Set up comprehensive observability for Ideogram integrations with metrics, traces, and alerts. Use when implementing monitoring for Ideogram operations, setting up dashboards, or configuring alerting for Ideogram integration health. Trigger with phrases like "ideogram monitoring", "ideogram metrics", "ideogram observability", "monitor ideogram", "ideogram alerts", "ideogram tracing".
Install with Tessl CLI
npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill ideogram-observability83
Quality
77%
Does it follow best practices?
Impact
98%
4.90xAverage score across 3 eval scenarios
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/saas-packs/ideogram-pack/skills/ideogram-observability/SKILL.mdTypeScript metric instrumentation
Duration histogram name
0%
100%
Model label default
0%
70%
Generations counter name
0%
100%
Success/error status label
0%
100%
Credits counter name
0%
100%
Credits fallback value
0%
100%
Safety rejections counter
0%
100%
Safety log truncation
100%
100%
API call structure
0%
100%
Duration measurement method
0%
100%
Without context: $0.2634 · 1m 22s · 15 turns · 20 in / 4,242 out tokens
With context: $0.3610 · 1m 18s · 20 turns · 183 in / 4,096 out tokens
Prometheus alert rule configuration
Alert group name
0%
100%
Slow alert name
0%
100%
Slow alert metric
33%
100%
Slow alert window
0%
100%
Slow alert threshold
0%
100%
Credit burn alert name
0%
100%
Credit burn threshold
0%
70%
Low credits alert name and threshold
0%
100%
Rejection rate alert name
0%
100%
Rejection rate expression
22%
100%
Without context: $0.2400 · 1m 28s · 10 turns · 15 in / 4,768 out tokens
With context: $0.3278 · 1m 27s · 19 turns · 184 in / 4,219 out tokens
Credit monitoring script and dashboard design
Script safety flags
100%
100%
Correct API endpoint
0%
100%
Api-Key header
100%
100%
Credits remaining field
0%
100%
Daily average calculation
0%
100%
Days remaining formula
16%
100%
Dashboard: generation volume by model
100%
100%
Dashboard: latency distribution
100%
100%
Dashboard: V_2 vs V_2_TURBO comparison
41%
100%
Dashboard: safety rejection rate panel
0%
100%
Without context: $0.2941 · 1m 46s · 12 turns · 14 in / 6,000 out tokens
With context: $0.2853 · 1m 20s · 17 turns · 54 in / 3,965 out tokens
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.