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。
Generates professional, publication-quality scientific research posters using LaTeX frameworks like beamerposter, tikzposter, and baposter.
Generates professional, evidence-based medical treatment plans in LaTeX and PDF formats for diverse clinical specialties.
Conducts real-time academic research and literature reviews using Perplexity's Sonar reasoning models with automated citations.
Generates regulatory-compliant clinical reports and medical documentation with integrated scientific visualizations.
Automates the creation of hierarchical, AI-optimized documentation across your entire repository to improve agent reasoning.
Provides comprehensive guidance and documentation for the oh-my-claudecode multi-agent orchestration framework within Claude Code.
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.
Manages scientific protocols and lab workflows through direct integration with the protocols.io API.
Produces high-quality scientific manuscripts and research papers using the IMRAD structure, verified citations, and publication-ready schematics.
Manages academic research workflows by searching scholarly databases, extracting precise metadata, and generating standardized BibTeX entries.
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.
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.
Standardizes the creation and documentation of specialized AI agent capabilities for Azure and Microsoft Foundry services.
Generates comprehensive, evidence-based technical documentation with dark-mode Mermaid diagrams and direct code citations.
Generates comprehensive hierarchical documentation structures and tailored onboarding guides by analyzing code repositories.
Conducts multi-turn, iterative deep research into codebases to uncover complex architectural patterns and data flows with evidence-backed analysis.
Transforms Markdown wiki files into a professional, dark-themed VitePress static site featuring interactive Mermaid diagrams.
Generates spec-compliant llms.txt and llms-full.txt files to make project documentation easily consumable by language models.
Explains codebase logic and architecture by analyzing source files with precise inline citations and visual diagrams.
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.
Generates structured AGENTS.md and CLAUDE.md files to provide AI coding agents with essential project context, build commands, and operational boundaries.
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.
Executes major re-architecture and migration strategies for language learning platforms using the Speak SDK.
Generates a minimal, functional Juicebox AI integration to perform people searches and profile retrieval.
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