发现learning & documentation类别的 Claude 技能。浏览 86 个技能,找到适合您 AI 工作流程的完美功能。
Provides comprehensive expertise and implementation patterns for the entire Anthropic ecosystem, including Claude models, APIs, SDKs, and the Model Context Protocol.
Standardizes the creation and optimization of specialized AI skills to extend Codex's capabilities with domain-specific knowledge.
Manages scientific protocols and lab workflows through seamless integration with the protocols.io API.
Automates the synchronization of technical specifications and acceptance criteria with implementation changes to prevent documentation rot.
Generates and maintains comprehensive technical documentation including API specs, READMEs, and architecture diagrams.
Analyzes existing codebases to generate continuity ledgers and accelerate project familiarity for Claude.
Guides users through workspace capabilities, specialized agents, and multi-agent workflows using interactive discovery.
Conducts systematic technical research across web sources, MCP servers, and GitHub repositories to identify best practices and implementation patterns.
Retrieves semantic learnings and context from past coding sessions to provide persistent project intelligence.
Provides real-time access to LangGraph documentation for accurate implementation of stateful AI agents.
Ensures consistency and structural alignment between project requirements, UI definitions, database schemas, and API contracts.
Analyzes project architecture, identifies design patterns, and generates comprehensive technical documentation for complex codebases.
Aggregates the latest Claude Code features, optimization techniques, and Agent SDK documentation with efficient local caching.
Generates a structured hierarchy of AGENTS.md files to provide AI agents with scoped context, module maps, and cross-domain workflow guidance.
Guides users through a structured three-stage process to co-author high-quality documentation, technical specifications, and proposals.
Document and manage significant technical decisions using standardized Architecture Decision Record (ADR) patterns and templates.
Applies Test-Driven Development principles to create and refine high-quality documentation for Claude Code skills.
Generates and documents complex software architectures, workflows, and database schemas using Mermaid text-based syntax.
Generates professional flowcharts and technical diagrams using the Typst typesetting system and CeTZ library.
Applies Test-Driven Development principles to the creation and optimization of Claude Code skills and process documentation.
Standardizes the process of documenting and maintaining significant technical decisions using professional ADR templates and lifecycle management.
Discovers and analyzes technical documentation using llms.txt standards, GitHub repository analysis, and parallel web exploration.
Refactors legacy code and implements modern ES6+ best practices including async/await, functional programming, and clean syntax.
Applies Test-Driven Development principles to create, optimize, and verify high-quality documentation for Claude Code skills.
Automates academic research in engineering fields by searching, filtering, and cataloging papers from Semantic Scholar and arXiv.
Generates standardized, high-quality docstrings for PyTorch functions and methods following official Sphinx and reStructuredText conventions.
Employs Sanskrit-based metaphysical frameworks to guide deep problem-solving and pattern recognition within complex systems.
Provides standardized background knowledge and best practices to guide Claude's operational context during development tasks.
Captures and categorizes solved coding problems into a searchable institutional knowledge base with structured metadata.
Creates and optimizes specialized Claude Code skills using a Test-Driven Development approach for process documentation.
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