lindy-ci-integration
Configure CI/CD pipelines for testing Lindy AI agent integrations. Use when setting up automated testing, configuring GitHub Actions for webhook receiver tests, or validating agent connectivity in CI. Trigger with phrases like "lindy CI", "lindy GitHub Actions", "lindy automated tests", "CI lindy pipeline". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-ci-integration --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 CI Integration ## Overview Lindy agents run on Lindy's managed platform — CI/CD tests your **integration code**: webhook receivers, callback handlers, and application logic that interacts with Lindy agents. Test webhook signature verification, payload processing, and error handling without hitting live Lindy endpoints. ## Prerequisites - GitHub repository with Actions enabled - Lindy API k
What does the lindy-ci-integration skill do?
Configure CI/CD pipelines for testing Lindy AI agent integrations. Use when setting up automated testing, configuring GitHub Actions for webhook receiver tests, or validating agent connectivity in CI. Trigger with phrases like "lindy CI", "lindy GitHub Actions", "lindy automated tests", "CI lindy pipeline". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-ci-integration --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.
