations.
Generates comprehensive visualization and status reports for interactive diagrams and MicroSims within intelligent textbook projects.
Generates verified, level-appropriate academic reference lists for educational textbooks and course materials.
Generates comprehensive, Bloom's Taxonomy-aligned FAQs and chatbot-ready JSON data from course materials and learning graphs.
Generates comprehensive quantitative analysis and status reports for intelligent textbooks built with MkDocs Material.
Generates interactive multiple-choice assessments for educational content using Bloom's Taxonomy and concept mapping.
Generates comprehensive, ISO 11179-compliant glossaries from learning graph concept lists for intelligent textbooks and documentation.
Generates interactive, educational Venn diagram visualizations using the venn.js library for integration into digital textbooks and documentation.
Generates standardized Claude Code SKILL.md files and directory structures following Anthropic's official best practices.
Provides comprehensive architectural guidance for designing scalable, resilient, and well-defined software systems.
Provides comprehensive reference documentation for terminal development, including TTY/PTY, signal handling, and ANSI escape sequences.
Generates comprehensive system architecture documentation and visual Mermaid diagrams through automated codebase analysis.
References comprehensive FilamentPHP v4 documentation to ensure accurate component implementation and architectural patterns.
Automates the creation of high-quality technical articles with real-world research, runnable code examples, and custom author voice matching.
Generates comprehensive environment setup and installation guides by automatically analyzing your project's codebase and configuration files.
Extracts domain knowledge, business logic, and entity relationships from codebases to generate comprehensive documentation.
Generates complete, verified, and executable code projects and documentation templates for technical articles.
Automates the creation and management of high-quality Architecture Decision Records (ADRs) using the MADR format.
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