coderabbit-hello-world
Create a minimal working CodeRabbit configuration and trigger your first AI review. Use when starting with CodeRabbit, testing your setup, or learning basic .coderabbit.yaml patterns. Trigger with phrases like "coderabbit hello world", "coderabbit example", "coderabbit quick start", "first coderabbit review". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill coderabbit-hello-world --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CodeRabbit Hello World ## Overview Minimal working example demonstrating CodeRabbit AI code review. CodeRabbit reviews PRs automatically via a GitHub/GitLab App -- no SDK or API calls needed. You configure behavior through a `.coderabbit.yaml` file and interact via PR comments. ## Prerequisites - CodeRabbit GitHub App installed (see `coderabbit-install-auth`) - A repository with at least one bra
What does the coderabbit-hello-world skill do?
Create a minimal working CodeRabbit configuration and trigger your first AI review. Use when starting with CodeRabbit, testing your setup, or learning basic .coderabbit.yaml patterns. Trigger with phrases like "coderabbit hello world", "coderabbit example", "coderabbit quick start", "first coderabbit review". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill coderabbit-hello-world --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
