learning & documentation Claude 스킬을 발견하세요. 86개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Analyzes recent Claude Code sessions to identify skill gaps, curate relevant HackerNews resources, and deliver personalized growth reports to Slack.
Standardizes markdown formatting for nested code blocks using the k+1 rule to ensure perfect documentation rendering.
Ensures project documentation stays synchronized with code changes by providing intelligent reminders for CHANGELOG, README, and architectural updates.
Generates comprehensive Architecture Decision Records (ADRs) that map technical choices to specific ecosystem constraints.
Extracts and formalizes mathematical logic, algorithms, and time-based calculations from requirements into code-ready specifications.
Refactors and optimizes CLAUDE.md memory files to improve project context, reduce token usage, and enhance AI coding efficiency.
Drafts and optimizes CLAUDE.md and AGENTS.md files to improve Claude Code context adherence and session performance.
Initializes a structured documentation intelligence framework and knowledge base for AI-augmented development.
Retrieves the latest documentation and implementation patterns for Next.js, shadcn/ui, and other web libraries using specialized MCP servers.
Provides empathetic, structured guidance for parents dealing with school refusal and behavioral challenges using the Sudachi Method.
Analyzes existing brownfield codebases to automatically generate comprehensive architecture, API, and component documentation.
Captures and persists architectural decisions, bug fixes, and technical trade-offs to a permanent memory bank for long-term project context.
Standardizes LaTeX thesis workflows, mathematical styling, and HTML output pipelines using LaTeXML.
Generates structured, learning-oriented tutorial documentation following the Diataxis framework for developer education.
Provides a comprehensive template for documenting project architecture, coding standards, and deployment workflows within Claude Code.
Extracts and codifies reusable coding patterns, error resolutions, and project-specific conventions from active AI sessions.
Applies Test-Driven Development principles to documentation and skill creation to ensure bulletproof AI agent compliance.
Analyzes local git history to extract repository-specific coding patterns and automatically generate SKILL.md files for Claude.
Automates and optimizes R package documentation and website creation using roxygen2 tags and pkgdown configurations.
Generates comprehensive architecture documentation and structural analysis for TypeScript and Python codebases.
Searches and loads project-specific knowledge and architectural patterns from the SPECTRE learning registry.
Automates the capture, organization, and publishing of knowledge from YouTube, GitHub, and web articles directly into an Obsidian vault.
Automatically captures and organizes solved technical problems into a searchable, schema-validated knowledge base.
Scans repositories to identify tooling signatures and automates the creation of a comprehensive project manifest for AI agents.
Extracts, classifies, and deduplicates institutional knowledge from project retrospectives to build a structured, persistent knowledge base.
Generates academic theory positioning packages and contribution claims tailored to specific social science journals.
Manages reference data, server architecture, and personality traits for the Araba agent ecosystem.
Refines academic introductions to align with specific journal structures and validates research claims against evidence.
Generates terminal-compatible ASCII diagrams to visualize system architecture, data flows, and migration phases directly within your CLI.
Orchestrates a comprehensive documentation validation suite including markdown linting, diagram verification, and typography checks.
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