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。
Develops comprehensive academic search strategies and evidence synthesis frameworks using the 5-phase VS-Research methodology.
Architects sophisticated theoretical frameworks and conceptual models for academic research using a 5-phase differentiation process.
Manages long-term research context and decision history through automated checkpoints and multi-layer persistence.
Conducts deep web research to synthesize technical best practices and expert opinions with verified citations and authority assessment.
Guides researchers in establishing and justifying the philosophical foundations of their studies, ensuring alignment between ontology, epistemology, and methodology.
Transforms vague research ideas into differentiated, high-impact research questions using structured academic frameworks and typicality analysis.
Accesses and searches the official @xyflow/react documentation to help you build interactive node-based UIs and flow editors.
Generates standardized AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational commands.
Generates standardized AGENTS.md or CLAUDE.md files to help AI coding agents understand your repository's purpose, audience, and commands.
Implements a systematic trial-and-error search pattern to solve complex constraint satisfaction and combinatorial problems by pruning invalid solution paths.
Automatically generates comprehensive codebase documentation and AI memory by analyzing project structure, patterns, and architectural decisions.
Initializes a persistent knowledge management system to track architectural decisions, patterns, and errors within your project.
Standardizes Markdown formatting and documentation structure to ensure consistent, readable, and lint-compliant content.
Accesses comprehensive documentation and troubleshooting guides for the Quoth AI Memory plugin within Claude Code.
Fetches real-time LangGraph Python documentation to provide accurate, up-to-date implementation guidance and troubleshooting.
Standardizes project documentation through automated README structures, Architecture Decision Records (ADRs), and Keep a Changelog formatting.
Researches GitHub issues, pull requests, and discussions to extract proven solutions and community-vetted patterns.
Generates structured, pedagogical educational notes and study materials using the Bloom's Taxonomy cognitive framework.
Validates and repairs Mermaid syntax errors automatically using mermaid-cli to ensure flawless diagram rendering in documentation.
Standardizes the creation and maintenance of human-readable changelogs following professional software documentation best practices.
Synchronizes project documentation with code changes to ensure accuracy, consistency, and minimal maintenance churn.
Synchronizes incremental delta specification changes into main project documentation using intelligent merging logic.
Standardizes the creation of effective agent skills following the open agent-skills specification.
Optimizes React and Next.js applications by implementing best practices for rendering speed, bundle size, and server-side efficiency.
Implements the Diátaxis framework to structure and write high-quality technical documentation across four distinct quadrants.
Synchronizes project documentation with codebase changes to maintain accurate READMEs, API specs, and technical guides.
Analyzes your codebase to automatically generate specialized Claude skills that capture project-specific architecture, conventions, and workflows.
Researches and retrieves official library documentation and best practices using the Context7 MCP toolset.
Researches technical best practices, tutorials, and expert opinions using optimized search queries and authority-based source filtering.
Integrates official OpenAI developer documentation to provide authoritative, up-to-date guidance on APIs, SDKs, and model capabilities.
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