ideogram-observability
Set up monitoring, metrics, and alerts for Ideogram integrations. Use when implementing observability for Ideogram operations, tracking costs, or configuring alerting for generation health. Trigger with phrases like "ideogram monitoring", "ideogram metrics", "ideogram observability", "monitor ideogram", "ideogram alerts", "ideogram dashboard". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill ideogram-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.
# Ideogram Observability ## Overview Monitor Ideogram AI image generation for latency, cost, error rates, and content safety rejections. Key metrics: generation duration (5-25s depending on model), credit burn rate, safety filter rejection rate, and API availability. Ideogram's API is synchronous, so all observability is request-level instrumentation. ## Key Metrics | Metric | Type | Labels | Aler
What does the ideogram-observability skill do?
Set up monitoring, metrics, and alerts for Ideogram integrations. Use when implementing observability for Ideogram operations, tracking costs, or configuring alerting for generation health. Trigger with phrases like "ideogram monitoring", "ideogram metrics", "ideogram observability", "monitor ideogram", "ideogram alerts", "ideogram dashboard". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill ideogram-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.