发现learning & documentation类别的 Claude 技能。浏览 88 个技能,找到适合您 AI 工作流程的完美功能。
Manages and organizes Claude Code's multi-level memory system to optimize AI context and project-specific instructions.
Generates clear, action-oriented user documentation and in-app guidance using standardized templates and best practices.
Retrieves high-quality code snippets, implementation patterns, and technical documentation using Exa AI neural search.
Writes and optimizes clear, token-efficient instructions for all Claude Code components, including skills, commands, and documentation.
Generates and updates CHANGELOG.md files by analyzing git commit history based on conventional commit standards.
Searches and analyzes technical documentation using the llms.txt standard, GitHub repository processing, and parallel agent exploration to provide up-to-date framework insights.
Retrieves documents from the Fractary codex knowledge base using a high-performance, cache-first retrieval strategy.
Implements professional JUCE development standards for realtime safety, audio threading, and modern C++ architecture.
Troubleshoots and resolves host-specific bugs for JUCE plugins across major DAWs and formats like AU, VST3, and AAX.
Provides a structured framework for investigating architectural patterns and codebase best practices before implementation.
Discovers and analyzes technical documentation using AI-optimized standards, repository analysis, and parallel agent exploration.
Systematically identifies and prioritizes research gaps from literature reviews to justify new studies and direct future research.
Routes and categorizes session-specific insights to the correct Claude Code memory locations to enhance long-term AI project context.
Generates detailed research pre-registration documents to ensure study transparency and prevent questionable practices like HARKing.
Retrieves comprehensive API documentation and code examples for libraries and frameworks directly within the Claude Code environment.
Accesses and interprets the official HyperFleet architecture documentation to provide authoritative guidance on design patterns, versioning, and system principles.
Systematically documents and manages software architecture decisions, trade-offs, and technical rationale using the ADR pattern.
Transforms unstructured conversations and transcripts into organized, professional documentation within Notion.
Manages the lifecycle of Architecture Decision Records to document technical choices and evaluate alternatives efficiently.
Generates professional-grade technical documentation, including project READMEs, API references, and deployment guides.
Streamlines the creation of submission-ready research manuscripts by automating formatting, reporting guideline compliance, and journal selection.
Guides the creation of effective Claude Code skills using Test-Driven Development (TDD) and research-backed persuasion techniques.
Fetches and processes external documentation from web URLs with built-in safety checks and metadata extraction.
Generates professional ASCII architecture diagrams for Architecture Decision Records using the graph-easy DSL.
Automates LaTeX document compilation using latexmk with live preview, dependency tracking, and automated troubleshooting.
Creates professional, high-quality LaTeX tables using the modern tabularray package for precise layout control and clean syntax.
Guides development within the @lsst-sqre/squared component library, detailing its unique no-build-step architecture, CSS Modules styling, and testing infrastructure.
Generates comprehensive, data-driven documentation for complex identity resolution workflows and ID unification layers.
Bridges the gap between architectural decisions and source code by embedding traceable ADR references into your implementation.
Automates the creation and maintenance of project documentation to ensure synchronization between code changes and guides.
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