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 multiple AI agents for parallel codebase analysis using shared claudemem output to maximize efficiency and depth.
Automates the creation of structured GitHub issues following TDD principles and Conventional Commit standards.
Automates the end-to-end process of fixing GitHub issues using isolated git worktrees and Test-Driven Development (TDD).
Automates the creation of high-quality GitHub pull requests by performing comprehensive validation, security scanning, and conventional commit enforcement.
Performs fast, multi-layered code assessments using specialized AI agents to ensure architectural integrity, security, and logic correctness.
Conducts multi-stage, specialized code reviews by orchestrating technical lead, security, and logic subagents for comprehensive audits.
Automates the generation of professional internal reports, newsletters, and updates following standardized corporate formats.
Orchestrates multi-agent workflows by decomposing complex tasks into parallel subtasks and managing secure agent communication.
Executes parallel code reviews across multiple AI models to provide consensus-driven analysis and performance metrics.
Manages Jira tickets, backlogs, and issue transitions directly through natural language commands within Claude.
Configures and manages a dual-agent workflow between Project Manager and implementation roles for autonomous software development.
Automates the transition from implementation to project management roles by generating comprehensive completion reports and syncing project plans.
Orchestrates a two-agent development workflow by syncing brainstormed plans between Claude Code and Cursor for PM validation.
Enhances code reviews by integrating OpenAI Codex as an MCP server to provide expert second opinions on code quality, security, and architecture.
Orchestrates multi-agent code reviews to provide comprehensive security, performance, quality, and testing analysis.
Automates the creation and validation of comprehensive Product Requirements Documents (PRDs) within the Claude Code environment.
Manages a persistent project knowledge graph to capture architectural decisions, pitfalls, and task context for long-running AI coding sessions.
Conducts systematic code reviews using structured patterns to identify anti-patterns, security risks, and technical debt while providing constructive feedback.
Manages Linear issues, teams, and projects directly from the command line using the Linear CLI and GraphQL API.
Streamlines product discovery and backlog management using AI-driven competitor research and the WINNING prioritization framework.
Automates the creation of GitHub pull requests with AI-generated titles and concise summaries.
Automatically fetches and resolves GitHub pull request review comments to streamline the code review cycle.
Systematically processes and implements code review feedback using a structured, task-based workflow.
Generates interactive HTML timelines and project roadmaps featuring Gantt charts, milestones, and progress tracking.
Guides project ideation through Socratic questioning and structured constraint analysis to create comprehensive project briefs.
Transforms project specifications into comprehensive implementation plans featuring system architecture, task breakdowns, and sprint schedules.
Transforms ephemeral Pull Request discussions into persistent, searchable institutional memory within project memory palaces.
Streamlines product roadmapping by inventorying features and applying evidence-based prioritization frameworks like RICE, WSJF, and Kano scoring.
Integrates OpenAI Codex as an MCP server to provide multi-perspective, second-opinion code reviews within the Claude Code environment.
Decomposes complex epics and features into actionable, parallelizable backlog tasks with clear dependency mapping.
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