Monitor
A universal collection of reusable Loop Engineering kits for AI coding agents—not just prompts. Each kit combines Skills, Rules, Templates, workflows, and validation loops to help agents autonomously plan, execute, verify, fix, and improve engineering tasks.
npx -y skills add KhaiTrang1995/agentic-awesome-kits --skill monitorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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- 22 days oldThe repository was created 22 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
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What its author says it does
Copied from the file, not written here
Generate monitoring config — Prometheus alert rules, Grafana dashboard JSON, ServiceMonitor.
SKILL.md
1.0 KB, as published. Nobody here has run it
/monitor — Generate Monitoring Config
Input examples
/monitor container-api --alerts --dashboard
/monitor container-api --slo 99.9
/monitor --alerts entire namespace prod
Output
monitoring/
{app}/
prometheus-rules.yaml ← Alert rules
servicemonitor.yaml ← Scrape config
grafana-dashboard.json ← Dashboard
Sample alert rules
- HighErrorRate: error rate > 1% over 5 minutes
- HighLatency: p99 > 1s over 5 minutes
- PodCrashLoop: restarts > 3 times in 10 minutes
- HighMemory: memory > 90% of limit
- HighCPU: CPU > 80% of limit sustained for 10 minutes
Dashboard panels
- Request rate (req/s)
- Error rate (%)
- Latency percentiles (p50, p95, p99)
- CPU / Memory usage
- Pod count (ready vs desired)
References
- @.claude/rules/k8s-conventions.md
Gives 0 of the 12 instructions most monitoring observability skills give
Counted across 481 of the 483 authors here whose files we hold, read 2026-08-06
- link every alert to a runbookin 43 of 481, across 35 files
- use structured json loggingin 36 of 481, across 31 files
- alert on user-facing symptomsin 20 of 481, across 15 files
- emit structured JSON logs with stable event namesin 18 of 481, across 13 files
- propagate trace context across boundariesin 16 of 481
- use histograms for latency trackingin 14 of 481, across 9 files
- use OpenTelemetry for distributed tracingin 13 of 481, across 8 files
- include a correlation ID on every log linein 13 of 481, across 8 files
- Define service level objectivesin 10 of 481, across 7 files
- Call useAzureMonitor before importing other modulesin 9 of 481, across 2 files
- stop and ask for clarification if inputs are missingin 9 of 481, across 2 files
- define on-call questions before adding telemetryin 9 of 481, across 4 files
Said here and by no other author read
- Generate ServiceMonitor scrape config.
- Write monitoring files to a monitoring directory.
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.