Descubre Habilidades de Claude para collaboration tools. Explora 30 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Uncovers deep customer motivations by analyzing functional, social, and emotional jobs alongside user pains and gains.
Interacts with GitHub repositories to manage pull requests, issues, and CI/CD workflows directly through the gh CLI.
Facilitates the secure export and import of AI coding sessions between developers to maintain workflow continuity and full agent context.
Transforms GitHub issues into comprehensive technical specifications and implementation plans automatically.
Automates multi-agent pull request reviews with impact scoring and intelligent inline GitHub comments.
Attaches line-specific review comments to GitHub pull requests using the GitHub CLI or MCP tools.
Exports open GitHub issues into local markdown files to provide structured project context for AI development.
Automates the creation of structured GitHub issues for the MCPSpy project using the GitHub CLI.
Conducts professional-grade code reviews to ensure security, high performance, and strict adherence to maintainability standards.
Fetches and organizes unread GitHub pull request review requests for specific development teams.
Conducts high-precision, actionable code reviews by enforcing project standards and eliminating feedback noise.
Enables seamless KakaoTalk message reading and sending directly through Claude Code on macOS.
Inspects GitHub issues, pull requests, and milestones using secure, read-only commands to provide deep project context.
Audits Ruby on Rails applications through the lens of David Heinemeier Hansson's opinionated "The Rails Way" philosophy.
Generates witty and engaging changelogs from GitHub pull requests to keep development teams informed and motivated.
Reviews pull requests with actionable feedback and executes browser-based testing workflows without modifying your source code.
Configures project-specific review agents and automation workflows by auto-detecting your development stack.
Automatically applies code edits to address review findings and resolve pending task items in parallel.
Performs systematic, high-quality code reviews focused on security, performance, and maintainability best practices.
Coordinates multi-agent workflows through shared hivemind memory, task tracking, and file reservation to prevent development conflicts.
Automates the end-to-end GitHub issue lifecycle from initial analysis and contributor profiling to implementation and public credit.
Streamlines GitHub pull request reviews by identifying critical issues, applying fixes, and silencing low-value noise.
Manages agentic work items and issue tracking through a local-first, git-integrated hive system.
Establishes persistent rules and model-specific behaviors for multi-agent swarm coordination and standardized tool usage.
Orchestrates multi-agent workflows through structured task decomposition and conflict-free communication protocols.
Enforces strict behavioral rules and model-specific logic for multi-agent swarm coordination and tool usage.
Conducts rigorous, deep-dive code reviews by coordinating context gathering and delegating to specialized LLM environments via RepoPrompt.
Coordinates rigorous, Carmack-level architecture and implementation plan reviews using the RepoPrompt context builder.
Coordinates high-level architectural reviews of epic plans using external analysis backends like RepoPrompt and Codex.
Coordinates expert-level code reviews using RepoPrompt or Codex to ensure production-grade implementation quality and architectural integrity.
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