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。
Translates user stories and requirements into clean, tested, and maintainable production-grade code.
Systematically resolves code review findings by applying Test-Driven Development for fixes and automating GitHub issue creation for deferred items.
Orchestrates interactive, research-driven backlog grooming to transform project vision into prioritized, high-quality GitHub issues.
Scaffolds enterprise-grade Slack applications using Bolt for JavaScript and the Slack CLI for rapid development and deployment.
Automates the creation and formatting of GitHub pull requests following repository-specific standards and commit styles.
Implements spec-driven development using persistent filesystem state to manage complex coding tasks and multi-step workflows.
Audits user onboarding experiences and automatically generates prioritized, structured GitHub issues for identified UX gaps.
Automates the pull request feedback lifecycle by categorizing comments, seeking second opinions, and documenting every technical decision publicly.
Clarifies what to build and why through interactive product discovery, research agents, and automated specification generation.
Implements a rigorous, verification-first approach to processing code review feedback by prioritizing technical correctness over performative agreement.
Provides adversarial code reviews by channeling industry legends to identify architectural flaws, complexity, and design smells.
Registers software symptoms and feature requests directly into the Viban terminal Kanban board using standardized workflows.
Optimizes GitLab development workflows by translating GitHub patterns into native glab CLI commands and Merge Request management.
Conducts professional code reviews on pull requests using personalized style and technical precision.
Audits repositories for product standard compliance and automatically logs missing requirements as P1 GitHub issues.
Provides quantum-resistant, self-learning version control optimized for multi-agent coordination and lock-free collaboration.
Reviews TypeScript and React code to identify security vulnerabilities, type safety issues, performance bottlenecks, and accessibility gaps.
Provides seamless access to GitLab REST and GraphQL APIs using the glab CLI for project automation and data retrieval.
Analyzes technical specifications through expert architectural lenses to identify risks, gaps, and missing considerations.
Synchronizes pull request and merge request descriptions with the latest code changes to ensure documentation matches current implementation.
Launches a visual GitHub-style diff viewer to review code changes and apply targeted improvements based on your feedback.
Transforms brief bug reports and feature requests into detailed, actionable technical specifications for developers and AI agents.
Fetches and organizes unresolved GitHub pull request review comments to streamline the code review feedback loop.
Manages Linear issues, projects, and team backlogs through streamlined terminal-based workflows.
Transforms raw feedback and bug reports into thoroughly investigated, prioritized, and well-documented GitHub issues.
Deep-validates GitHub issues against your codebase to detect implemented features, stale references, and linked pull requests.
Standardizes and mandates GitHub Project board compliance as the definitive source of truth for all development tasks.
Audits and cleans up GitHub issue backlogs by identifying stale tasks, orphaned blockers, and implemented features through codebase-aware analysis.
Optimizes GitHub project workflows by caching metadata to prevent API rate limit exhaustion during autonomous development sessions.
Orchestrates a multi-agent AI development team to architect, implement, and review complex software projects with automated quality gates.
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