Descubre Habilidades de Claude para learning & documentation. Explora 86 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Consults official Claude Code documentation on-demand for accurate implementation of hooks, skills, and subagents.
Generates polished Docusaurus documentation sites automatically from Architecture Decision Records (ADRs) and OpenSpec specifications.
Explains complex data flows, application features, and code paths using visual diagrams and detailed step-by-step breakdowns.
Optimizes CLAUDE.md and project documentation ecosystems to improve AI context efficiency and code-doc synchronization.
Captures and organizes architectural decisions, edge cases, and technical discoveries into a structured knowledge base during coding sessions.
Lists all architecture decision records (ADRs) and technical specifications within a project to provide a high-level overview of design history.
Generates standardized, blameless postmortem documentation for code fixes to prevent future regressions through systemic learning.
Generates and improves project documentation by providing audience-specific templates and strategic guidance for README files.
Applies Test-Driven Development (TDD) principles to create, verify, and optimize specialized capabilities for AI coding agents.
Automatically retrieves historical development context, architectural patterns, and team decisions from memory to ensure consistent code implementations.
Generates professional, best-practice GitHub README files with integrated project metrics, technology badges, and structured documentation sections.
Standardizes course descriptions for intelligent textbooks by validating completeness and alignment with Bloom's Taxonomy to facilitate learning graph generation.
Teaches and applies Effect-TS principles to build type-safe, resilient, and architecturally sound TypeScript applications.
Applies the Diátaxis systematic framework to structure, classify, and write high-quality technical documentation.
Generates plain-language code explanations and architectural diagrams to simplify system understanding and developer onboarding.
Synthesizes academic literature corpora into theoretical maps, thematic clusters, and debate summaries for sociological research.
Provides comprehensive Zig language expertise, offering version-aware coding guidance, memory management patterns, and a library of over 200 tested recipes.
Transforms textbook chapters into evidence-based, engaging university lectures and automated Google Slides presentations.
Accelerates codebase orientation by leveraging structured Intent Layer documentation to identify architectural boundaries, coding contracts, and entry points.
Generates high-quality, atomized Anki flashcards optimized for long-term retention and cognitive science principles.
Guides the development and optimization of specialized Claude Code Skills using structured workflows and context-efficient resource management.
Facilitates high-quality academic literature reviews following the PRISMA standard and PROSPERO protocol guidelines.
Standardizes the development of modular Claude Code Skills to extend AI capabilities with specialized knowledge and workflows.
Evaluates the validity and rigor of research, claims, and logical arguments using a structured eight-phase framework.
Automates project changelog management by tracking code updates, requirement revisions, and architectural design decisions through git analysis.
Generates symptom-based troubleshooting documentation that helps developers resolve issues by focusing on observable behaviors rather than root causes.
Scans and synthesizes fragmented project documentation from multiple platforms into unified, actionable guidance for AI coding.
Generates professional, browser-ready HTML previews from Markdown files and Mermaid diagrams with automated syntax validation.
Organizes complex domain knowledge into self-contained documentation packages with optimized reading paths for different user roles and time constraints.
Reorganizes project documentation into an intent-based structure to improve discoverability and developer productivity.
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