learning & documentation Claude 스킬을 발견하세요. 86개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Keeps project documentation, READMEs, and agent steering specs perfectly in sync with recent code changes and feature implementations.
Provides a standardized reference and boilerplate for creating high-quality Claude Code plugin skills.
Analyzes your recent coding interactions to identify technical patterns, skill gaps, and personalized growth opportunities.
Analyzes Git history to retrieve implementation patterns, story context, and historical coding decisions through targeted version control queries.
Synchronizes Next.js MDX documentation with recent code changes through automated impact analysis and guided updates.
Guides the creation, structuring, and optimization of specialized skills for Claude Code plugins using industry best practices.
Automates the installation and configuration of the Brave Search Model Context Protocol (MCP) server for real-time web search capabilities.
Transforms research data into publication-ready scientific manuscripts using standardized academic structures and automated visual schematics.
Standardizes R package and project documentation using professional roxygen2 templates, README structures, and vignette patterns.
Ensures accurate API implementation by verifying method signatures and patterns against official documentation before writing code.
Generates structured, blameless root cause analysis documentation to facilitate team learning and prevent incident recurrence.
Generates evidence-based feedback templates for Canvas LMS assignments using the Four Learning Design Pillars framework.
Guides developers through professional requirement clarification and scope definition during live coding interviews.
Automates the creation and management of Architecture Decision Records (ADRs) to maintain project history and technical rationale.
Provides comprehensive guidance, command documentation, and architectural rationale for the Craft-Coder pair programming plugin.
Automates the creation and organization of structured background documentation for academic research and literature reviews.
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.
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.
Guides users through a structured, three-stage workflow to collaboratively create high-quality technical documentation and proposals.
Generates optimized CLAUDE.md files to provide Claude with concise, high-priority project context and workflows.
Simplifies documentation reviews using a standardized tagging system and automated systemic impact analysis.
Translates technical documentation and academic papers while preserving rigorous terminology, code blocks, and document structure.
Generates self-contained, high-quality documentation packages designed for AI consumption and external system integration.
Architects and optimizes modular skills to extend Claude Code with specialized workflows and domain-specific knowledge.
Analyzes your project structure and patterns to generate or update a comprehensive STANDARDS.md reference for your codebase.
Provides a standardized blueprint and structural foundation for developing custom Claude Code skills.
Captures and organizes solved technical problems into a searchable, YAML-validated knowledge base to preserve institutional intelligence.
Automates Memrise community course management, including word uploads, level configuration, and content auditing via the command line.
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