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Found 15 Skills
Automated AI-powered code review that runs on git hooks with progressive disclosure design. Use when setting up automated code review for a project, installing git hooks for code review, creating or modifying review rules, or configuring review behavior. Triggers on requests like "set up AI code review", "install review hooks", "create review rules", or "configure code reviewer".
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
Review and resolve PR issues with Qodo - get AI-powered code review issues and fix them interactively (GitHub, GitLab, Bitbucket, Azure DevOps)
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, C
Invokes Codex CLI as a second opinion. Use for reviewing plans, code, architectural decisions, or getting an independent perspective from OpenAI's reasoning models.
Use the @steipete/oracle CLI to bundle a prompt plus the right files and get a second-model review (API or browser) for debugging, refactors, design checks, or cross-validation.
Debate implementation plans between Claude Code and Codex CLI. After Claude Code creates a plan, invoke this skill to have Codex review it. Both AIs debate through multiple rounds until reaching full consensus before implementation begins.
Generate production-ready REVIEW.md and AGENTS.md files for Devin Review's AI code review system. Use this skill whenever the user mentions Devin Review, REVIEW.md, Devin code review setup, PR review instructions for Devin, AI code review configuration for Devin, or wants to create instruction files that Devin's Bug Catcher uses. Also trigger when someone says "set up Devin review", "configure Devin for our repo", "create review rules for Devin", or asks about REVIEW.md / AGENTS.md — even if they don't say "Devin" explicitly but describe wanting AI-powered PR review instructions that work with Devin's auto-review or Bug Catcher.
AI-powered code review via the OpenAI Codex CLI. This skill should be used when reviewing branch diffs before merging a PR, auditing uncommitted changes during development, inspecting a specific commit, performing custom-scoped reviews, or whenever changes touch security-sensitive paths or exhibit risky patterns.
Orchestrate comprehensive code review across ~12 AI reviewers. 5 persona reviewers (Grug, Carmack, Ousterhout, Beck, Fowler) via Moonbridge, 4 domain specialists (security-sentinel MANDATORY, performance, data integrity, architecture) via Task, plus hindsight-reviewer and synthesis. Use when: code review, PR review, pre-merge quality check.
Bootstrap a local AI review pipeline and generate a paste-ready review prompt for any provider (Codex, Gemini, GPT, Claude, etc.). Use after creating a handoff or when ready to get an AI code review.
Use when reviewing or scoring AI-generated business/application code quality in any language, especially when a numeric score, risk level, or must-fix checklist is requested, or when C++ code must comply with OpenHarmony C++ and security standards