Discover Agent Skills for collaboration tools. Browse 30skills for Claude, ChatGPT & Codex.
Automates and standardizes the process of requesting high-quality AI code reviews using specialized subagents and git integration.
Standardizes the evaluation and implementation of code review feedback using technical rigor rather than performative agreement.
Manages Jira tickets directly from the terminal, including status transitions, ticket linking, and work logging using natural language.
Verifies AI agent work through collaborative review and proof-of-work artifacts within a central management interface.
Standardizes and automates team development workflows through git branching strategies, code review management, and release automation.
Analyzes source code for quality, complexity, and best practices to provide detailed improvement reports and refactoring suggestions.
Enforces architectural standards and decision-making consistency by checking Arbtr for established patterns before modifying codebases.
Streamlines project management workflows within Claude Code using MCP integration and hybrid AI agents.
Leverages the Codex MCP server to perform deep code reviews, technical research, and automated documentation generation with full project context.
Manages Azure DevOps work items and project backlogs directly through the Azure CLI.
Generates comprehensive, template-based pull request descriptions by analyzing code diffs and implementation plans.
Orchestrates the architectural planning phase by synthesizing research findings into structured, pattern-based design documents.
Performs comprehensive Ruby and Rails code reviews based on industry best practices and automated analysis tools.
Elevates pull request quality with structured feedback frameworks, security checklists, and language-specific review patterns.
Performs systematic engineering-grade code reviews covering security, performance, logic, and architectural best practices.
Manages iMessage and SMS communication directly from the terminal, enabling chat history retrieval and message sending.
Refines architecture and design documents through a systematic, section-by-section validation process that separates change documentation from final rewriting.
Manages local-first issue tracking and task lifecycles using the Hive system for AI-driven development workflows.
Refines software design documents by incorporating user feedback, resolving open questions, and conducting deep-dive technical research.
Coordinates multi-agent workflows to parallelize complex coding tasks and manage synchronized file edits.
Automates the decomposition of large code changes into atomic, dependency-ordered Pull Requests using git worktrees.
Manages GitHub issue triage with automated contributor profile extraction and social credit attribution.
Streamlines GitHub pull request management by prioritizing critical fixes and resolving low-impact feedback silently.
Coordinates multi-agent workflows using task decomposition, file reservations, and an embedded messaging system for complex parallel coding tasks.
Standardizes Linear issues into AI-parseable Product Requirements Documents with structured templates and validation rules.
Automates professional code reviews, technical research, and documentation generation by leveraging the Codex MCP server with deep project context.
Transforms raw innovation project updates into polished, audience-specific communications for stakeholders and executives.
Transforms raw innovation ideas and messy notes into standardized, actionable backlog entries with clear success metrics.
Orchestrates multi-agent AI code reviews using specialized security, architectural, and logic auditors to ensure production-grade code quality.
Integrates iMessage and SMS capabilities into the command line to manage chats, view history, and send media via the macOS Messages app.
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