Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Implements industry-standard patterns for breaking dependencies, adding tests to legacy code, and performing safe refactoring.
Standardizes the process of building, documenting, and managing specialized AI agent capabilities within a swarm ecosystem.
Facilitates the simulation and testing of timeout scenarios within multi-agent swarm environments.
Guides Claude through a disciplined Red-Green-Refactor workflow to ensure code quality and architectural integrity.
Enforces strict behavioral rules and model-specific logic for multi-agent swarm coordination and tool usage.
Automates the end-to-end GitHub issue lifecycle from initial analysis and contributor profiling to implementation and public credit.
Orchestrates multi-agent workflows to parallelize complex software development tasks through autonomous coordination and file reservation protocols.
Orchestrates multi-agent AI workflows to execute complex, multi-file tasks in parallel through intelligent decomposition and messaging.
Implements modularity and complexity management principles based on Ousterhout's philosophy to create maintainable, reusable software architectures.
Streamlines GitHub pull request reviews by identifying critical issues, applying fixes, and silencing low-value noise.
Automates npm package publishing for Bun monorepos using Changesets and secure OIDC authentication.
Orchestrates multi-agent swarms for parallel task execution and persistent learning capture within OpenCode workflows.
Orchestrates multi-agent workflows through structured task decomposition and conflict-free communication protocols.
Establishes persistent rules and model-specific behaviors for multi-agent swarm coordination and standardized tool usage.
Simulates and validates timeout scenarios within multi-agent swarm environments to ensure robust error handling and agent resilience.
Manages agentic work items and issue tracking through a local-first, git-integrated hive system.
Simulates and manages timeout scenarios to verify the resilience of agentic workflows within OpenCode.
Optimizes multi-agent swarm performance by tracking task outcomes and automatically refining successful implementation patterns.
Builds high-performance TypeScript command-line interfaces using the Bun runtime and native utilities.
Simulates and manages execution timeout scenarios to verify system resilience and agentic error handling logic.
Conducts rigorous, deep-dive code reviews by coordinating context gathering and delegating to specialized LLM environments via RepoPrompt.
Conducts deep technical interviews to extract exhaustive implementation details and refine feature specifications before coding.
Coordinates expert-level code reviews using RepoPrompt or Codex to ensure production-grade implementation quality and architectural integrity.
Manages Git worktrees and environment variables to enable isolated, parallel feature development and seamless code reviews.
Generates structured implementation plans and work breakdowns from natural language descriptions or issue IDs.
Coordinates high-level architectural reviews of epic plans using external analysis backends like RepoPrompt and Codex.
Executes complex development plans systematically through structured task tracking, quality gates, and automated git workflows.
Automates web browsing, UI verification, and data extraction using a command-line browser agent.
Coordinates rigorous, Carmack-level architecture and implementation plan reviews using the RepoPrompt context builder.
Executes technical plans and epic issues systematically with automated git workflows, task tracking, and quality gates.
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