collaboration tools向けのClaudeスキルを発見してください。30個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
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.
Automatically applies code edits to address review findings and resolve pending task items in parallel.
Configures project-specific review agents and automation workflows by auto-detecting your development stack.
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.
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.
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.
Conducts rigorous, deep-dive code reviews by coordinating context gathering and delegating to specialized LLM environments via RepoPrompt.
Coordinates expert-level code reviews using RepoPrompt or Codex to ensure production-grade implementation quality and architectural integrity.
Coordinates high-level architectural reviews of epic plans using external analysis backends like RepoPrompt and Codex.
Coordinates rigorous, Carmack-level architecture and implementation plan reviews using the RepoPrompt context builder.
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.
Guides developers in crafting clear, effective technical and professional messages for stakeholders and teams.
Manages Jira issues and project workflows directly through natural language commands and automated tool integrations.
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.
Manages the lifecycle of Chorus plugins and skills, including versioning, hook scripts, and documentation updates.
Orchestrates multi-agent workflows for project management and software development using the AI-Driven Development Lifecycle (AI-DLC).
Orchestrates the end-to-end AI-Driven Development Lifecycle (AI-DLC) by synchronizing PM, Developer, and Admin agent roles.
Launches a dedicated web interface to systematically review, approve, and comment on code, plans, and documents.
Identifies discrepancies between documented plans and actual implementation to realign roadmaps with codebase reality.
Streamlines the resolution of GitHub Pull Request comments by fetching, summarizing, and applying fixes directly through the GitHub CLI.
Manage, search, and automate GitHub issues for the Ark project using standardized agentic patterns.
Standardizes the process of receiving and implementing code review feedback through technical verification rather than blind agreement.
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