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 and codifies non-obvious coding heuristics and project-specific principles from active conversations to improve future problem-solving.
Conducts systematic, comprehensive literature reviews across multiple academic databases with verified citations and publication-quality visual schematics.
Produces high-quality scientific manuscripts and research papers using the IMRAD structure, verified citations, and publication-ready schematics.
Manages scientific protocols and lab workflows through direct integration with the protocols.io API.
Transforms academic papers from LaTeX or PDF sources into interactive websites, presentation videos, and professional conference posters.
Searches and retrieves life sciences preprints from the bioRxiv server using keywords, authors, date ranges, and subject categories.
Manages academic research workflows by searching scholarly databases, extracting precise metadata, and generating standardized BibTeX entries.
Provides comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific journals, conferences, and grant proposals.
Provides comprehensive technical documentation and implementation patterns for the Hindsight biomimetic AI memory system.
Generates comprehensive hierarchical documentation structures and tailored onboarding guides by analyzing code repositories.
Generates spec-compliant llms.txt and llms-full.txt files to make project documentation easily consumable by language models.
Generates four stakeholder-specific onboarding guides for codebases, including technical, architectural, executive, and product-focused documentation.
Generates structured, categorized changelogs from git history with automatic source repository resolution and linked citations.
Conducts multi-turn, iterative deep research into codebases to uncover complex architectural patterns and data flows with evidence-backed analysis.
Generates structured AGENTS.md and CLAUDE.md files to provide AI coding agents with essential project context, build commands, and operational boundaries.
Standardizes the creation and documentation of specialized AI agent capabilities for Azure and Microsoft Foundry services.
Explains codebase logic and architecture by analyzing source files with precise inline citations and visual diagrams.
Transforms Markdown wiki files into a professional, dark-themed VitePress static site featuring interactive Mermaid diagrams.
Generates comprehensive, evidence-based technical documentation with dark-mode Mermaid diagrams and direct code citations.
Generates and manages Architecture Decision Records to document significant technical choices and their historical context.
Generates a minimal working implementation of the Speak language learning SDK to jumpstart AI-powered tutoring integrations.
Implements immersive AI-powered language conversation practice with real-time pronunciation feedback and adaptive tutoring.
Generates a minimal, functional Juicebox AI integration to perform people searches and profile retrieval.
Executes major re-architecture and migration strategies for language learning platforms using the Speak SDK.
Guides developers through a complete OpenSpec development cycle from initial task selection to implementation and archival.
Conducts rigorous, multi-cycle academic investigations with APA citations and transparent methodology for exhaustive topic analysis.
Diagnoses and resolves common errors, exceptions, and integration issues within the Speak language learning SDK.
Automates the creation of comprehensive, well-structured Frequently Asked Questions sections for technical documentation and project READMEs.
Retrieves real-time, official Claude Code documentation via selective fetching to ensure accurate implementation of hooks, skills, and subagents.
Implements detailed pronunciation drills and phoneme-level speech analysis using the Speak SDK for language learning applications.
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