Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Generates production-ready backend tests including unit suites, integration tests, and mocked dependencies for Jest and Vitest.
Automates the creation of standardized, high-quality slash commands for the Navigator JIT documentation plugin.
Automates the generation of structured Standard Operating Procedures from development conversations to capture tribal knowledge and prevent recurring issues.
Initializes a systematic cognitive framework for Claude to ensure consistent performance through specialized profile activation and impulse management.
Generates database migration files with automated schema changes and corresponding rollback logic.
Initializes development sessions with optimized context and just-in-time documentation to reduce token overhead by up to 92%.
Bootstraps the Navigator Just-in-Time Documentation structure to optimize Claude Code's performance and token efficiency.
Automates the end-to-end setup of visual regression testing suites including Storybook stories, tool configurations, and CI/CD workflows.
Manages the lifecycle of feature documentation by creating implementation plans and archiving completed tasks to optimize token usage.
Creates persistent context save points to preserve conversation state and progress across Claude Code sessions.
Deploys containerized applications to any server with zero downtime using Kamal's SSH and Docker-based workflow.
Crafts high-quality AI instructions using the Genius Intern framework to maximize LLM performance and clarity.
Standardizes the creation, validation, and packaging of custom Claude Code skills to extend agent capabilities.
Provides architectural principles and implementation patterns for designing high-performance tools that AI agents can use effectively.
Generates production-ready React and Vue components complete with TypeScript interfaces, unit tests, and scoped styling.
Performs rigorous, tool-verified code quality assessments using a structured 9-phase methodology powered by Language Server Protocol.
Implements a systematic cognitive architecture that replaces default AI behaviors with disciplined, collaborative response patterns.
Documents technical sessions with factual accuracy, capturing decisions, outcomes, and next steps for precise project tracking.
Generates production-ready REST and GraphQL API endpoints complete with request validation, error handling, and automated integration tests.
Facilitates collaborative technical design through an adaptive, three-stage dialogue process for robust architectural decision-making.
Extracts and analyzes Granola meeting notes to generate structured intelligence including action items, participant insights, and company mentions.
Audits web application code for compliance with modern interface guidelines, accessibility standards, and UX best practices.
Synchronizes AI development workflows with core project goals using evidence-based subagent audits and drift detection.
Optimizes Claude's contextual awareness by refactoring documentation into a nested, progressive disclosure structure.
Generates comprehensive Product Requirements Documents through a structured interview and research-led workflow.
Manages application deployments, preview environments, and deployment protection settings on the Vercel platform.
Evaluates repositories across eight technical pillars to determine how well a codebase supports autonomous AI-assisted development.
Automates development environment setup and manages cross-platform AI assistant configurations for macOS and Linux.
Corrects speech recognition errors in subtitle files while strictly preserving timeline integrity for technical and educational content.
Initializes new or existing projects with optimized CLAUDE.md files, custom slash commands, and standardized structures.
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