> Runs a Greptile CLI review for the current local branch, installing or authenticating the CLI when needed, then summarizes JSON findings for the user. Use when the user wants Greptile feedback before opening a PR, outside a hosted PR review flow, or directly from a local checkout.
npx skills add https://github.com/alvinunreal/lazyskills --skill cli-review
Run a Greptile review from the local checkout and summarize the findings.
Start from the current repository root:
git rev-parse --show-toplevel
If the command fails, tell the user that the Greptile CLI review must be run from a git repository.
Check whether greptile is installed:
command -v greptile
If it is missing, do not install it automatically. Ask the user for permission, then show the recommended install command:
npm i -g greptile
If npm is unavailable, offer the shell installer fallback:
curl -fsSL "https://greptile.com/cli/install" | sh
After installation, re-run command -v greptile.
Check the signed-in account:
greptile whoami
If the CLI reports that authentication is missing, run:
greptile login
Wait for the user to complete the login flow before continuing.
Prefer JSON output:
greptile review --json
If JSON output is unsupported or fails with a usage error, fall back to:
greptile review --agent
Do not hide the raw command failure if both commands fail. Summarize the failing command and the next action the user needs to take.
Parse JSON output when available and report:
When output is plain text, preserve the same structure as much as possible. Keep the summary concise and focused on actionable findings.
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 alvinunreal/cli-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.
The instructions reference npm.
Without those the skill loads but fails at the first command.