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.

1. •Design implementation plan.

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

1. •Execute and iterate.

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

1. •Validate contract integrity.

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

1. •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.