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。
Monitors project completion rates and identifies development blockers using GitHub issue data to ensure timely software delivery.
Audits Deep Agents implementations for configuration errors, architectural anti-patterns, and performance bottlenecks.
Guides the migration from directory-based component planning to GitHub-integrated project management workflows.
Conducts structured code reviews of Pull Requests using comprehensive checklists for quality, testing, and project-specific standards.
Reviews LangGraph workflows for state management bugs, anti-patterns, and structural integrity issues.
Optimizes code review accuracy by analyzing feedback logs to identify patterns, reduce false positives, and refine automated review rules.
Processes external code review feedback using a verification-first methodology to ensure technical accuracy before implementation.
Streamlines GitHub project management using native sub-issue hierarchies, label-driven status tracking, and optional Project v2 visualizations.
Generates context-aware code review checklists tailored to specific file types and programming languages including Mojo and Python.
Addresses GitHub Pull Request review comments by implementing requested code changes and providing automated replies to reviewers.
Automates replies to inline GitHub pull request review comments using the correct GitHub API endpoints.
Creates GitHub pull requests that are automatically linked to specific issues for streamlined project tracking and automation.
Validates pull request status by checking CI pipelines, review approvals, and merge conflicts before finalizing changes.
Extracts comprehensive context from GitHub issues including comments, labels, and linked pull requests to inform implementation decisions.
Performs comprehensive pull request reviews by analyzing code changes, CI status, and adherence to project standards.
Enables Claude to send interactive questions and receive user responses via Slack for remote task management.
Standardizes the logging of code review outcomes to enable continuous improvement of AI-driven code analysis and verification.
Retrieves and filters review comments from GitHub pull requests to streamline code feedback management.
Provides legacy support for regenerating GitHub issues from plan files, now deprecated in favor of direct GitHub integration.
Streamlines the creation, validation, and distribution of custom Claude skills across Slack for team-wide discovery and collaboration.
Transforms customer research into actionable product decisions using structured frameworks like JTBD, RICE, and assumption mapping.
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.
Facilitates strategic product planning and feature prioritization using industry-standard frameworks like RICE, MoSCoW, and Kano.
Coordinates a specialized multi-agent ecosystem to manage complex software development lifecycles from strategy to deployment.
Synchronizes SpecWeave development increments with Azure DevOps work items including Epics, Features, and User Stories.
Synchronizes SpecWeave development increments with Azure DevOps work items for seamless bidirectional project tracking.
Identifies and configures multi-repository architectures to streamline development across frontend, backend, and shared codebases.
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