learning & documentation Claude 스킬을 발견하세요. 86개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Provides comprehensive LaTeX templates and formatting guidelines for major scientific journals, conferences, and grant proposals.
Evaluates scholarly research and academic papers using the structured ScholarEval framework for rigorous quality assessment.
Evaluates scientific manuscripts and grant proposals through a systematic assessment of methodology, statistics, and reproducibility.
Enforces a concise, engineering-first writing style for technical README documentation.
Synchronizes project documentation and AI context files with recent codebase changes to ensure accurate LLM performance.
Provides interactive onboarding and role-specific deep dives for the TeamCraft development workflow within Claude Code.
Applies Test-Driven Development principles to create high-performance process documentation and specialized capabilities for Claude Code agents.
Provides specialized Nablarch 5 framework insights and automated code analysis for Java enterprise applications.
Validates technical documentation structure, normative vocabulary, and source-of-truth alignment to ensure consistency and prevent documentation drift.
Synchronizes and generates project documentation directly from source-of-truth configuration files.
Synchronizes source code evidence with derived technical documentation to prevent drift and ensure accurate specifications.
Accelerates Nablarch 6 development by providing instant framework knowledge and deep code analysis based on verified documentation.
Generates a comprehensive JOURNAL.md file that documents project architecture, structure, and tech stack based on existing code artifacts.
Answers internal questions about company policies, benefits, and workplace procedures using provided documentation.
Generates and maintains comprehensive technical documentation including READMEs, API references, and architecture guides.
Analyzes codebase structure and automatically generates token-lean architecture documentation in Japanese.
Quizzes you on recently read Readwise documents to enhance understanding and long-term retention through active recall.
Guides developers through the AI-Driven Development Lifecycle (AI-DLC) methodology and plugin ecosystem for AI-native software engineering.
Navigates and explores Meldoc documentation using advanced search, tree visualization, and link relationship mapping.
Identifies over 24 writing patterns that diminish scholarly quality and detects AI-generated linguistic markers in academic drafts.
Identifies optimal target journals for research papers using real-time data from OpenAlex and Crossref APIs to build data-driven submission strategies.
Develops comprehensive academic search strategies and evidence synthesis frameworks using the 5-phase VS-Research methodology.
Manages long-term research context and decision history through automated checkpoints and multi-layer persistence.
Guides researchers in establishing and justifying the philosophical foundations of their studies, ensuring alignment between ontology, epistemology, and methodology.
Transforms vague research ideas into differentiated, high-impact research questions using structured academic frameworks and typicality analysis.
Standardizes Markdown formatting and documentation structure to ensure consistent, readable, and lint-compliant content.
Standardizes project documentation through automated README structures, Architecture Decision Records (ADRs), and Keep a Changelog formatting.
Accesses comprehensive documentation and troubleshooting guides for the Quoth AI Memory plugin within Claude Code.
Implements the Diátaxis framework to structure and write high-quality technical documentation across four distinct quadrants.
Standardizes the creation and maintenance of human-readable changelogs following professional software documentation best practices.
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