lindy-local-dev-loop
Set up local development workflow for testing Lindy AI agent integrations. Use when building webhook receivers, testing agent callbacks, or iterating on Lindy-connected applications locally. Trigger with phrases like "lindy local dev", "lindy development", "test lindy locally", "lindy webhook local". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-local-dev-loop --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.
# Lindy Local Dev Loop ## Overview Lindy agents run on Lindy's managed infrastructure — you do not run agents locally. Local development focuses on building and testing the **webhook receivers**, **callback handlers**, and **application code** that Lindy agents interact with. Use ngrok or similar tunnels to expose local endpoints for Lindy webhook triggers. ## Prerequisites - Node.js 18+ or Python
What does the lindy-local-dev-loop skill do?
Set up local development workflow for testing Lindy AI agent integrations. Use when building webhook receivers, testing agent callbacks, or iterating on Lindy-connected applications locally. Trigger with phrases like "lindy local dev", "lindy development", "test lindy locally", "lindy webhook local". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-local-dev-loop --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.