Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Optimizes AI development costs by automatically routing tasks to the most efficient Claude model based on task complexity.
Streamlines application deployment, version management, and rollbacks on AWS Elastic Beanstalk using the EB CLI.
Streamlines project requirements gathering into a high-density, token-efficient format for faster AI development cycles.
Optimizes machine learning model performance through automated hyperparameter searches using Grid, Random, and Bayesian strategies.
Standardizes testing structures and best practices across multiple programming languages and frameworks within Claude Code.
Initializes Elastic Beanstalk projects and manages application versions and lifecycle rules using the EB CLI.
Orchestrates collaborative design sessions and extracts formal specifications directly into OpenSpec change directories.
Synthesizes real-world data from multiple search tools into structured narratives and citations for documentation and drafting.
Manages high-performance parallel execution and fiber-based concurrency using structured patterns within the Effect ecosystem.
Implements comprehensive logging, metrics, and distributed tracing using the Effect-TS ecosystem for robust application monitoring.
Streamlines AWS Elastic Beanstalk operations by providing a central command hub for application deployment, environment monitoring, and infrastructure management.
Performs deep, parallel code reviews for security, performance, and test coverage using specialized AI agents.
Streamlines data consumption and aggregation within the Effect-TS ecosystem using specialized Sink patterns.
Generates and audits high-leverage CLAUDE.md configuration files to optimize context transfer and model performance.
Implements comprehensive web application testing strategies and automated browser checks using Playwright and deep audit principles.
Transforms raw research and personal notes into polished, conversational blog posts optimized for Substack and digital readers.
Provides a comprehensive reference for modern SwiftUI components, layout patterns, and OS-specific implementation guides.
Fetches real-time function signatures, usage examples, and documentation directly from the official Effect-TS API reference.
Ensures high-quality codebases by validating test behavior, identifying edge case gaps, and enforcing strict coverage standards.
Refines vague ideas into concrete requirements and structured topics through Socratic questioning and collaborative ideation.
Provides a comprehensive syntax and workflow guide for the Mira MCP intelligence layer tools.
Plans complex software projects using risk-first development, milestone structuring, and outcome-oriented task management.
Performs concept-based code discovery using natural language to find implementations by meaning rather than exact text matches.
Streamlines the creation, execution, and debugging of unit and integration tests using the high-performance Vitest framework.
Automates local web application testing and browser interaction using Playwright and lifecycle management scripts.
Translates abstract RFC specifications into concrete, framework-aware technical implementation designs.
Promotes developer well-being by providing proactive reminders and healthy habit nudges during coding sessions.
Streamlines high-quality content creation through collaborative outlining, automated research, and real-time section-by-section feedback.
Automates the creation of detailed GitHub pull requests using Jujutsu (jj) and the GitHub CLI.
Implements structural equality, hashing, and ordering patterns for Effect TS applications using specialized traits.
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