Ln 26 Architecture Migration Planner logo

Ln 26 Architecture Migration Planner

Community
levnikolaevich
ln-26-architecture-migration-planner

Plans architecture migrations with compatibility, data safety, rollout and recovery; does not execute them.

Overview

Publisherlevnikolaevich
Repositoryclaude-code-skills
Skill nameln-26-architecture-migration-planner
Stars
565
Forks
84
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by levnikolaevich on GitHub. Read the source before you install it.

Installation

Install the Ln 26 Architecture Migration Planner AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/levnikolaevich/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/plugins/architecture-suite/skills/ln-26-architecture-migration-planner .claude/skills/ln-26-architecture-migration-planner
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ln 26 Architecture Migration Planner in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ln 26 Architecture Migration Planner on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ln 26 Architecture Migration Planner is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Architecture Migration Planner

Goal: Plan a safe transition from evidenced current architecture to an explicit target, with reversibility limits and recovery actions. 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: The checklist defines completion. Track each item internally as PENDING, PROVEN with evidence, CLEARED with evidence its condition is absent, or UNPROVEN with a gap; reading, delegation, or tool failure is not proof. Reconcile after each section. Before returning, resolve all PENDING, count only PROVEN and CLEARED, and apply verdict and approval rules to every gap. Preserve intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. Scale depth to material risk without skipping checks. Preserve dependency and safety order; otherwise choose an appropriate verification method. Accept equivalent user or repository evidence; no other skill, named artifact, or complete lifecycle is required. Preserve source requirement and decision IDs. Bind reused evidence to relevant source versions, dirty changes, configuration, and environment; invalidate only affected claims. On continuation, reconcile task, authorization, current state, and unresolved evidence. For long work, return a compact continuation record or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Prepare authorized work before required approval. If blocked by an instruction, cite its exact source and unresolved boundary; do not invent approval gates from caution.

Tool Routing

NeedPreferred capabilityFallback
Current and target statesRepository evidence plus approved architecture artifactsExplicit user-provided states with limitations
Consumers and compatibilityLanguage intelligence, schema tools, config search, telemetry, and direct inspectionConservative inventory marked UNVERIFIED
Data scale and runtime riskProduction metrics, checked-in reports, migrations, and workload evidenceRanges with validation gates before execution
External migration constraintsOfficial vendor migration and compatibility guidanceMark dependent phases BLOCKED or UNVERIFIED
Document mutationMinimal patch to the approved migration-plan artifactReturn 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.
  • 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 when mixed versions or online migration require coexistence; separate additive and destructive releases in that case. For an approved offline atomic transition, document the equivalent compatibility, recovery, and downtime controls.
  • Define backfill selection, batching, throttling, idempotency, checkpoints, retries, reconciliation, and correctness oracle.
  • Define source of truth during coexistence, concurrent-write conflict handling, and detection, retry, and reconciliation of partial dual-write failure; do not assume two writes are atomic.
  • 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 migrated data, including points of no return and roll-forward recovery when rollback would lose accepted writes.
  • Before destructive removal, require usage evidence over a window covering relevant schedules and offline consumers, migrated consumers, applicable retention expiry, and explicit approval. A short zero-traffic sample cannot establish zero use.
  • 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 evidence.

6. Write and Report

  • Write transition summary, state gap, dependencies, compatibility, data plan, phased sequence, gates, observability, rollback, removal, owners, assumptions, and open decisions.
  • Link shared artifacts by stable repository path or title without requiring a particular workflow.
  • Re-read every phase for unsupported zero-downtime, zero-loss, consumer, capacity, or reversibility claims.
  • Link each transition unit to the protected requirement, current/target boundary, entry evidence, observed success, and irreversible point; identify dependent plans affected by a migration change.
  • Use READY only when phases are safely executable inputs to implementation planning; use REVISE for material compatibility, data, gate, or rollback gaps; use BLOCKED when current state, target state, authority, or safety evidence is unavailable.

Self-Check

  • Reconcile before returning. Check item-level evidence, requirement coverage, contradictions, scope, verdict, and applicable cleanup. Correct the report or authorized artifacts. Reuse valid evidence; do not automatically rescan the repository or rerun successful commands. Repeat checks only for relevant changes, failures, or unresolved evidence. Disclose remaining gaps.

Output Contract

Report in the user's language, in this order; retain all five fields and state each fact once. Small results may use one line per field; omit empty tables and do not copy linked artifacts:

  1. Result: Skill-specific verdict and supported outcome.
  2. Scope: Reviewed/changed scope, exclusions, baseline, and material assumptions.
  3. Evidence: Skill-specific fields below; distinguish facts, inferences, and unverified claims. Link artifacts; use tables when useful.
  4. Verification: Checks/results, unavailable evidence, and applicable cleanup/external state.
  5. Completion: Checklist: X/Y complete; Incomplete: None or each UNPROVEN item's reason, outcome impact, and exact next action; residual risks and required decisions.

Skill-specific evidence: Artifact path; current/target gap, consumers, dependencies, and protected invariants. Summarize phases with entry gates, changes, success evidence, abort conditions, rollback/roll-forward; data/coexistence/reconciliation/cutover/removal proof; and open decisions that affect safety, ordering, or reversibility.

Frequently asked questions

What does the Ln 26 Architecture Migration Planner AI skill do?

Plans architecture migrations with compatibility, data safety, rollout and recovery; does not execute them.

Why use Ln 26 Architecture Migration Planner on TypingMind?

Because you install it once and use it with any model. Ln 26 Architecture Migration Planner is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ln 26 Architecture Migration Planner in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/levnikolaevich/claude-code-skills/tree/master/plugins/architecture-suite/skills/ln-26-architecture-migration-planner. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ln 26 Architecture Migration Planner?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ln 26 Architecture Migration Planner?

As many as you like. As long as a model supports skills, you can use Ln 26 Architecture Migration Planner with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ln 26 Architecture Migration Planner AI skill free?

Yes. It is published on GitHub by levnikolaevich under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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