发现collaboration tools类别的 Claude 技能。浏览 30 个技能,找到适合您 AI 工作流程的完美功能。
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.
Streamlines GitHub pull request reviews by identifying critical issues, applying fixes, and silencing low-value noise.
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.
Manages agentic work items and issue tracking through a local-first, git-integrated hive system.
Automates the end-to-end GitHub issue lifecycle from initial analysis and contributor profiling to implementation and public credit.
Coordinates expert-level code reviews using RepoPrompt or Codex to ensure production-grade implementation quality and architectural integrity.
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.
Conducts rigorous, deep-dive code reviews by coordinating context gathering and delegating to specialized LLM environments via RepoPrompt.
Navigates difficult workplace conversations and delivers constructive feedback using structured Situation-Behavior-Impact (SBI) frameworks.
Provides a structured framework and scripts for navigating workplace conflicts, performance reviews, and sensitive professional discussions.
Manages Jira issues and project workflows directly through natural language commands and automated tool integrations.
Guides developers in crafting clear, effective technical and professional messages for stakeholders and teams.
Orchestrates multiple specialized AI agents to execute complex, parallel development plans through collaborative coordination and role-based assignments.
Manages scientific protocols on protocols.io, enabling discovery, creation, publication, and collaborative lab documentation.
Orchestrates the end-to-end AI-Driven Development Lifecycle (AI-DLC) by synchronizing PM, Developer, and Admin agent roles.
Orchestrates multi-agent workflows for project management and software development using the AI-Driven Development Lifecycle (AI-DLC).
Manages the lifecycle of Chorus plugins and skills, including versioning, hook scripts, and documentation updates.
Launches a dedicated web interface to systematically review, approve, and comment on code, plans, and documents.
Streamlines the resolution of GitHub Pull Request comments by fetching, summarizing, and applying fixes directly through the GitHub CLI.
Identifies discrepancies between documented plans and actual implementation to realign roadmaps with codebase reality.
Manage, search, and automate GitHub issues for the Ark project using standardized agentic patterns.
Enables multi-agent orchestration through a file-based message queue for parallel execution and shared state management.
Provides strategic technical leadership guidance, engineering metrics frameworks, and architecture decision tools for engineering leaders.
Performs expert technical architecture reviews of execution plans to ensure scalability, security, and long-term maintainability.
Standardizes the process of receiving and implementing code review feedback through technical verification rather than blind agreement.
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