Descubre Habilidades de Claude para learning & documentation. Explora 97 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Standardizes API and SDK documentation through consistent formatting, professional tone, and production-ready code sample templates.
Facilitates post-coaching practice sessions, certifications, and accountability workflows to ensure long-term behavioral change in sales teams.
Generates comprehensive technical documentation by recursively analyzing Jira features and their linked GitHub pull requests.
Facilitates the rollout of brand initiatives by planning comprehensive training programs, office hours, and adoption strategies.
Captures, tags, and distributes sales call clips to streamline coaching and enablement programs within GTM workflows.
Guides the creation of new, effective Claude Code Skills to extend Claude's capabilities with specialized knowledge and workflows.
Standardizes sales performance through structured competency rubrics, scoring guides, and multi-week coaching templates.
Retrieves and displays content from specified URLs using a standardized, token-efficient MCP execution pattern.
Generates comprehensive domain models and architectural documentation by extracting semantic relationships and conceptual structures directly from source code.
Establishes an authoritative hierarchy for understanding a codebase by prioritizing specifications, tests, and runtime code over general documentation.
Standardizes the development and organization of specialized Claude Code skills using structured templates and token-efficient documentation patterns.
Generates individualized sales development plans, skill assessments, and call review frameworks to systematically improve team performance.
Designs sport-specific practice sessions with structured drills, timing, and skill-level progressions.
Generates rigorous, evidence-based architectural documentation and technical specifications with mandatory requirements-to-implementation traceability.
Guides the modeling of complex business domains using type-driven and data-oriented principles to ensure code clarity and system integrity.
Retrieves verified code snippets and API usage patterns from billions of open-source repositories and documentation sites to ensure accurate implementation.
Applies Test-Driven Development principles to create resilient, rationalization-proof process documentation for AI agents.
Standardizes technical documentation style to ensure clarity, consistency, and a professional yet human tone.
Audits and improves technical documentation by enforcing standards for voice, structure, completeness, and technical accuracy.
Standardizes the creation of high-quality tutorials, conceptual guides, and how-to documentation for technical products.
Deploys specialized AI agents to create, review, and maintain high-quality functional and API documentation following industry standards.
Organizes and structures technical documentation using standardized hierarchies, navigation patterns, and information architecture best practices.
Retrieves real-world code snippets and documentation from billions of open-source repositories and forums to provide accurate, hallucination-free development context.
Masters core JavaScript concepts, modern ES6+ features, and asynchronous patterns to build and refactor robust applications.
Maintains a chronological log of major architectural and design choices to ensure long-term project transparency and rationale tracking.
Creates and refines Claude agent skills by providing established best practices, structural guidelines, and development workflows.
Guides the development of self-interpreting Scheme-like evaluators through incremental implementation and systematic multi-level debugging.
Refactors legacy code and implements ES6+ features to create clean, maintainable, and high-performance JavaScript applications.
Enables the creation of single source files that are syntactically valid and executable as both C programs and Python scripts.
Guides the construction of metacircular evaluators for Scheme-like languages, focusing on environment management, closure representation, and multi-level interpretation debugging.
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