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。
Converts academic papers into interactive websites, professional presentation videos, and print-ready conference posters.
Evaluates scientific manuscripts and grant proposals through a systematic assessment of methodology, statistics, and reproducibility.
Integrates with the protocols.io API to programmatically manage, share, and discover scientific protocols and laboratory workflows.
Drafts and refines competitive research proposals for major federal agencies like NSF, NIH, DOE, and DARPA with agency-specific formatting and compliance.
Captures and retrieves durable project-specific knowledge to prevent context loss and build institutional memory within Claude Code.
Guides the creation of high-quality programming tutorials and educational content using established pedagogical principles and code-first learning strategies.
Generates formatted bibliographies, methodology reports, and development timelines from tracked Claude activity and sources.
Guides users through their first complete OpenSpec development cycle using real-world tasks within their own codebase.
Facilitates Socratic learning and academic problem-solving through structured guidance and conceptual breakdown.
Creates professional developer education presentations and video slides using the Slidev framework.
Guides developers through the AI-Driven Development Lifecycle (AI-DLC) methodology and plugin ecosystem for AI-native software engineering.
Architects comprehensive systems programming curricula focusing on low-level memory management, performance optimization, and safety across C, C++, Rust, and Zig.
Audits Anthropic Cookbook notebooks using automated validation and a standardized rubric to ensure high-quality technical content.
Generates professional Mermaid diagrams directly from structured Product Requirement Document (PRD) sections.
Automatically logs research sources and development prompts to project-level documentation files for improved session handoffs.
Refines Product Requirements Documents iteratively by identifying gaps, resolving ambiguities, and enforcing quality standards through interactive section-by-section editing.
Provides comprehensive documentation and guidance for the hooks-based automatic tracking system within the Track plugin.
Standardizes the creation and maintenance of technical documentation to ensure consistency across user guides, architecture logs, and inline code comments.
Generates high-quality, discoverable software documentation using the Diataxis framework and systematic best practices.
Standardizes the creation of AGENTS.md files to provide explicit, machine-readable instructions for AI coding agents.
Architects optimized Claude Code plugins using standardized patterns, token-efficient structures, and multi-agent orchestration best practices.
Analyzes and refines markdown documentation to improve structure, readability, and file size through automated patterns.
Toggles an interactive English language learning mode to receive linguistic guidance within the Claude environment.
Maintains project-specific CLAUDE.md files by intelligently capturing architectural patterns, commands, and session learnings.
Validates HAP character images for emotional context, Cloudinary URL accuracy, and web performance standards in educational content.
Navigates and explores Meldoc documentation using advanced search, tree visualization, and link relationship mapping.
Maintains and synchronizes project documentation with code changes to ensure architectural and API records remain accurate.
Identifies over 24 writing patterns that diminish scholarly quality and detects AI-generated linguistic markers in academic drafts.
Provides a standardized L1-L5 pedagogical framework for structuring AI-native robotics education and content.
Guides the implementation of modern TypeScript patterns and provides expert assistance for migrating Node.js applications to Deno using Web Standard APIs.
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