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。
Refines prose into professional, punchy communication by applying classical composition principles and eliminating linguistic clutter.
Refines AI performance by reflecting on task execution and formalizing new knowledge into reusable persistent skills.
Generates professional developer documentation, API references, tutorials, and changelogs using documentation-as-code best practices.
Generates professional Mermaid diagrams using the C4 Model and SpecWeave standards for system architecture and technical documentation.
Automates in-depth research by retrieving, analyzing, and synthesizing individual sources into information-dense summaries.
Transforms abstract requirements into clear, testable, and production-ready technical specifications using industry-standard frameworks.
Orchestrates the generation of production-ready Mermaid architecture diagrams following C4 conventions and organizational standards.
Analyzes existing codebases to create structured documentation and migration plans for AI-native development workflows.
Launches and manages interactive Docusaurus servers for real-time previewing of SpecWeave living documentation.
Automatically discovers, documents, and audits codebase conventions to ensure consistency and high quality across development projects.
Generates standardized requirements, arc42 architecture documents, and tech stack manifests using automated project analysis.
Orchestrates comprehensive project documentation by gathering context once and delegating to specialized AI documentation workers.
Automates the creation of Architecture Decision Records (ADRs), technical guides, and package manuals based on your project's technology stack.
Transforms project Markdown documentation into professional, multi-tab HTML presentations with interactive diagrams and roadmaps.
Researches industry standards, RFCs, and architectural patterns to ensure technical stories follow global best practices.
Generates a standardized documentation foundation including CLAUDE.md and core principles to streamline AI agent navigation and project consistency.
Manages and maintains Python runtime code for DiPeO services, including node handlers, domain models, and LLM infrastructure.
Generates token-efficient, hierarchical AGENTS.md documentation structures to provide context-aware guidance for AI coding assistants.
Automates industry research and generates structured project documentation including ADRs, API manuals, and best practice guides.
Standardizes the creation of high-quality Claude Code skills using Test-Driven Development (TDD) principles for documentation.
Orchestrates the automated creation of a complete, multi-layered documentation system including architecture, task boards, and legacy migrations.
Generates comprehensive OpenAPI specifications and Mermaid-based database ER diagrams automatically from project source code.
Applies semantic line breaks to prose, such as comments and commit messages, to improve readability and maintainability.
Provides rules and best practices for writing clear, valuable, and standardized code comments.
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
Demonstrates advanced resource management by progressively loading scripts, documentation, and data files from a skill directory as needed.
Guides pre-PMF startups through product discovery and problem validation using the Opportunity Solution Tree framework.
Provides a structured process and best practices for creating new Claude skills.
Generates structured, project-specific rules in a `lifeguard.yaml` file to guide and standardize code reviews.
Systematizes topic research through complexity-based assessment and automated documentation generation.
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