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。
Guides solo founders in building, launching, and scaling engaged user communities to drive product retention and reduce support overhead.
Guides non-technical founders through sourcing, vetting, and managing technical talent while identifying when to use AI tools instead.
Executes parallel external agent reviews using Codex and Gemini to critically verify and improve project stories and tasks.
Manages a persistent project knowledge graph to capture architectural decisions, pitfalls, and task context for long-running AI coding sessions.
Enables real-time communication, monitoring, and orchestration between multiple AI agents across different terminal sessions.
Conducts systematic code reviews using structured patterns to identify anti-patterns, security risks, and technical debt while providing constructive feedback.
Manages Linear issues, teams, and projects directly from the command line using the Linear CLI and GraphQL API.
Generates professional executive presentations by performing deep analysis of Git repositories to extract business value from technical deliveries.
Parallelizes software implementation by orchestrating specialized AI agent teams for concurrent module development.
Streamlines product discovery and backlog management using AI-driven competitor research and the WINNING prioritization framework.
Automates the creation of GitHub pull requests with AI-generated titles and concise summaries.
Automatically fetches and resolves GitHub pull request review comments to streamline the code review cycle.
Generates interactive HTML timelines and project roadmaps featuring Gantt charts, milestones, and progress tracking.
Systematically processes and implements code review feedback using a structured, task-based workflow.
Generates comprehensive technical design documents and RFCs by synthesizing codebase research into actionable implementation plans.
Evaluates Claude Code agent team sessions to provide performance scores, actionable optimization advice, and improved prompts based on official best practices.
Transforms project specifications into comprehensive implementation plans featuring system architecture, task breakdowns, and sprint schedules.
Guides project ideation through Socratic questioning and structured constraint analysis to create comprehensive project briefs.
Transforms ephemeral Pull Request discussions into persistent, searchable institutional memory within project memory palaces.
Streamlines product roadmapping by inventorying features and applying evidence-based prioritization frameworks like RICE, WSJF, and Kano scoring.
Posts structured development updates, deployment notifications, and bug fixes directly to Google Chat Spaces via webhooks.
Decomposes complex epics and features into actionable, parallelizable backlog tasks with clear dependency mapping.
Integrates OpenAI Codex as an MCP server to provide multi-perspective, second-opinion code reviews within the Claude Code environment.
Automates agile backlog grooming by prioritizing tasks, mapping dependencies, and generating worker-ready prompts for streamlined execution.
Conducts a multi-perspective adversarial review of code, plans, and pull requests to assess risk, value, and feasibility.
Automates the creation of GitHub pull requests following Sentry's standardized engineering practices and naming conventions.
Automates the process of resolving CI failures and addressing code review feedback until a pull request is ready for merge.
Performs professional code reviews based on Sentry's engineering practices to ensure security, performance, and architectural integrity.
Synchronizes comprehensive GitHub pull request data, including descriptions, CI status, and reviewer feedback, into your Claude session.
Syncs Claude's environment with GitLab merge request details to provide context-aware code reviews and implementation guidance.
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