collaboration tools Claude 스킬을 발견하세요. 30개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Manage Linear issues, projects, and team workflows directly through natural language commands in Claude.
Streamlines the TYPO3 Core contribution workflow from environment setup to Gerrit patch submission.
Configures and optimizes GitHub repositories with branch protection, CODEOWNERS, and automated dependency management.
Integrates Jira project management directly into your AI development workflow through automated issue tracking, status updates, and work logging.
Manages task ownership and progress tracking within LLM sessions to streamline multi-agent coordination.
Captures and documents UI changes with before-and-after screenshots to streamline visual reviews in pull requests.
Automates bidirectional linking between Jira issues and GitHub pull requests while managing statuses and sprint assignments.
Automates multi-pass code reviews and iterative fixes to ensure production-grade code quality before merging.
Orchestrates subagents to automatically resolve code review findings through sequential, task-based remediation.
Applies the Tit for Tat game theory strategy to optimize outcomes in negotiations, partnerships, and workplace interactions.
Standardizes communication, knowledge sharing, and feedback loops between specialized AI agent groups in a four-tier architecture.
Standardizes the creation of well-documented GitHub issues through automated codebase research and structured markdown templates.
Facilitates end-to-end project planning, risk mitigation, and delivery tracking using Agile, Waterfall, and Hybrid methodologies.
Audits code changes to ensure strict adherence to project-specific instructions and coding standards defined in CLAUDE.md.
Streamlines the creation of professional internal updates, reports, and company newsletters using standardized organizational formats.
Manages issues, projects, and team workflows in Linear directly through the Claude Code environment.
Audits source code to identify over-engineering, premature optimization, and unnecessary cognitive complexity.
Automates the end-to-end lifecycle of implementing GitHub issues, from initial branch creation to final pull request submission.
Orchestrates a multi-agent parallel code review to identify bugs, maintainability issues, and documentation gaps.
Automates the process of fetching, reviewing, and applying fixes to GitHub Pull Request comments using the gh CLI.
Automates meeting preparation by integrating Notion workspace context with AI-driven research and structured agenda templates.
Exports and uploads current chat conversations as formatted markdown attachments to JIRA tickets for documentation and review.
Manages Trello boards, lists, and cards using natural language commands within Claude Code.
Performs rigorous, production-grade code reviews using a specialized 10-category framework focused on logic, correctness, and maintainability.
Transforms high-level feature requirements into atomic, testable, and well-structured backlog tasks following Spec-Driven Development principles.
Audits codebases for DRY violations, dead code, and complexity to ensure long-term software health and consistency.
Transforms Notion-based product requirement documents into actionable implementation plans and tracked tasks.
Consults a multi-model AI council via OpenRouter for advanced code reviews, structured debugging, and architectural brainstorming.
Automates the creation of structured GitHub issues with AI-powered labeling, type detection, and duplicate checking.
Conducts structured code reviews for Pull Requests using a comprehensive quality and standards checklist.
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