collaboration tools Claude 스킬을 발견하세요. 30개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Performs comprehensive GitHub pull request reviews using eight specialized AI agents to analyze security, performance, logic, and design.
Evaluates code review feedback against objective programming principles to help developers determine whether to accept, reject, or negotiate suggestions.
Streamlines the code review process for AI agents by automating review requests and feedback tracking.
Orchestrates a multi-LLM consensus protocol using Claude, OpenAI, and Gemini to validate architectural decisions and perform deep code reviews.
Standardizes the processing of code review feedback by prioritizing technical verification and codebase reality over performative agreement.
Manages Jira issues and project workflows directly from the terminal using the jira-cli integration.
Manages Gitea issues, pull requests, releases, and repositories directly from the command line using the official tea tool.
Bootstraps new project epics by generating standardized tracking documentation and directory structures directly from your PRD.
Conducts deep codebase research and technical impact analysis to scope projects and investigate issues without modifying code.
Integrates Serena MCP to maintain and leverage persistent project context and memories during development tasks.
Reviews code changes from completed task implementations for correctness, completeness, and technical simplicity.
Automates comprehensive code reviews by identifying security flaws, performance bottlenecks, and architectural anti-patterns across multiple programming languages.
Automates addressing pull request feedback and fixing CI failures using parallel Claude workers in isolated git worktrees.
Automates the end-to-end resolution of GitHub issues by spawning autonomous Claude workers in dedicated git worktrees.
Automates the process of addressing GitHub code review feedback and fixing CI pipeline failures using parallel Claude workers.
Synthesizes business context, stakeholder priorities, and project timelines to provide strategic oversight for development teams.
Automates the creation and updating of GitHub pull requests using local story-based documentation files.
Generates comprehensive, data-driven branch narratives and pull request descriptions using multi-agent analysis and performance metrics.
Streamlines Slack communication from the command line using a Python-based messaging interface.
Generates comprehensive project summaries and historical analyses by synthesizing data from archived development tickets.
Defines Minimum Viable Products and builds phased implementation roadmaps using MoSCoW prioritization and dependency mapping.
Automates Pull Request updates by addressing review comments and resolving CI/CD failures using parallel git worktrees.
Enforces rigorous Python development standards, Git conventions, and testing protocols to maintain production-grade code integrity.
Compresses code review outputs into a concise, actionable 20-line format while preserving critical findings and metadata.
Orchestrates a specialized team of AI agents to enforce architectural standards, security gates, and development workflows for the GoGoJap ecosystem.
Manages self-hosted Jira issues using Personal Access Tokens for seamless integration in SSO-enabled enterprise environments.
Automates the code review process by gathering git diffs, dispatching specialized AI reviewers, and generating structured quality reports.
Generates structured GitHub pull request descriptions by analyzing commit history, git diffs, and local task plans.
Standardizes the creation of user stories and epic design documents to streamline Story-driven Development workflows.
Automates Jira ticket creation and management by intelligently inferring projects, types, and priorities from natural language.
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