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Telemetry

Skill v0idOS/performance-deity/skills/telemetry

A ruthlessly strict algorithmic optimization methodology for AI coding agents. Forces your agent to profile, benchmark, and mathematically prove performance gains before writing code.

Install
npx -y skills add v0idOS/performance-deity --skill telemetry

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What its author says it does

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Add production observability to a function. Wraps it in an OpenTelemetry or Sentry trace span, injects execution metadata, and proposes a concrete alert rule with threshold and severity.

SKILL.md

1.3 KB, as published. Nobody here has run it

Execute all three phases in order.

Phase 1 — Trace Wrap

Wrap the critical-path function in a trace span:

OpenTelemetry:

tracer.startActiveSpan('operation.name', (span) => {
  // ... function body
  span.end();
});

Sentry:

const transaction = Sentry.startTransaction({ name: 'operation.name' });
// ... function body
transaction.finish();

Datadog:

tracer.trace('operation.name', () => {
  // ... function body
});

Phase 2 — Attribute Injection

Inside the span, attach:

  • Execution time (start and stop timer)
  • Query tags: user_id, tenant_id, endpoint
  • Input and output payload sizes in bytes

Phase 3 — Alert Rule

Propose an alert rule with all four fields specified:

FieldValue
Metric(e.g. trace.operation.duration)
Threshold(e.g. > 200ms)
Evaluation window(e.g. last 5 minutes)
Severity(e.g. P2 / warning)

Examples:

  • Datadog: avg(last_5m):avg:trace.operation.duration{env:prod} > 0.200 → P2
  • Prometheus: histogram_quantile(0.99, rate(http_request_duration_seconds_bucket[5m])) > 0.2 → warning

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