Descubre Habilidades de Claude para learning & documentation. Explora 86 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Simplifies complex system design by generating and managing Systems Modeling Language (SysML) diagrams and documentation for Model-Based Systems Engineering.
Validates and improves software requirements using INVEST criteria and MoSCoW prioritization to ensure clear, testable, and high-quality specifications.
Generates precise UML diagrams using PlantUML and Mermaid notation to document software architecture and logic.
Automates the systematic extraction and categorization of project requirements from diverse document formats and meeting transcripts.
Generates and manages standardized software architecture diagrams using the hierarchical C4 model abstraction levels.
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.
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.
Provides instant, detailed documentation and argument usage for Robot Framework keywords across libraries and resources.
Demonstrates advanced resource management by progressively loading scripts, documentation, and data files from a skill directory as needed.
Generates structured, high-fidelity markdown documentation from analyzed media content while preserving original context and timestamps.
Applies semantic line breaks to prose, such as comments and commit messages, to improve readability and maintainability.
Performs in-depth codebase research and documents findings in persistent, structured markdown files.
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.
Accesses authoritative, up-to-date OpenAI developer documentation to provide precise guidance on building with APIs and SDKs.
Systematizes topic research through complexity-based assessment and automated documentation generation.
Provides rules and best practices for writing clear, valuable, and standardized code comments.
Generates and updates standardized JSDoc documentation and TypeScript examples for the DuploJS utility ecosystem.
Automates the creation and standardization of project README files with badges, tech stacks, and structured documentation.
Optimizes CLAUDE.md configurations and Agent Skills for the Claude Code CLI using Anthropic’s official prompt engineering best practices.
Automatically derives and documents architectural decisions by analyzing existing project codebases, dependencies, and structures.
Performs intelligent, relevance-ranked searches across architectural knowledge bases using graph indexing and BM25 scoring.
Generates and updates comprehensive project documentation, API references, and changelogs directly from your codebase and git history.
Retroactively generates PRDs, ADRs, and roadmap proposals by analyzing git history and codebase structure.
Automatically synchronizes project documentation with the current state of codebase skills, commands, and agents.
Analyzes Git commit history to automatically surface and generate missing documentation, architectural decisions, and project rules.
Automates the creation and maintenance of project-wide instructions and documentation for Claude Code workflows.
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