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。
Optimizes project context files by applying progressive disclosure principles to structure CLAUDE.md and AGENTS.md efficiently.
Guides users through their first complete OpenSpec development cycle with interactive narration and real codebase tasks.
Reduces Claude's token usage by streamlining and deduplicating your project's CLAUDE.md file hierarchy.
Synchronizes delta requirement changes into main project specifications using intelligent, agent-driven merging.
Guides developers through a complete OpenSpec workflow cycle by performing real codebase improvements while explaining each developmental phase.
Provides comprehensive guidance, command documentation, and architectural rationale for the Craft-Coder pair programming plugin.
Retrieves architectural background and PRD documentation to guide detailed software design and implementation tasks.
Synchronizes project documentation, task lists, and architecture files with recent codebase changes to maintain an accurate project state.
Automates the creation and organization of structured background documentation for academic research and literature reviews.
Provides authoritative, real-time guidance and code snippets from official OpenAI developer documentation using specialized MCP tools.
Provides instant access to official Claude Code documentation for features, configuration, and extensibility directly within the agent environment.
Guides users through a structured, three-stage workflow to create high-quality technical documentation, proposals, and specifications.
Generates high-quality technical documentation including READMEs, API references, tutorials, and architecture decision records.
Navigates and extracts media automation configurations from the TRaSH Guides repository for Radarr and Sonarr.
Implements and validates Experience API (xAPI) standards for tracking educational assessments and learning analytics.
Standardizes the creation of Claude Code skills using a Test-Driven Development (TDD) approach to ensure AI compliance and documentation accuracy.
Enforces factual accuracy in AI outputs by requiring tool-based verification and prohibiting unsubstantiated claims or metrics.
Analyzes and structures AI prompts to generate valid xAPI statements for educational assessment tracking and learning analytics.
Provides a standardized blueprint and structural foundation for developing custom Claude Code skills.
Bridges Claude Code with Google NotebookLM to provide source-grounded, citation-backed answers directly from your private document collections.
Drills interview questions using AI personas and spaced repetition to provide data-driven feedback based on your professional accomplishments.
Guides developers through a complete OpenSpec workflow cycle by identifying and implementing real codebase improvements with interactive narration.
Captures and organizes solved technical problems into a searchable, YAML-validated knowledge base to preserve institutional intelligence.
Navigates and maps complex codebases by indexing modules to accelerate bug fixing and feature development.
Generates evidence-based research reports with primary source citations and structured strategic insights.
Streamlines the process of archiving multiple completed OpenSpec changes with intelligent conflict resolution and codebase verification.
Captures and organizes verified problem solutions into a searchable institutional knowledge base with structured YAML metadata.
Generates structured architectural summaries and identifies technical risks within source code to accelerate understanding.
Guides users through an interactive, five-lesson curriculum to master Claude Code via hands-on terminal exercises.
Transforms solved coding problems into structured, searchable documentation with validated YAML metadata automatically.
Scroll for more results...