lindy-observability
Monitor Lindy AI agent health, task success rates, and credit consumption. Use when setting up monitoring, building dashboards, configuring alerts, or tracking agent performance over time. Trigger with phrases like "lindy monitoring", "lindy observability", "lindy metrics", "lindy logging", "lindy dashboard". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-observability --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 Observability ## Overview Monitor Lindy AI agent execution health, task completion rates, step-level failures, trigger frequency, and credit consumption. Lindy provides built-in task history in the dashboard. External observability requires webhook callbacks, the Task Completed trigger, and application-side metrics collection. ## Prerequisites - Lindy workspace with active agents - For ext
What does the lindy-observability skill do?
Monitor Lindy AI agent health, task success rates, and credit consumption. Use when setting up monitoring, building dashboards, configuring alerts, or tracking agent performance over time. Trigger with phrases like "lindy monitoring", "lindy observability", "lindy metrics", "lindy logging", "lindy dashboard". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill lindy-observability --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.