SkillVaultskills Browse all 500 skills

Maintenance · Version 1.1.0 · Reviewed 2026-08-02

Strangler Migration Planner

Reduce change risk for seam selection and traffic routing with evidence, explicit trade-offs, and a verification plan.

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

Plans incremental replacement of a legacy system by routing traffic away one capability at a time.

₹149 one-time

Get this skill archive

What this skill helps you do

  • Seam selection
  • Traffic routing
  • Decommission criteria

How Strangler Migration Planner works

You provide

Current state, consumer inventory, and target state

It inspects

Coexistence and rollback viability for seam selection

It decides

A traffic routing sequence in reversible increments

You verify

Shadow comparison reports divergence rather than assuming zero

What it checks first

Strangler Migration Planner plans incremental replacement of a legacy system by routing traffic away one capability at a time. Use it when the work involves Seam selection, Traffic routing, Decommission criteria.

  1. Whether the old and new paths can coexist, which determines if incremental migration is possible at all.
  2. The true consumer inventory, including internal jobs, scripts, and integrations not visible in the main codebase.
  3. Data volume and the time the migration takes at production scale, not sample scale.
  4. Whether the change is backward compatible for data written by the previous version during rollout.
  5. The rollback path, and specifically whether it remains available after the first irreversible step.

Failure modes it recognizes

  • A migration validated on a sample that takes hours on production volume and holds a lock throughout.
  • Dual-write divergence where one write succeeds and the other fails, with no reconciliation.
  • A backfill that races with live writes and overwrites newer values with older ones.
  • Removing the old path before all consumers migrated, discovered by a quarterly batch job weeks later.
  • A schema change that is forward compatible but not backward compatible, blocking rollback.
  • Enum or type widening that older readers cannot parse, breaking during a partial rollout.

Answers it will reject

  • A big-bang cutover with a maintenance window, which concentrates all risk into one unrehearsed moment.
  • Migrating and refactoring simultaneously, which makes failures impossible to attribute.
  • Treating the migration as done at cutover rather than after the old path is removed and verified unused.
  • Skipping the shadow-read comparison because the new implementation "obviously" matches.

Decision rules it applies

  • Use expand-migrate-contract: add the new shape, write both, migrate readers, then remove the old shape.
  • Every increment must be independently verifiable and independently revertible.
  • Keep the old path observable until traffic proves equivalence; remove it only on evidence of zero use.
  • Prefer additive schema changes; a removal is a separate, later, deliberately scheduled change.

Evidence it asks for

  • Run shadow reads comparing old and new outputs, and report the divergence rate rather than assuming zero.
  • Instrument usage of the deprecated path with a caller identifier so removal can be proven safe.
  • Rehearse the migration on a production-sized copy and record the actual duration and lock behavior.

The method inside

  1. Establish the current state and the constraint that actually limits seam selection.
  2. Separate the requested solution from the underlying problem in traffic routing, and name the assumptions carrying the most risk.
  3. Compare only viable options for decommission criteria against weighted constraints, cost of reversal, and operational ownership.
  4. Commit to a sequenced recommendation with success criteria, guardrails, and the observation that would reverse it.

Deliverables

  • Seam selection assessment
  • Traffic routing decision and action plan
  • Decommission criteria verification checklist

Evidence requirements

  • Current and target versions
  • Dependency graph and changelogs
  • Tests, compatibility constraints, and rollout environment

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 want to replace a monolith over 18 months without a rewrite freeze. Where do we cut first?

Expected output

Cut where the seam is cleanest and the business value is provable, usually a read-heavy capability with few writes. Put a routing facade in front so each capability moves independently, and define the decommission criteria before you start...

Boundaries and compatibility

Ideal for

  • Seam selection: produce a decision or artifact grounded in supplied evidence.
  • Traffic routing: produce a decision or artifact grounded in supplied evidence.
  • Decommission criteria: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Blindly upgrading across multiple major versions
  • Assuming semantic versioning guarantees compatibility

Agent compatibility

  • GitHub Copilot custom agents
  • Claude Agent Skills / SKILL.md
  • Any instruction-following chat model

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.