Telemetry Analytics

Use this skill to define telemetry pipelines and analytics outputs with KPI trustworthiness.

Workflow

1. Define scope and constraints.

• Define KPI questions, event taxonomy, and data quality constraints.
• Capture objective metrics, bounds, and release blockers.

2. Design implementation plan.

• Design ingestion, transformation, and aggregation flow with lineage.
• Keep ownership and dependency boundaries explicit.

3. Execute and iterate.

• Implement in small, traceable increments.
• Record run/build context for reproducibility.

4. Validate contract integrity.

• Validate event completeness, metric accuracy, and anomaly detection gates.
• Treat contract breaches as blockers.

5. Prepare handoff.

• Deliver schema updates, dashboard mapping, and quality checks.
• Include exact commands and acceptance criteria.

Output Contract

Return:

1. Context: goals, assumptions, constraints.
2. Validation: pass/fail checks and key deltas.
3. Changes: concrete file-level updates.
4. Commands: commands and expected outputs.
5. Risks: unresolved issues and limits.

References

• references/workflow.md: detailed execution flow.
• references/checklist.md: sign-off checklist.

Execution Rules

• Keep decisions measurable and reversible.
• Keep validation criteria explicit before iteration.
• Flag missing instrumentation and unverifiable KPI derivations as blockers.