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。
Orchestrates multiple AI models in parallel to provide diverse expert perspectives and synthesized consensus on complex technical decisions.
Automates the end-to-end pull request lifecycle from staging uncommitted changes to opening detailed draft PRs with integrated QA steps.
Automates the end-to-end process of reviewing code, fixing identified issues, running quality gates, and opening pull requests.
Automates thorough code reviews using confidence-based filtering to eliminate noise and identify critical bugs, quality issues, and architectural inconsistencies.
Captures comprehensive debugging context and automates GitHub issue creation for seamless error tracking in Claude Code.
Automates the identification and resolution of review comments on GitHub Pull Requests using the GitHub CLI.
Converts conversations and technical notes into structured, linkable Notion pages and team wikis.
Navigates difficult workplace conversations and delivers constructive feedback using the Situation-Behavior-Impact (SBI) framework and structured communication models.
Automates comprehensive code analysis to ensure high standards of security, performance, and architectural integrity.
Defines and evolves team interaction modes using Team Topologies principles to optimize organizational flow and communication.
Systematically addresses GitHub pull request review comments with mandatory resolution tracking and commit linking.
Automates the creation and updating of well-formatted GitHub issues directly from development conversations and implementation plans.
Transforms vague ideas into structured technical specifications and implementation plans through interactive Socratic questioning.
Provides quantum-resistant, self-learning version control optimized for multi-agent coordination and lock-free collaboration.
Generates professional, standardized Pull Requests by analyzing branch differences and project-specific templates.
Automates the creation of standardized, high-quality Pull Requests for Blocklet projects with integrated quality gates and versioning.
Conducts comprehensive reviews of TypeScript and JavaScript code to ensure type safety, adherence to coding standards, and React best practices.
Optimizes GitHub project boards by normalizing issue metadata and maintaining a deterministic, high-signal priority queue.
Adapts technical communication styles for engineers, product managers, executives, and customers to ensure project alignment.
Facilitates professional collaboration between AI and Business Analysts to produce high-quality user stories and acceptance criteria.
Visualizes user journeys and organizes requirements into actionable release slices using Jeff Patton's User Story Mapping technique.
Designs and optimizes organizational structures using the four fundamental team types and interaction modes from the Team Topologies methodology.
Automates the code review lifecycle by dispatching specialized subagents to identify issues, apply systematic fixes, and verify resolutions.
Automates the creation of structured GitHub pull requests with AI-generated summaries, test plans, and standardized formatting.
Interacts with Lark (飞书) to send messages, manage group chats, and monitor events via CLI.
Audits repositories for product standard compliance and automatically logs missing requirements as P1 GitHub issues.
Scaffolds enterprise-grade Slack applications using Bolt for JavaScript and the Slack CLI for rapid development and deployment.
Systematically resolves code review findings by applying Test-Driven Development for fixes and automating GitHub issue creation for deferred items.
Integrates Linear project management capabilities into Claude Code workflows via GraphQL and Python SDK best practices.
Orchestrates interactive, research-driven backlog grooming to transform project vision into prioritized, high-quality GitHub issues.
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