Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Splits oversized programming tasks into smaller, manageable subtasks with automated dependency management and context optimization.
Breaks down complex software development tasks into precise, actionable steps using a standardized, time-agnostic framework.
Enforces senior-level engineering standards for git commits by ensuring clean code hygiene, passing tests, and timeless documentation.
Builds and simulates a cost-efficient, wobbling robot that composes nonstandard musical scales through duck-like vocalizations.
Implements a file-based workflow for structured planning, progress tracking, and persistent knowledge storage during complex tasks.
Automates local web application testing and UI verification using Playwright and server management utilities.
Manages development tools, automated tasks, and environment-specific configurations using the mise runtime executor and task runner.
Orchestrates and runs appropriate code review skills based on codebase analysis and user context.
Crafts professional yet approachable technical articles for the Zenn platform using established structural patterns and a distinctive personal style.
Facilitates the creation, management, and debugging of specialized Claude Code skills following Anthropic's architectural patterns and best practices.
Automates Databricks deployment cycles using GitHub Actions and robust quality gates for data engineering pipelines.
Automates the creation and setup of isolated Git worktrees with safety verification and dependency installation.
Generates custom AI images using Google's Gemini 2.5 Flash for seamless integration into web designs and frontend components.
Creates distinctive, production-grade frontend interfaces and UI components that avoid generic AI-generated aesthetics.
Streamlines the creation and management of Claude Code skills by enforcing Anthropic best practices for auto-activation, hook mechanisms, and progressive disclosure.
Streamlines the creation, management, and serving of scalable feature stores within the Databricks MLOps ecosystem.
Manages, synchronizes, and publishes AI agent skills across multiple platforms and tiered marketplaces.
Optimizes machine learning workflows on Databricks by implementing structured MLflow experiment tracking and model governance patterns.
Automates multi-phase development tasks using claude-flow orchestration and intelligent retry loops with verification systems.
Generates structured Product Requirements Documents optimized for AI-assisted development and efficient token usage.
Standardizes Next.js project initialization with feature-based architecture and a robust design system framework.
Designs and implements optimized Claude Code ecosystem components including skills, commands, hooks, and subagents for advanced workflow automation.
Executes complex implementation plans by orchestrating specialized subagents for development and multi-stage review cycles.
Facilitates the development, simulation, and control of 3D-printed humanoid robots for reinforcement learning research.
Manages Rust-based robot firmware and gRPC services for actuator control and sim-to-real workflows.
Performs a rigorous two-phase audit to ensure code aligns with specifications and meets high maintainability standards.
Implements a disciplined four-phase debugging framework that prioritizes root cause investigation over superficial fixes.
Retrieves and displays Bible verses across multiple translations using standardized USFM 3.0 reference codes.
Implements automated model monitoring, drift detection, and performance tracking for production machine learning systems on Databricks.
Build and manage declarative, self-healing data pipelines with built-in quality enforcement and automated lineage tracking.
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