collaboration tools Claude 스킬을 발견하세요. 30개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Standardizes GitHub issue creation with structured templates for bugs, features, and project tasks.
Generates and posts detailed implementation plans directly to GitHub issues by analyzing codebase context and issue requirements.
Automates thoughtful responses to GitHub pull request review comments by analyzing codebase context and discussion history.
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.
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 the generation of structured pull request descriptions by analyzing git diffs and commit history.
Transforms project decisions into structured human agreements and specialized AI agent instructions.
Automates the generation of structured GitHub PR summaries and velocity metrics for daily standups and status reports.
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.
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.
Automates the creation of detailed, template-driven pull request descriptions by analyzing git diffs and commit history.
Synthesizes conflicting viewpoints and stakeholder disagreements into cohesive, high-order resolutions using a structured framework.
Transforms vague ideas into well-defined technical requirements through conversational clarification and codebase analysis.
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