ln-76-architecture-migration-planner
Plans a reversible architecture migration with compatibility, data movement, rollout, and rollback. Use for current-to-target transitions; not execution, generic planning, or delivery review.
git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills /tmp/ln-76-architecture-migration-planner && cp -r /tmp/ln-76-architecture-migration-planner/plugins/architecture-suite/skills/ln-76-architecture-migration-planner ~/.claude/skills/ln-76-architecture-migration-plannerSKILL.md
# Architecture Migration Planner **Goal:** Create a safe, reversible transition from an evidenced current architecture to an explicit target architecture. Change only the approved migration document; do not execute migrations, edit product code, build a generic task plan, approve delivery, or hide irreversible steps. **Execution contract:** Treat the ordered checkbox workflow below as this skill's Definition of Done. Track every checkbox as `PENDING`, then resolve it to `PROVEN` with concrete evidence, `CLEARED` with evidence that its conditional trigger is absent, or `UNPROVEN`; reading, mentioning, delegating, skipping, or tool failure is not proof. Before returning, resolve every `PENDING`, count only `PROVEN` and `CLEARED` items as complete, apply this skill's verdict, decision, and approval rules to every `UNPROVEN`, and prepend **Checklist: X/Y complete**<br>**Incomplete: None | section/item — reason; outcome impact; exact next action**; list every `UNPROVEN` item. ## Tool Routing | Need | Preferred capability | Fallback | |---|---|---| | Current and target states | Repository evidence plus approved architecture artifacts | Explicit user-provided states with limitations | | Consumers and compatibility | Language intelligence, schema tools, config search, telemetry, and direct inspection | Conservative inventory marked `UNVERIFIED` | | Data scale and runtime risk | Production metrics, checked-in reports, migrations, and workload evidence | Ranges with validation gates before execution | | External migration constraints | Official vendor migration and compatibility guidance | Mark dependent phases `BLOCKED` or `UNVERIFIED` | | Document mutation | Minimal patch to the approved migration-plan artifact | Return `BLOCKED` when authority or path is unclear | A migration phase must leave the system in a supported state. Additive and reversible steps precede cutover; destructive cleanup follows verified zero use. ## Artifact Rules - Reuse a clear architecture migration document; otherwise use `docs/architecture/migration-plan.md`. - Treat current-state, target-design, baseline, decisions, diagrams, interfaces, and telemetry as optional shared evidence. - Keep the plan architectural: phases, compatibility, data, topology, gates, rollback, ownership, and removal. - Leave file-level implementation tasks to downstream planning. - Separate preparation, coexistence, migration, cutover, stabilization, and removal. - Never describe rollback as "revert" when data or external effects are not reversible. - Give every destructive step explicit approval, backup, restoration, and zero-consumer evidence requirements. ## Checklist ### 1. Establish the Transition Contract - [ ] Resolve migration scope, business outcome, current state, target state, non-goals, deadline or horizon, owners, and approved destination. - [ ] Read repository instructions, Git state, relevant architecture artifacts, migrations, deployment configuration, and compatibility policies. - [ ] Verify that current and target states are specific enough to compute a gap; return `BLOCKED` rather than invent either state. - [ ] Identify protected user journeys, invariants, SLOs, recovery objectives, compliance duties, and change windows. - [ ] Keep the run read-only except for the approved migration document. ### 2. Build the Gap and Dependency Map - [ ] Inventory affected modules, deployables, data stores, schemas, APIs, events, configuration, infrastructure, and operational procedures. - [ ] Inventory internal and external consumers, owners, versions, traffic, data volume, and evidence quality. - [ ] Map current-to-target changes in boundaries, ownership, contracts, data, runtime topology, observability, and failure behavior. - [ ] Identify shared mutable resources, sequencing dependencies, long-running work, mixed-version windows, and irreversible effects. - [ ] Record unknown consumers or usage as migration risks; absence of search results is not zero usage. ### 3. Design Compatibility and Data Safety - [ ] Define old/new contract compatibility, version negotiation, adapters, dual-read or dual-write behavior, and deprecation policy where relevant. - [ ] Use expand/migrate/contract for schema and data-shape changes; keep additive and destructive operations in separate releases. - [ ] Define backfill selection, batching, throttling, idempotency, checkpoints, retries, reconciliation, and correctness oracle. - [ ] Define source of truth during coexistence and conflict handling for concurrent writes. - [ ] Define backup, restore, RPO/RTO impact, privacy, retention, and audit evidence for data movement. ### 4. Build Reversible Phases - [ ] Define preparation, shadow or coexistence, progressive migration, cutover, stabilization, and old-path removal as independently verifiable phases. - [ ] For every phase, state prerequisites, changed architecture state, owner, entry gate, observable success, abort condition, rollback or roll-forward action, and exit evidence. - [ ] Define feature flags, routing controls, canary cohorts, rate limits, maintenance windows, and blast-radius controls where justified. - [ ] Define metrics, logs, traces, reconciliation reports, dashboards, alerts, and SLO gates needed before traffic or data movement. - [ ] Keep old and new versions interoperable through realistic deployment ordering and rollback windows. ### 5. Plan Cutover and Removal - [ ] Define go/no-go authority, communication, freeze conditions, exact cutover control, and immediate verification. - [ ] Define rollback boundaries separately for code, configuration, traffic, schema, and already-migrated data. - [ ] Require measured zero use, migrated consumers, retention expiry, and explicit approval before destructive removal. - [ ] List old code paths, contracts, flags, adapters, jobs, data, infrastructure, dashboards, and documentation to remove. - [ ] Define post-cutover observation period, ownership handoff, incident response, and closure ev
Creates a project baseline of architecture drivers and constraints. Use before design or planning; not for target design, plan review, implementation, or architecture audit.
Documents implemented current-state architecture from repository evidence. Use for onboarding or migration baselines; not for target design, audit verdicts, or code changes.
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
Records one architecture decision with context, alternatives, tradeoffs, and consequences. Use for a significant choice; not for broad design, audit, or implementation.
Creates evidence-backed current or target architecture diagrams when the diagram is the primary deliverable. Not for UI design, architecture audit, or invented structure.
Audits documentation and code comments for structure, coverage, factual accuracy, and maintainability. Use for documentation trust reviews; not code, test, or architecture audits.
Audits cross-cutting code health across security, delivery, maintainability, dependencies, diagnosability, concurrency, and lifecycle. Use when no specialist audit is primary.
Audits whether an existing test suite proves important behavior as a sustainable portfolio. Use when test confidence or lifecycle control is uncertain; not to implement tests or review one delivery.