Summary
This is an overnight CI pipeline for the vercel-plugin project. It spins up nine realistic projects (recipe platform, trivia game, code review bot), exercises skill injection through claude --print, verifies dev servers actually boot, then diffs which skills were expected versus which actually got injected. The output is a machine-readable report with copy-pasteable YAML fixes for missing patterns. Run it in a loop with sleep 3600 between iterations and you get a self-improvement cycle that shows exactly which gaps closed since the last run. Honestly feels like internal tooling that escaped into the wild, but if you're building a Claude plugin with similar injection logic, the contracts (run-manifest.json, events.jsonl) are worth stealing.
Install to Claude Code
npx -y skills add vercel-labs/vercel-plugin --skill benchmark-e2e --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
Select a file.
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
