collaboration tools向けのClaudeスキルを発見してください。30個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Standardizes the logging of code review outcomes to enable continuous improvement of AI-driven code analysis and verification.
Streamlines the code review process by drafting reviewer-centric PR descriptions, sizing work appropriately, and automating GitHub CLI submissions.
Generates scannable, outcome-focused progress reports and stakeholder communications with a professional yet warm tone.
Manages GitHub Projects (v2) workflows and items using the GitHub CLI integration.
Optimizes code review accuracy by analyzing feedback logs to identify patterns, reduce false positives, and refine automated review rules.
Provides an autonomous peer engineer subagent to review implementation plans, audit code, and brainstorm technical solutions.
Enables Claude to send interactive questions and receive user responses via Slack for remote task management.
Analyzes React Router v6.4+ implementations to ensure best practices for data loading, mutations, and error handling.
Performs automated code reviews using the Radical Candor framework to provide actionable, tone-aware feedback based on project standards.
Conducts comprehensive Python code reviews to ensure type safety, PEP8 compliance, and efficient asynchronous patterns.
Reviews LangGraph workflows for state management bugs, anti-patterns, and structural integrity issues.
Reduces false positives in code reviews by enforcing a mandatory multi-step verification process before reporting findings.
Processes external code review feedback using a verification-first methodology to ensure technical accuracy before implementation.
Refines complex development plans through multi-round collaborative discussions among specialized AI expert agents.
Automates the complete development lifecycle from Linear issue analysis to pull request creation using a test-driven approach.
Streamlines the configuration and authentication of GitHub Personal Access Tokens for the GitHub MCP server in Claude Code.
Orchestrates multiple specialized AI agents to perform concurrent security, architecture, and performance reviews on code changesets.
Automates the creation and updating of pull requests using conventional commits and detailed AI-generated descriptions.
Optimizes and clarifies Linear task descriptions by analyzing codebase context and generating structured acceptance criteria.
Transforms customer research into actionable product decisions using structured frameworks like JTBD, RICE, and assumption mapping.
Synchronizes SpecWeave software specifications with GitHub Projects and Issues to maintain team visibility and track progress automatically.
Synchronizes SpecWeave development increments with JIRA epics and stories to maintain alignment between documentation and task statuses.
Validates and automatically configures Jira projects and boards within your development environment.
Synchronizes local SpecWeave specifications and tasks with project management tools like GitHub, Jira, and Azure DevOps.
Facilitates expert product discovery and feature ideation using structured frameworks like story mapping, event storming, and data-driven prioritization.
Organizes development specifications and synchronizes tasks across complex multi-project Azure DevOps architectures.
Standardizes GitHub issue creation with checkable acceptance criteria, traceable task links, and consistent metadata for the SpecWeave framework.
Synchronizes SpecWeave development increments with JIRA projects by mapping technical specifications to epics, stories, and subtasks.
Orchestrates complex software development across multiple GitHub repositories by intelligently splitting tasks and maintaining spec traceability.
Manages granular, task-level progress tracking and team collaboration directly within GitHub issues for AI-driven development.
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