Run an independent peer review via Claude. Use when the user asks to \"peer review\", \"peer review my code\", \"peer review my plan\", \"peer review my spec\", \"peer review my shells\", \"get a second opinion\", or \"independent review\".
npx skills add https://github.com/tobihagemann/turbo --skill peer-review
Independent peer review via Claude. Translates a natural-language review request into a Claude-specific prompt so invocations stay implementation-agnostic.
Extract from the current context:
If no reviewable material is available, stop and state that material is required.
Assemble a prompt for Claude:
$claude-print SkillRun $claude-print in read-only mode with the assembled prompt.
Compare Claude's output against the reviewed material and the dimensions and structure requested in Step 2, then classify it into one of three branches:
request_user_input to ask the user whether to retry peer review now (transient Claude errors like usage limits often clear within minutes) or proceed with the partial findings. State what is missing so the user can decide."request_user_input to ask the user whether to retry peer review now (transient Claude errors like usage limits often clear within minutes) or proceed without peer review."Do not synthesize peer findings locally to fill a gap. Peer review's value is independence; locally written findings labeled "peer" mislead the consumer.
Then call update_plan to mark this step completed and continue with the next step of the active workflow.
$peer-review is the stable abstraction. Pipeline skills should not call $claude-print directly unless they need raw Claude print-mode behavior.Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - creates isolated git worktrees with smart directory selection and safety verification
Take tobihagemann/turbo-peer-review from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.