collaboration tools Claude 스킬을 발견하세요. 30개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Automates the code review lifecycle by dispatching specialized subagents to identify issues, apply systematic fixes, and verify resolutions.
Streamlines agile implementation workflows by automating sprint planning, epic breakdown, and velocity tracking.
Generates comprehensive product requirements documents and technical specifications to bridge the gap between vision and development.
Transforms vague ideas into structured technical specifications and implementation plans through interactive Socratic questioning.
Interacts with Lark (飞书) to send messages, manage group chats, and monitor events via CLI.
Provides a critical second opinion on code changes by integrating OpenAI Codex with structured evaluation and categorization.
Registers software symptoms and feature requests directly into the Viban terminal Kanban board using standardized workflows.
Automates the creation and formatting of GitHub pull requests following repository-specific standards and commit styles.
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.
Provides adversarial code reviews by channeling industry legends to identify architectural flaws, complexity, and design smells.
Audits user onboarding experiences and automatically generates prioritized, structured GitHub issues for identified UX gaps.
Clarifies what to build and why through interactive product discovery, research agents, and automated specification generation.
Automates the pull request feedback lifecycle by categorizing comments, seeking second opinions, and documenting every technical decision publicly.
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.
Translates user stories and requirements into clean, tested, and maintainable production-grade code.
Optimizes GitLab development workflows by translating GitHub patterns into native glab CLI commands and Merge Request management.
Implements spec-driven development using persistent filesystem state to manage complex coding tasks and multi-step workflows.
Deep-validates GitHub issues against your codebase to detect implemented features, stale references, and linked pull requests.
Audits and cleans up GitHub issue backlogs by identifying stale tasks, orphaned blockers, and implemented features through codebase-aware analysis.
Orchestrates a multi-agent AI development team to architect, implement, and review complex software projects with automated quality gates.
Orchestrates multiple external AI models to provide consensus-driven code reviews, architectural planning, and adversarial analysis.
Establishes standardized evaluation frameworks and multi-model expertise weights for multi-agent code review systems.
Prioritizes GitHub issues using a weighted dependency graph to recommend the most impactful tasks for your next development cycle.
Implements a rigorous, verification-first approach to processing code review feedback by prioritizing technical correctness over performative agreement.
Conducts professional code reviews on pull requests using personalized style and technical precision.
Optimizes GitHub interactions by leveraging the gh CLI for repository management, pull requests, and CI/CD monitoring.
Automates the complete lifecycle of solving software issues by fetching context, planning changes, and submitting pull requests for GitHub, Linear, and GitLab.
Automates the creation of formatted pull requests and merge requests across GitHub and GitLab platforms.
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