learning & documentation向けのClaudeスキルを発見してください。88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。
Automates the generation of standardized technical documentation for Treasure Data pipeline layers using codebase-driven insights.
Generates, maintains, and structures comprehensive technical and user documentation using industry-standard templates and coordination protocols.
Accesses AI-generated documentation and architecture insights for public GitHub repositories.
Provides a standardized framework and boilerplate for creating domain-specific Claude Code skills within the Treasure Data ecosystem.
Manages and organizes Claude Code's multi-level memory system to optimize AI context and project-specific instructions.
Generates clear, action-oriented user documentation and in-app guidance using standardized templates and best practices.
Writes and optimizes clear, token-efficient instructions for all Claude Code components, including skills, commands, and documentation.
Generates and updates CHANGELOG.md files by analyzing git commit history based on conventional commit standards.
Retrieves documents from the Fractary codex knowledge base using a high-performance, cache-first retrieval strategy.
Analyzes the historical evolution of code and architectural decisions to prevent redundant failures and rediscover effective past solutions.
Embeds semantic search capabilities into custom MCP servers to provide AI agents with direct access to bundled documentation.
Generates exhaustive, research-grade technical documentation and study papers for completed coding projects in Microsoft Word format.
Systematically identifies and prioritizes research gaps from literature reviews to justify new studies and direct future research.
Generates detailed research pre-registration documents to ensure study transparency and prevent questionable practices like HARKing.
Retrieves comprehensive API documentation and code examples for libraries and frameworks directly within the Claude Code environment.
Retrieves high-quality code snippets, implementation patterns, and technical documentation using Exa AI neural search.
Searches and analyzes technical documentation using the llms.txt standard, GitHub repository processing, and parallel agent exploration to provide up-to-date framework insights.
Discovers and analyzes technical documentation using AI-optimized standards, repository analysis, and parallel agent exploration.
Generates professional-grade technical documentation, including project READMEs, API references, and deployment guides.
Guides the creation of effective Claude Code skills using Test-Driven Development (TDD) and research-backed persuasion techniques.
Fetches and processes external documentation from web URLs with built-in safety checks and metadata extraction.
Guides development within the @lsst-sqre/squared component library, detailing its unique no-build-step architecture, CSS Modules styling, and testing infrastructure.
Generates comprehensive, data-driven documentation for complex identity resolution workflows and ID unification layers.
Provides expert-level guidance for building, optimizing, and troubleshooting .NET applications using the Blazor framework for interactive web UIs.
Designs system architectures, analyzes codebases, and generates comprehensive technical planning documentation to guide engineering decisions.
Provides expert guidance for creating effective, discoverable, and efficient Claude skills based on Anthropic best practices.
Troubleshoots and resolves host-specific bugs for JUCE plugins across major DAWs and formats like AU, VST3, and AAX.
Routes and categorizes session-specific insights to the correct Claude Code memory locations to enhance long-term AI project context.
Implements professional JUCE development standards for realtime safety, audio threading, and modern C++ architecture.
Provides a structured framework for investigating architectural patterns and codebase best practices before implementation.
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