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Observability metrics

Skill planifest/planifest-framework/planifest-framework/external-skills/observability-metrics

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npx -y skills add planifest/planifest-framework --skill observability-metrics

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Observability metrics workflow for metric model design aligned to service health and business impact. Use when teams define or revise service metrics/SLIs for reliable health and capacity decisions; do not use for business-feature implementation logic.

SKILL.md

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Observability Metrics

Overview

Use this skill to define metrics that reflect real reliability and business impact, not vanity signals.

Scope Boundaries

  • Use this skill when the task matches the trigger condition described in description.
  • Do not use this skill when the primary task falls outside this skill's domain.

Shared References

  • Metric cardinality and SLI rules:
    • references/metric-cardinality-and-sli-rules.md

Templates And Assets

  • Metrics taxonomy template:
    • assets/metrics-taxonomy-template.csv
  • Metrics quality checklist:
    • assets/metrics-quality-checklist.md

Inputs To Gather

  • Service health objectives and user-impact expectations.
  • Capacity and performance decision needs.
  • Current metric set and cardinality risks.
  • Dashboard and alert consumer requirements.

Deliverables

  • Metrics taxonomy and ownership mapping.
  • SLI-aligned metric set.
  • Dashboard/alert readiness evidence.

Workflow

  1. Define metric taxonomy in assets/metrics-taxonomy-template.csv.
  2. Apply SLI/cardinality rules from references/metric-cardinality-and-sli-rules.md.
  3. Validate coverage and quality with assets/metrics-quality-checklist.md.
  4. Tune labels and aggregation for operability.
  5. Publish metric governance and maintenance plan.

Quality Standard

  • Metrics support reliability and capacity decisions.
  • Label strategy avoids high-cardinality failure.
  • Ownership and operational usage are explicit.

Failure Conditions

  • Stop when key health indicators are missing or misleading.
  • Stop when cardinality makes metrics operationally unstable.
  • Escalate when metric gaps block incident response.

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