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。
Extracts tacit engineering knowledge through guided interviews to generate structured, agent-readable steering documentation.
Analyzes and explains complex codebases by tracing call chains and mapping dependencies using the Codex CLI.
Generates comprehensive architecture and feature documentation based on Miyabi's 14-entity and 39-relationship model.
Generates Yukkuri-style audio reports and YouTube content from Git commit history using the VOICEVOX Engine.
Generates professional documentation including JSDoc, README files, and API references by analyzing code implementation.
Generates professional, code-based D2 diagrams for system architectures, workflows, and data models from textual descriptions.
Transforms documentation, codebases, and media into structured AI knowledge assets and Claude-compatible SKILL.md files.
Provides targeted context briefings by searching memory graphs, knowledge files, and research indexes to help you resume work quickly.
Generates deep, layered explanations of code files, directories, and architectural concepts for rapid codebase comprehension.
Automates the extraction, preservation, and synthesis of research materials from diverse digital sources into structured knowledge bases.
Automates the re-fetching and synchronization of live research sources to keep technical documentation and synthesis files up-to-date.
Writes and reviews persuasive Product Requirements Documents focused on user value and clear narrative structure.
Generates high-level architectural summaries and identifies potential technical risks within complex codebases.
Indexes a curated collection of applied category theory, MCP servers, and high-performance functional programming resources.
Provides a curated index of applied category theory, MCP servers, and advanced mathematical computing resources.
Accelerates technical mastery by providing structured tutoring, fast-track patterns, and just-in-time learning for new frameworks and languages.
Provides a comprehensive library of academic research and implementation patterns for colored operads, higher observational type theory, and Chicken Scheme.
Facilitates interdisciplinary synthesis and structural mapping between mathematics, music, and philosophy using category theory principles.
Provides a comprehensive research library and implementation patterns for Chicken Scheme, colored operads, and higher observational type theory.
Transforms vague product ideas into structured, implementation-ready technical specifications through a guided interviewing process.
Generates professional-grade inline documentation, API specifications, and comprehensive developer documentation sites.
Initializes comprehensive C3 architecture documentation for software projects using a structured, three-stage discovery workflow.
Implements and audits the Context-Container-Component (C3) architecture methodology to maintain structural integrity and synchronized system documentation.
Documents and plans software architecture through ADRs and component specifications without immediate code implementation.
Validates project constitutions through automated quality checklists, anti-pattern detection, and semantic versioning enforcement.
Validates documentation quality by checking for broken links, terminology inconsistencies, logical contradictions, and coverage gaps using Claude.
Extracts comprehensive specifications and documentation from existing codebases through systematic reverse-engineering.
Verifies and implements directed path induction for synthetic ∞-categories using the Yoneda lemma.
Optimizes file exploration and information retrieval in large Markdown codebases to reduce token usage by up to 90%.
Conducts systematic, multi-source investigations with rigorous source validation and structured reporting.
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