Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Provides comprehensive guidance and command validation for the entire Docker CLI ecosystem.
Standardizes Java project build configurations using Maven and Gradle Kotlin DSL with industry best practices.
Manages Linear issues and daily planning workflows directly within Claude Code to streamline task execution and reporting.
Streamlines the creation of custom guardrails and automated triggers to govern Claude Code's behavior during terminal and file operations.
Implements clean, hierarchical Android interfaces using Jetpack Compose while maintaining clear separation between lists and forms.
Transforms shaped product concepts into structured Android user journeys and screen layouts optimized for Jetpack Compose.
Performs adversarial QA audits on bead-based task decompositions to ensure reliable autonomous agent execution.
Ensures implementation accuracy by identifying ambiguous requests and asking targeted, low-friction clarifying questions before starting work.
Automatically extracts and saves reusable coding patterns, error resolutions, and best practices from your Claude Code sessions.
Enforces scientific rigor and theoretical correctness in software engineering tasks, prioritizing high-performance implementation and formal verification.
Evaluates user experience, assesses production readiness, and identifies UI-to-backend gaps through structured auditing workflows.
Provides architectural guidance and implementation patterns for building Model Context Protocol (MCP) servers with the OpenAI Apps SDK.
Automates the creation of isolated Git worktrees for safe, parallel feature development with built-in environment setup and safety checks.
Integrates Gleam code with JavaScript environments using Foreign Function Interface (FFI) and external function calls.
Configures and optimizes Three.js materials for high-quality 3D rendering and custom shader development.
Audits, evaluates, and optimizes CLAUDE.md files to ensure AI assistants have the most accurate project context and execution workflows.
Implements high-performance React and Next.js design patterns, including state management, component composition, and UI optimization strategies.
Applies Anthropic's official visual identity, including specific color palettes and typography, to documents and design artifacts.
Generates granular, TDD-focused implementation plans to guide complex coding tasks with precision and structure.
Analyzes Claude session history to optimize and refine skill definitions based on real-world performance patterns.
Restores project state and task context from local markdown artifacts to continue development exactly where it left off.
Evaluates user experience across the entire product lifecycle using automated browser paths and systematic heuristics.
Provides standardized templates and best practices for creating professional, AI-friendly project documentation.
Implements production-ready architectures for LLM applications, including RAG pipelines, autonomous agents, and prompt engineering workflows.
Automates the preparation of structured meeting agendas and project updates by pulling real-time context from Linear and YouTrack.
Manages YouTrack tickets, epics, and weekly status reporting through automated REST API interactions and specialized project workflows.
Builds concurrent, fault-tolerant applications using the Gleam OTP framework on the BEAM virtual machine.
Generates structured, AI-ready Product Requirements Documents optimized for autonomous implementation loops.
Enforces rigorous verification and evidence collection before any task completion or status claim is made.
Manages code review feedback with technical rigor by prioritizing verification and objective analysis over performative agreement.
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