ai-orchestration
Multi-model AI collaboration via orchestrator MCP. Use when seeking second opinions, debugging complex issues, building consensus on architectural decisions, conducting code reviews, or needing external validat...
Skills matching the name, description or GitHub author.
Multi-model AI collaboration via orchestrator MCP. Use when seeking second opinions, debugging complex issues, building consensus on architectural decisions, conducting code reviews, or needing external validat...
Patterns for delegating tasks to Codex CLI (GPT 5.2) experts including bug analysis, code review, and plan revision via the mcp__codex__codex tool.
This skill should be used when classifying issues, findings, or code review problems with severity levels. Triggers on requests like "classify severity", "what is P1/P2/P3", "determine issue priority".
Behavioral workflows and collaboration patterns for code review, agent coordination, and branch management. Use this skill when coordinating multi-agent work, managing code review processes, completing feature...
Use when working with CodeRabbit AI code review. Covers triggering reviews, interpreting feedback, addressing comments, and PR workflow integration.
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation,...
Orchestrates the Code Review process (Analysis -> Fix -> Reply/Close). Manages the workflow by invoking specialized sub-skills like code-review-analysis, tdd-refactoring, and tdd-audit. Used for (1) addressing...
Implementation orchestration skill for executing code changes. Use when user has a plan and wants to implement features, bug fixes, or code changes. Requires plan/context from user. Handles VCS, TDD with Aegis...
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their wor...
Spawn parallel Claude Code sessions on git worktrees to review multiple projects simultaneously. Use when you have a monorepo or multi-project repo and want to run automated code reviews in parallel without man...
Code review workflow with TODO tracking. Use when user says "review", "review-workflow", or asks to review code, PRs, or changes.
Comprehensive multi-AI consensus workflow for: 1. CODE REVIEW - Clinical/technical review following SOP with TODO.md/IDEAS.md tracking 2. ANALYSIS PLANNING - Statistical/bioinformatic analysis plans saved to an...
Orchestrates complex or architectural code changes through a structured workflow. Use when the user requests multi-file changes, new features, architectural refactoring, database schema changes, new API endpoin...
Expert Python engineering for code review, quality improvement, and debugging. Use when reviewing Python code for best practices, refactoring for cleaner code, debugging errors, improving type safety with type...
AI-assisted pair programming with multiple modes (driver/navigator/switch), real-time verification, quality monitoring, and comprehensive testing. Supports TDD, debugging, refactoring, and learning sessions. Fe...
This skill should be used when the user asks to "triage an issue", "evaluate a feature request", "should I accept this issue", "analyze GitHub issue", "review this pull request", "review this PR", "should I mer...
Expert code review for Python, microservices, security, and production best practices. Automatically activated when code review is needed to identify bugs, security issues, and quality problems.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
Monitor PR for code review, analyze feedback with AI, implement fixes, and merge when approved with CI green.
How to track our work through commits, pull-requests, and pushes. Maintain proper git hygiene in our chaotic, multi-agent environment through atomic commits, with the option to have code reviewed by AI agents w...
AI-powered unified development orchestrator combining debugging, refactoring, performance optimization, code review, testing integration, and profiling into comprehensive development workflows with Context7 int...
Use the Google Gemini CLI to get a second opinion on code, architecture, and UI/UX work. Trigger when a user asks to consult Gemini, wants an external critique, or requests UI feedback, design alternatives, or...
Use when interacting with GitHub repositories, branches, or PRs. Automatically triggered for PR viewing, code review, and repo inspection tasks.
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