Discover Agent Skills for collaboration tools. Browse 30 skills for Claude, ChatGPT & Codex.
Automates the creation and updating of well-formatted GitHub issues directly from development conversations and implementation plans.
Orchestrates a comprehensive code review using 12 specialized AI agents to ensure security, performance, and architectural integrity.
Transforms vague ideas into structured technical specifications and implementation plans through interactive Socratic questioning.
Orchestrates multiple AI models in parallel to provide diverse expert perspectives and synthesized consensus on complex technical decisions.
Performs automated reviews of Clojure and ClojureScript code to ensure compliance with specialized style guides and quality standards.
Automates thorough code reviews using confidence-based filtering to eliminate noise and identify critical bugs, quality issues, and architectural inconsistencies.
Automates the end-to-end pull request lifecycle from staging uncommitted changes to opening detailed draft PRs with integrated QA steps.
Adapts technical communication styles for engineers, product managers, executives, and customers to ensure project alignment.
Facilitates professional collaboration between AI and Business Analysts to produce high-quality user stories and acceptance criteria.
Visualizes user journeys and organizes requirements into actionable release slices using Jeff Patton's User Story Mapping technique.
Designs and optimizes organizational structures using the four fundamental team types and interaction modes from the Team Topologies methodology.
Automates the creation of formatted pull requests and merge requests across GitHub and GitLab platforms.
Automates the creation of structured GitHub pull requests with AI-generated summaries, test plans, and standardized formatting.
Synchronizes pull request and merge request descriptions with the latest code changes to ensure documentation matches current implementation.
Analyzes technical specifications through expert architectural lenses to identify risks, gaps, and missing considerations.
Automates the code review lifecycle by dispatching specialized subagents to identify issues, apply systematic fixes, and verify resolutions.
Fetches and organizes unresolved GitHub pull request review comments to streamline the code review feedback loop.
Interacts with Lark (飞书) to send messages, manage group chats, and monitor events via CLI.
Optimizes GitHub project workflows by caching metadata to prevent API rate limit exhaustion during autonomous development sessions.
Transforms raw feedback and bug reports into thoroughly investigated, prioritized, and well-documented GitHub issues.
Standardizes and mandates GitHub Project board compliance as the definitive source of truth for all development tasks.
Provides quantum-resistant, self-learning version control optimized for multi-agent coordination and lock-free collaboration.
Conducts comprehensive reviews of TypeScript and JavaScript code to ensure type safety, adherence to coding standards, and React best practices.
Provides a critical second opinion on code changes by integrating OpenAI Codex with structured evaluation and categorization.
Registers software symptoms and feature requests directly into the Viban terminal Kanban board using standardized workflows.
Implements a rigorous, verification-first approach to processing code review feedback by prioritizing technical correctness over performative agreement.
Streamlines GitHub repository management, pull requests, and workflow automation directly from the terminal.
Integrates Linear project management capabilities into Claude Code workflows via GraphQL and Python SDK best practices.
Translates user stories and requirements into clean, tested, and maintainable production-grade code.
Manages code review feedback with technical rigor, prioritizing verification and correctness over performative agreement or blind implementation.
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