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。
Generates standardized Convention Skill markdown files from user guidelines and coding regulations to streamline AI behavior.
Provides a standardized template and documentation framework for building and submitting Claude Code skills to the marketplace.
Converts quiz markdown files into professional study formats including Anki cards, Flashcard Hero files, and interactive HTML quiz pages.
Generates high-quality technical documentation including READMEs, API references, tutorials, and architecture decision records.
Generates comprehensive, structured lesson plans and curriculum materials tailored for educational environments.
Suggests documenting significant architectural changes as ADRs to capture technical context and long-term reasoning.
Automates the creation of comprehensive, categorized FAQs for educational content by analyzing course materials and learning structures.
Demonstrates auto-activation and guided workflow capabilities within Claude Code using context-aware trigger phrases.
Transforms passive learning content into actionable, iteration-based implementation plans to move from theory to practice.
Provides structured planning, evidence analysis, and professional citation management for systematic genealogy and family history projects.
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.
Connects Claude Code to Google NotebookLM for source-grounded, citation-backed answers from your personal document library.
Analyzes long-form content using structured thinking frameworks to extract deep insights and actionable takeaways.
Provides a standardized reference and boilerplate for creating high-quality Claude Code plugin skills.
Centralizes and organizes project documentation, patterns, and assets within a standardized global or project-specific knowledge base.
Optimizes code readability by prioritizing self-documenting structure and minimal, high-impact comments for complex logic.
Generates comprehensive Architecture Decision Records (ADRs) to document technical choices, evaluate tradeoffs, and guide software development workflows.
Enforces project-specific documentation structures and standards while optimizing context usage through section-level interaction.
Greets users and provides foundational project exploration capabilities through file reading and command execution.
Identifies and captures exceptional human-AI collaboration breakthroughs to share organizational knowledge and foster an agentic mindset.
Guides the creation of standardized, reusable instructions to automate domain-specific workflows and capture recurring technical patterns.
Standardizes the creation of specialized Claude Code skill documents using structured YAML frontmatter, instructions, and reference templates.
Provides standardized assessment, evaluation, and feedback guidance for Open-ICT students based on the LEF and HBO-i frameworks.
Provides a standardized blueprint and boilerplate structure for developing and documenting new specialized Claude Code skills.
Standardizes project documentation by providing structured templates for CLAUDE.md files across root, module, and submodule levels.
Converts highlighted text into collapsible HTML components to improve content organization and readability in MDX files.
Documents significant technical decisions and architectural choices to maintain institutional memory and project alignment.
Manages persistent technical notes, architectural decisions, and deferred tasks across development sessions using the nb command-line system.
Extracts and persists session-based insights, user preferences, and project patterns to enhance Claude's future performance and documentation.
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