发现learning & documentation类别的 Claude 技能。浏览 97 个技能,找到适合您 AI 工作流程的完美功能。
Automates the creation and management of high-quality Architecture Decision Records (ADRs) using the MADR format.
Generates comprehensive environment setup and installation guides by automatically analyzing your project's codebase and configuration files.
Creates and edits Architecture Decision Records (ADRs) following strict, project-specific formatting and content guidelines.
Generates comprehensive architecture overview documentation and visual diagrams directly from your codebase analysis.
Captures and organizes project-specific insights, failure patterns, and architectural decisions into a structured file-based memory system.
Extracts and stores universal coding patterns, architectural insights, and failure lessons into a persistent file-based memory system.
Applies Elements of Style principles to create concise, high-clarity technical documentation including READMEs, API guides, and architecture docs.
Retrieves universal coding patterns and architectural guidance from a vector database to solve complex technical challenges.
Reads, writes, and organizes notes within a personal Obsidian knowledge base for task logging and knowledge capture.
Generates comprehensive, sharded documentation including architecture guides and tutorials through multi-agent LLM analysis of source code.
Demonstrates the correct format and structure for building custom Claude Code Skills.
Transforms complex JSON specifications into human-readable Markdown documentation with visual progress tracking and AI-enhanced insights.
Automates the creation of high-quality technical articles with real-world research, runnable code examples, and custom author voice matching.
Generates complete, verified, and executable code projects and documentation templates for technical articles.
Provides comprehensive reference documentation for terminal development, including TTY/PTY, signal handling, and ANSI escape sequences.
References comprehensive FilamentPHP v4 documentation to ensure accurate component implementation and architectural patterns.
Provides fast, structured lookups and automated analysis of codebase architecture, dependencies, and execution flows without parsing source code directly.
Archives, searches, and retrieves Claude Code conversation transcripts by converting raw session data into searchable, human-readable markdown files.
Fetches real-time documentation and implementation guides for Next.js, shadcn/ui, and other web libraries through specialized MCP servers.
Generates and maintains structured CLAUDE.md and AGENTS.md files to provide optimal context for AI coding assistants.
Guides developers through the complete setup, creation, and deployment process for MonaOS applications on the Universe 2025 Tufty Badge.
Retrieves project-specific insights, architecture decisions, and historical context from a file-based memory store to inform development tasks.
Demonstrates the foundational structure and metadata requirements for creating custom Claude Code skills.
Formats comprehensive research artifacts, technical surveys, and documentation according to specific markdown and CSS standards for Joplin notes.
Automatically generates detailed technical documentation for data ingestion layers by analyzing workflow configurations and connector patterns.
Queries Google NotebookLM notebooks via browser automation to provide source-grounded, citation-backed answers with zero hallucinations.
Generates comprehensive, production-ready documentation for data workflows that combine historical and incremental table strategies.
Retrieves detailed Greek and Hebrew linguistic data, morphological analysis, and Strong’s dictionary definitions for Bible verses and word studies.
Automates the generation of standardized technical documentation for Treasure Data pipeline layers using codebase-driven insights.
Generates comprehensive documentation for staging transformation layers by analyzing SQL engines, PII handling, and deduplication logic directly from codebase files.
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