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。
Orchestrates subagents to automatically resolve code review findings through sequential, task-based remediation.
Standardizes communication, knowledge sharing, and feedback loops between specialized AI agent groups in a four-tier architecture.
Organizes product development through a structured hierarchy of strategic themes, tactical epics, and operational user stories.
Automates multi-pass code reviews and iterative fixes to ensure production-grade code quality before merging.
Automates the decomposition of project specifications into actionable GitHub issues using AI-driven analysis.
Provides quantum-resistant, self-learning version control optimized for multi-agent coordination and conflict-free concurrent development.
Automates the generation of detailed GitHub pull request descriptions and visual diagrams using Serena and Context7 MCPs.
Manages Trello boards, lists, and cards using natural language commands within Claude Code.
Orchestrates specialized Claude Code agent teams by automatically selecting optimal skills, generating dependency graphs, and managing the full multi-agent development lifecycle.
Lists and filters technical Request for Comments (RFC) documents to track architectural decisions and project progress.
Generates comprehensive, technical Feature Requirement Documents (FRDs) through a structured 12-step interactive session.
Automates comprehensive code reviews within Claude Code to identify security vulnerabilities, logic bugs, and performance bottlenecks.
Manages the lifecycle and state transitions of Request for Comments (RFC) documents directly within your workspace.
Generates standardized Request for Comments (RFC) documents with automated numbering and directory management to streamline technical decision-making.
Automates meeting preparation by integrating Notion workspace context with AI-driven research and structured agenda templates.
Automates the process of fetching, reviewing, and applying fixes to GitHub Pull Request comments using the gh CLI.
Generates detailed multi-agent engineering plans with automated task orchestration and dependency mapping for complex software projects.
Lists and tracks technical specifications across various development stages with status-based filtering and metadata extraction.
Automates Slack workspace interactions including messaging, channel management, and content retrieval for AI agents.
Automates Discord interactions for AI agents by sending messages, reading channels, and managing server data through a command-line interface.
Performs automated pull request analysis, security scanning, and quality checks across multiple programming languages including Python, TypeScript, and Go.
Initiates a comprehensive, interactive product strategy workshop to validate ideas and generate professional documentation.
Enables AI agents to interact with Microsoft Teams for messaging, channel management, and automated collaboration workflows.
Manages Product Requirement Document transitions and metadata through the entire development lifecycle.
Automates the integration, testing, and validation of code developed by multiple parallel AI agents to ensure architectural consistency.
Integrates Jira issue tracking and Confluence documentation directly into AI coding environments for seamless project management.
Exports and uploads current chat conversations as formatted markdown attachments to JIRA tickets for documentation and review.
Automates the end-to-end implementation of GitHub Issues from branch creation and TDD coding to PR submission and status synchronization.
Streamlines the creation of professional internal updates, reports, and company newsletters using standardized organizational formats.
Consults a multi-model AI council via OpenRouter for advanced code reviews, structured debugging, and architectural brainstorming.
Scroll for more results...