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Reliability · Version 1.2.0 · Reviewed 2026-08-02

Incident Timing Advisor

Reduce production risk in declaration triggers and escalation timing with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Decides when to declare, escalate, and communicate during ambiguous early-stage incidents.

₹199 one-time

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What this skill helps you do

  • Declaration triggers
  • Escalation timing
  • Early communication

How Incident Timing Advisor works

You provide

Impact window, telemetry, and dependency state

It inspects

Saturation and blast radius behind declaration triggers

It decides

A escalation timing plan that stabilizes before diagnosing

You verify

Detect, mitigate, and resolve times recorded separately

What it checks first

Incident Timing Advisor decides when to declare, escalate, and communicate during ambiguous early-stage incidents. Use it when the work involves Declaration triggers, Escalation timing, Early communication.

  1. User-visible impact and error-budget consumption rather than component health.
  2. Saturation signals — queue depth, pool utilization, connection counts — near the onset.
  3. Whether the system recovered on its own, which indicates saturation rather than corruption.
  4. The blast radius and what boundary should have contained it.

Failure modes it recognizes

  • Retry amplification turning a partial failure into a total outage.
  • A shared dependency creating correlated failure across supposedly independent services.
  • Slow resource exhaustion invisible until a hard limit is crossed.
  • A rollback blocked by an incompatible migration.

Answers it will reject

  • Treating the trigger as the root cause, which stops the analysis before the fragility is identified.
  • Adding a runbook step where a boundary would remove the failure mode.
  • Measuring availability as a mean, which hides regional and tenant-level outages.

Decision rules it applies

  • Stabilize user impact before completing diagnosis.
  • Bound every retry with a budget, jitter, and a circuit breaker.
  • Prefer removing a failure mode over detecting it faster.

Evidence it asks for

  • Record time-to-detect, time-to-mitigate, and time-to-resolve separately.
  • Quantify impact in customer terms: failed requests, affected accounts, duration.
  • Verify recovery with the same signal that detected the failure.

The method inside

  1. Reconstruct the symptom timeline and define what healthy behavior would look like for declaration triggers.
  2. Rank hypotheses for escalation timing by evidence, blast radius, and ability to explain every observed symptom.
  3. Run the cheapest discriminating check for early communication; update confidence only when evidence changes.
  4. Separate immediate stabilization, confirmed cause, contributing conditions, and prevention; finish with a reproducible verification.

Deliverables

  • Declaration triggers assessment
  • Escalation timing decision and action plan
  • Early communication verification checklist

Evidence requirements

  • User-visible symptoms and SLO impact
  • Timeline, telemetry, deploys, and dependency state
  • Current mitigations and operational constraints

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

We waited 40 minutes to declare an incident because we were not sure it was real, and that delay hurt.

Expected output

Waiting for certainty guarantees delay, because certainty arrives after impact. Declare on a measurable trigger rather than on confidence, make declaration cheap and reversible, and treat a stood-down incident as a success rather than a false alarm...

Boundaries and compatibility

Ideal for

  • Declaration triggers: produce a decision or artifact grounded in supplied evidence.
  • Escalation timing: produce a decision or artifact grounded in supplied evidence.
  • Early communication: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Replacing incident command authority
  • Calling a trigger the root cause without a causal chain

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.