learning & documentation向けのClaudeスキルを発見してください。88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。
Creates specialized Bible study tools that generate AI-readable commentary data through an interactive, step-by-step definition process.
Applies Test-Driven Development principles to the creation and refinement of process documentation to ensure reliable AI compliance.
Provides a standardized template and boilerplate for building new Claude Code Skills to ensure consistent documentation and implementation patterns.
Generates developer-focused technical presentations using Slidev with markdown-based syntax and evidence-based design guardrails.
Demonstrates the Skills-as-Containers architecture for building modular, task-specific capabilities with natural language routing.
Generates comprehensive, standardized skill documents for defining specialized autonomous capabilities within Claude Code environments.
Generates educational ROS 2 Humble service server and client code following official request/response patterns for robotic communication.
Transforms session learnings, corrections, and newly identified patterns into permanent organizational knowledge by automatically updating Reusable Intelligence Infrastructure (RII) components.
Provides a standardized framework for developing and documenting new specialized capabilities within agentic AI environments.
Retrieves and displays specific Bible verses across over 1,000 translations and hundreds of languages using standardized reference formats.
Guides the creation and refinement of Claude Code skills using prompt engineering principles and structured documentation patterns.
Develops acute intuition for identifying and creating high-impact research by analyzing patterns in landmark papers and avoiding incremental pitfalls.
Simulates a skeptical academic reviewer to identify weaknesses and overclaims in research papers before submission.
Provides high-speed, cost-effective access to codebase documentation, agent definitions, and deployment procedures while significantly reducing token consumption.
Refines and organizes evolving technical specifications to eliminate redundancies and improve architectural clarity within SDD workflows.
Provides a reference implementation for YAML best practices and standardized skill structures.
Drafts and refines RFC 2119-compliant documentation by applying standardized keywords, structuring normative content, and validating requirement criticality.
Ingests project-specific rules and guidelines from the .constitution directory to ensure development tasks align with established project standards.
Establishes a standardized framework for documenting specialized AI capabilities and domain-specific development standards.
Manages Architecture Decision Records (ADRs) to document and track significant technology choices and design decisions over time.
Retrieves and filters Haskell package documentation, including functions, types, and type classes directly from Hackage.
Generates professional, script-based D2 diagrams for system architectures, network topologies, and data flows using validated syntax and icons.
Evaluates educational materials and training programs against learning outcomes to identify content gaps and provide actionable improvement recommendations.
Generates professional technical documentation, API references, and user guides for diverse technical and business audiences.
Validates and automatically fixes Markdown files to ensure high documentation standards and consistency using industry-standard tooling.
Manages, scrapes, and indexes official Claude documentation for high-performance, token-efficient discovery and offline access.
Streamlines the creation and maintenance of specialized capabilities by identifying repeatable patterns and codifying them into standardized, prescriptive runbooks.
Analyzes, clarifies, and improves requirement documents by bridging the gap between existing code and project specifications.
Systematically identifies knowledge gaps and evaluates source credibility for course content using the CRAAP framework.
Manages batch operations on multiple documentation files using pattern matching and parallel execution.
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