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Found 1,283 Skills
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
Review Prisma code for common violations, security issues, and performance anti-patterns found in AI coding agent stress testing. Use when reviewing Prisma Client usage, database operations, or performing code reviews on projects using Prisma ORM.
Guide for collaborating on GitHub projects. This skill should be used when contributing to projects, creating PRs, reviewing code, or managing issues on GitHub.
PR preparation: git archaeology, test validation, structured PR body generation. Mandatory user review gate before submission. Triggers: "prepare PR", "PR prep", "submit PR", "create PR body", "write PR description".
Respond to PR review feedback with maximum transparency. Analyze feedback, get second opinions on non-trivial decisions, post comments documenting every judgment, and implement fixes. All reasoning must be visible in PR comments. Keywords: PR review, code review response, review feedback, address comments, fix review.
Vibe Kanban orchestration platform for AI coding agents: workspaces, sessions, task management, code review, git worktrees, multi-agent support. Keywords: Vibe Kanban, AI agents, Claude Code, Codex, Gemini, kanban board, git worktree, code review, MCP server, workspaces, sessions.
Have Codex CLI review uncommitted code changes. Claude Code then fixes valid issues and rebuts invalid ones. Codex re-reviews. Repeat until consensus. Codex never touches code — it only reviews.
Review UI code for Web Interface Guidelines compliance. Use when asked to review UI, check accessibility, audit design, review UX, or check against best practices.
Pylon MCP tools for pushing plans, code reviews, and pulling human feedback. Use this skill when interacting with the Pylon AI-to-human review bridge.
Systematic workflow for CodeRabbit reviews - local CLI, PR threads, and commit attribution
Engineering operating model for teams where AI agents generate a large share of implementation output.
Reviews Swift code for concurrency correctness, modern API usage, and common async/await pitfalls. Use when reading, writing, or reviewing Swift concurrency code.