Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.
Manages Discord operations including messaging, reactions, and channel management directly through Claude.
Automates code formatting and linting checks to ensure code quality and CI compliance before committing.
Manages GitHub pull requests, issues, and CI/CD workflows directly through the command line using the GitHub CLI.
Manages and tracks Foodora delivery orders directly from the terminal with real-time status updates.
Delegates complex development tasks and feature builds to specialized background AI agents like Codex and Claude Code.
Integrates Google Workspace services like Gmail, Calendar, Drive, and Sheets directly into your terminal workflow.
Automates the creation of GitHub pull requests for the n8n repository while ensuring compliance with internal CI title validation rules.
Simplifies the creation of customizable widget plugins for the prompts.chat feed system to display sponsored content and interactive components.
Accesses, retrieves, and optimizes a vast library of community-sourced AI prompts directly within your terminal workflow.
Guides the localization and translation of 'The Interactive Book of Prompting' chapters and UI strings into new languages.
Discovers and installs modular AI capabilities from the prompts.chat community to extend Claude's task-specific expertise.
Accesses and optimizes a comprehensive library of community-curated AI prompts to enhance model performance and task accuracy.
Synchronizes Next.js documentation with code changes through automated impact analysis and standardized MDX templates.
Optimizes Next.js applications using Cache Components, Partial Prerendering (PPR), and modern granular caching directives.
Orchestrates Claude Code through sophisticated autonomous patterns ranging from simple sequential pipelines to multi-agent DAG systems.
Optimizes text extraction workflows by combining deterministic Regular Expressions with LLM-powered edge case validation.
Implements Swift 6.2 concurrency patterns to eliminate data races through a default single-threaded model and explicit background offloading.
Generates high-quality, brand-aligned long-form content that prioritizes evidence and structure over generic AI patterns.
Optimizes file processing performance using SHA-256 content hashing for path-independent and auto-invalidating cache management.
Implements dynamic, interactive glass-style UI components with blur and morphing effects for modern iOS development.
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