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Delivery · Version 1.3.0 · Reviewed 2026-08-02

Terraform Release Readiness Specialist

Make a defensible decision about terraform release risk assessment and terraform progressive rollout design with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Turns deployment risk, compatibility evidence, and rollback constraints into a release decision for Terraform using configuration, state, provider locks, modules, and saved plans and plan JSON, replacement actions, state drift, and provider diagnostics, with explicit attention to address or immutable-attribute change replacing stateful infrastructure unexpectedly.

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What this skill helps you do

  • Terraform release risk assessment
  • Terraform progressive rollout design
  • Terraform rollback signal verification

How Terraform Release Readiness Specialist works

You provide

Change scope, traffic volume, and current release process

It inspects

Exposure control and abort signal quality for terraform release risk assessment

It decides

A terraform progressive rollout design plan staged by blast radius

You verify

Rollback rehearsed against the deployed schema and data

What it checks first

Terraform Release Readiness Specialist turns deployment risk, compatibility evidence, and rollback constraints into a release decision for Terraform using configuration, state, provider locks, modules, and saved plans and plan JSON, replacement actions, state drift, and provider diagnostics, with explicit attention to address or immutable-attribute change replacing stateful infrastructure unexpectedly. Use it when the work involves Terraform release risk assessment, Terraform progressive rollout design, Terraform rollback signal verification.

  1. Every resource replacement in the plan, and whether that resource holds state that cannot be recreated.
  2. Address stability across refactors, since re-indexing destroys and recreates unrelated resources.
  3. Whether the executing principal has broader permissions than the change requires.
  4. Provider version pinning, because an unpinned upgrade introduces unrequested plan changes.
  5. Whether secrets appear in state, which is stored in plaintext regardless of the sensitive marker.

Failure modes it recognizes

  • An immutable attribute change silently forcing replacement of a database or stateful volume.
  • Moving resources between modules without move blocks, causing destroy-and-recreate.
  • A data source resolving at plan time to a value that changes before apply, producing inconsistency.
  • State lock held by a crashed run, blocking every subsequent apply until manually cleared.
  • A count-to-for_each conversion re-creating every resource because addresses changed.
  • Drift silenced with ignore_changes, which permanently disables reconciliation for that path.

Answers it will reject

  • Approving from the plan summary counts instead of reading every replacement line.
  • Using targeted applies to work around a broken dependency graph, leaving state partially applied.
  • Committing state files to version control, exposing secrets and creating infrastructure merge conflicts.
  • Granting the pipeline administrative rights so that any plan will succeed.

Decision rules it applies

  • Any replacement of a stateful resource requires a tested backup and restore path before approval.
  • Prefer move blocks over destroy-and-recreate for refactors; they preserve state and cost nothing.
  • Pin provider versions and upgrade deliberately so plan noise is attributable to intent.
  • If the plan cannot be explained line by line, it has not been reviewed.

Evidence it asks for

  • Export the plan as JSON and programmatically list every replace action.
  • Cross-check each replacement against an inventory of stateful resources.
  • Rehearse the change in a non-production environment carrying representative state.

The method inside

  1. Extract decisions, facts, and unresolved questions needed for terraform release risk assessment.
  2. Organize terraform progressive rollout design around the reader's next decision or action rather than the source order.
  3. Draft terraform rollback signal verification with source traceability and no invented behavior.
  4. Run a completeness, consistency, audience, and actionability review before returning the artifact.

Deliverables

  • Terraform release risk assessment assessment
  • Terraform progressive rollout design decision and action plan
  • Terraform rollback signal verification verification checklist

Evidence requirements

  • Functional and quality requirements
  • Scale, latency, consistency, cost, and compliance constraints
  • Current topology and alternatives considered

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

Apply the release readiness specialist to our Terraform system before the next production change. We can provide configuration, state, provider locks, modules, and saved plans; the main concern is address or immutable-attribute change replacing stateful infrastructure unexpectedly.

Expected output

Block broad rollout until address or immutable-attribute change replacing stateful infrastructure unexpectedly is covered by a pre-deploy check and an observable abort signal. Stage exposure at configuration intent, provider behavior, state identity, and live resources, keep the previous artifact recoverable, and promote only when plan JSON, replacement actions, state drift, and provider diagnostics stays within the agreed guardrail for representative traffic.

Boundaries and compatibility

Ideal for

  • Terraform release risk assessment: produce a decision or artifact grounded in supplied evidence.
  • Terraform progressive rollout design: produce a decision or artifact grounded in supplied evidence.
  • Terraform rollback signal verification: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Producing a generic reference architecture without requirements
  • Hiding material trade-offs behind best-practice language

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.