learning & documentation向けのClaudeスキルを発見してください。86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。
Generates evidence-based feedback templates for Canvas LMS assignments using the Four Learning Design Pillars framework.
Generates structured, blameless root cause analysis documentation to facilitate team learning and prevent incident recurrence.
Analyzes Git history to retrieve implementation patterns, story context, and historical coding decisions through targeted version control queries.
Analyzes your recent coding interactions to identify technical patterns, skill gaps, and personalized growth opportunities.
Facilitates high-quality content creation through collaborative outlining, real-time research, citation management, and section-by-section feedback.
Provides a standardized reference and boilerplate for creating high-quality Claude Code plugin skills.
Identifies architectural domains and mandatory coding patterns within a codebase to ensure structural consistency.
Adapts educational content for specific cultural contexts by localizing examples, identifying sensitivities, and recommending appropriate teaching methods.
Transforms educational content into engaging, immersive learning experiences through journey mapping and emotional design.
Provides structured lesson content and tutorials for mastering development within the Claude Code ecosystem.
Teaches fundamental Git and GitHub concepts, workflows, and command-line operations to build proficiency in version control.
Organizes and structures command-line interface help documentation into intuitive complexity levels for easier tool mastery and reference.
Generates professional, branded certificates with integrated completion validation and academic transcripts.
Teaches new users the core concepts, commands, and project configuration patterns for the Claude Code CLI.
Assesses developer proficiency and routes users to personalized Claude Code training levels based on their current expertise.
Optimizes and structures Markdown documentation to maximize information density and parsing efficiency for Large Language Models.
Manages Architecture Decision Records (ADR) with automated numbering, status tracking, and superseding workflows to maintain technical rationale.
Generates professional API documentation, README files, and inline code comments tailored to specific programming language standards.
Automates the discovery and analysis of technical documentation using the llms.txt standard, GitHub repository packing, and parallel search agents.
Standardizes the development of high-quality Claude Code skills through structured templates and optimization best practices.
Applies Test-Driven Development (TDD) principles to the creation and optimization of Claude Code skills through pressure-testing and subagent verification.
Searches and embeds YouTube videos directly within the Claude interface using the privacy-focused Invidious API.
Discovers and analyzes project specifications, active changes, and system requirements to provide deep context for development tasks.
Automates the conversion of Markdown documents into professional PDF, DOCX, and HTML formats using Pandoc.
Validates digital content against international accessibility standards and regional regulations to ensure worldwide inclusivity and compliance.
Provides reliable, local access to Claude Code documentation when network connectivity or proxy issues prevent online access.
Provides comprehensive development guidelines, architectural patterns, and structural references for building Claude Code plugins.
Generates structured technical training exercises and hands-on lab materials based on textbook content.
Fetches real-time documentation and code examples from GitHub repositories and open-source libraries to ensure up-to-date AI responses.
Guides the creation of high-performance system prompts using Anthropic's context engineering principles and structured formatting.
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