learning & documentation Claude 스킬을 발견하세요. 86개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Analyze and clone project dependencies at their exact pinned versions to study upstream source code in a dedicated workspace.
Simulates a skeptical academic reviewer to identify weaknesses and overclaims in research papers before submission.
Critiques research paper drafts by simulating a skeptical, high-standard peer reviewer to identify weaknesses before submission.
Generates structured Software Design Documents including project skeletons, requirement definitions, and technical specifications.
Automates the quality assurance of software specifications by detecting contradictions and ensuring compliance with steering documents.
Organizes and synchronizes project-wide context files like AGENTS.md and README.md to ensure AI instruction consistency.
Performs exhaustive library and framework investigations by cloning repositories and analyzing source code to build a persistent knowledge base.
Transforms academic papers into interactive websites, professional presentation videos, and print-ready conference posters.
Manages scientific protocols and lab documentation via the protocols.io API v3.
Generates concise, evidence-based medical treatment plans and clinical documentation in professional LaTeX/PDF formats.
Optimizes LLM interactions using advanced strategies like few-shot learning, chain-of-thought, and systematic prompt refinement.
Manages comprehensive quality document control and regulatory compliance for medical device organizations using systematic change management and configuration control.
Drafts comprehensive, research-backed engineering proposals and RFCs in Confluence wiki markup for stakeholder approval.
Maintains a persistent, research-driven personal knowledge base directly within the Claude CLI.
Explores and retrieves information from markdown-based knowledge bases using a sophisticated four-tier progressive loading strategy.
Visualizes and explores your local knowledge base through an interactive browser interface with fuzzy search and graph visualization.
Bootstrap project specifications by reverse-engineering vision, governance, and architecture directly from existing code.
Initializes a structured project knowledge base and configures Claude Code for local learning and documentation management.
Converts knowledge base topics into executable Claude Code skills and packages them into distributable plugins.
Optimizes and restructures local knowledge base directories by unifying terminology, splitting large notes, and fixing structural inconsistencies.
Maintains and updates the llms.txt file to provide optimized repository context for large language models.
Generates professional-grade, publishable AI research paper reading notes with deep technical analysis and structured insights.
Fetches real-time documentation and code examples for modern libraries and frameworks using Context7.
Generates professional, high-quality GitHub README files by analyzing your entire project structure and codebase.
Applies Test-Driven Development principles to create, optimize, and verify AI agent documentation and specialized skills.
Generates challenging assessment questions based on specific learning objectives and student proficiency levels.
Provides a comprehensive reference for creating professional UML and architectural diagrams using PlantUML text syntax.
Delivers a personalized, project-based learning experience optimized for high focus and cognitive retention.
Conducts comprehensive, structured deep research on any topic using Gemini-powered sub-agents and web search tools.
Extracts business requirements and domain logic from existing codebases to facilitate brownfield development and system documentation.
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