learning & documentation Claude 스킬을 발견하세요. 97개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Ingests project-specific rules and guidelines from the .constitution directory to ensure development tasks align with established project standards.
Drafts and refines RFC 2119-compliant documentation by applying standardized keywords, structuring normative content, and validating requirement criticality.
Generates comprehensive architecture, standards, and design pattern documentation by automatically analyzing existing codebases.
Generates comprehensive feature documentation including Storybook stories, JSDoc comments, and detailed feature guides for TypeScript and React projects.
Validates commands within markdown documentation using intelligent git-aware caching to ensure accuracy with zero token overhead.
Validates and optimizes command-line extraction patterns within project documentation for improved accuracy and performance.
Ensures technical documentation accuracy by verifying commands, analyzing coverage gaps, and improving content clarity.
Automates the design, optimization, and self-learning management of intelligent knowledge bases for documentation and command verification.
Analyzes existing codebases to generate comprehensive documentation for business logic, technical implementation, and system architecture.
Converts legacy reverse engineering documentation into standardized GitHub Spec Kit specifications for spec-driven development.
Generates comprehensive visual maps and statistics showing the relationship between project specifications and implementation files.
Generates structured Architecture Decision Records (ADRs) and operational Runbooks to maintain project history and system reliability.
Synchronizes AI-generated code insights and architectural decisions with persistent, human-readable Obsidian markdown vaults.
Provides a reference implementation for YAML best practices and standardized skill structures.
Creates specialized Bible study tools that generate AI-readable commentary data through an interactive, step-by-step definition process.
Retrieves and analyzes original Greek and Hebrew Bible text data, including morphological breakdowns, Strong's dictionary definitions, and semantic information.
Applies Test-Driven Development principles to the creation and maintenance of specialized Claude Code skills and process documentation.
Refines and organizes evolving technical specifications to eliminate redundancies and improve architectural clarity within SDD workflows.
Accelerates mastery of any subject by identifying high-impact material, building expert vocabulary, and generating research-backed learning roadmaps.
Provides a standardized boilerplate and documentation structure for developing new custom Claude Code skills.
Provides high-speed, cost-effective access to codebase documentation, agent definitions, and deployment procedures while significantly reducing token consumption.
Provides a comprehensive guide to Wasp framework features, commands, and skills to streamline full-stack SaaS development.
Architects and organizes comprehensive documentation structures for software projects ranging from simple libraries to complex monorepos.
Explores and analyzes unfamiliar codebases to map structures, trace dependencies, and explain implementation details.
Generates comprehensive, professional-grade technical documentation including API references, READMEs, and language-specific docstrings.
Evaluates codebase documentation for coverage, quality, and completeness while identifying critical gaps and generating health reports.
Researches and recommends industry-standard software engineering patterns and best practices tailored to your project context.
Simulates a skeptical academic reviewer to identify weaknesses and overclaims in research papers before submission.
Guides users through a structured workflow to collaboratively draft, refine, and test high-quality technical documentation and proposals.
Develops acute intuition for identifying and creating high-impact research by analyzing patterns in landmark papers and avoiding incremental pitfalls.
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