Experience Lwc Legacy Migrate logo

Experience Lwc Legacy Migrate

OrganizationPopular
forcedotcom
experience-lwc-legacy-migrate

Migrate legacy Salesforce UI stacks onto modern LWC — Aura → LWC conversion completeness verification and Lightning Out Beta → Lightning Out 2.0 host-page migration. TRIGGER on "verify Aura to LWC migration completeness", "migrate Lightning Out Beta to LO 2.0", "upgrade $Lightning.use() to <lightning-out-application>", "replace hardcoded LO tokens with OAuth PKCE", "write an LO 2.0 host page", or an external Lightning Out page that stopped rendering; also `.cmp`/`.js-meta.xml` files alongside LWC. DO NOT TRIGGER for the initial Aura-to-LWC conversion (use experience-aura-lwc-migrate), a React-to-LWC migration, or building a new LWC (use experience-lwc-design-generate).

Overview

Publisherforcedotcom
Repositorysf-skills
Skill nameexperience-lwc-legacy-migrate
Stars
1.1K
Forks
351
Bundled files
6
LicenseApache-2.0
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.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Experience Lwc Legacy Migrate 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.
    https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/experience-lwc/skills/experience-lwc-legacy-migrate
  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/forcedotcom/sf-skills.git /tmp/sf-skills
mkdir -p .claude/skills
cp -r /tmp/sf-skills/plugins/builder/experience-lwc/skills/experience-lwc-legacy-migrate .claude/skills/experience-lwc-legacy-migrate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Experience Lwc Legacy Migrate 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 Experience Lwc Legacy Migrate 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 Experience Lwc Legacy Migrate 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.

Migrating Legacy LWC Stacks

Two distinct migration workflows live here because users in the middle of migrating Aura components are often also migrating Lightning Out host pages — they benefit from one skill that knows both.

MigrationUse whenReference
Aura → LWC completeness checkAn Aura component was converted, verify nothing is lostaura-to-lwc-completeness-checklist.md
Lightning Out Beta → LO 2.0Migrating an external host page off lightning.out.jslightning-out-beta-to-2-migration.md

When to Use This Skill

  • User has already converted an Aura component to LWC and wants a structured completeness check.
  • User has a non-Salesforce host page that embeds Salesforce LWC via Lightning Out Beta and needs to move to LO 2.0.
  • User is upgrading $Lightning.use() / $Lightning.createComponent() calls to the <lightning-out-application> web component pattern.
  • User needs to replace a hardcoded LO auth token with OAuth PKCE + front-door flow.

If the user wants to build a brand-new LO 2.0 host page from scratch (no Beta code to migrate), the LO 2.0 system reference inside this skill is still the right source of truth — point them at it directly.

Prerequisites

  • Access to the source (Aura component files or Beta host page).
  • For LO 2.0 migration: ability to create an External Client App (ECA) in Salesforce Setup (Consumer Key required) and optionally a Lightning Out 2.0 App (18-char App ID).
  • For Aura migration: access to the LWC conversion, including any __tests__ (Jest) and __utam__ (UTAM) folders if they exist.

Workflow A — Aura → LWC Completeness Check

Goal: rate an already-done Aura-to-LWC conversion across 12 dimensions and produce actionable recommendations.

Step A1 — Identify the component

Ask the user for the component name (e.g. accountTile). Locate the Aura source ({componentName}.cmp, controller, helper, CSS) and the LWC output ({componentName}.html, .js, .css, .js-meta.xml).

Step A2 — Run the checklist

Follow aura-to-lwc-completeness-checklist.md verbatim:

  • Score the conversion on all 12 metrics (Functional Parity, Event Handling, Data Binding & State, UI/UX Parity, Extensibility & Modularity, Error Handling, Localization, Security & Access Control, Performance, Salesforce Best Practices, Jest Test Coverage, UTAM Page Objects).
  • Use the six-rating scale: Excellent / Good / Satisfactory / Limited / Poor / Missing.
  • Present the output as a list (not a table), per the reference.

Step A3 — Summarize + recommend

End with an overall confidence statement and a prioritized list of specific, actionable recommendations (what to fix, in what order).

Workflow B — Lightning Out Beta → LO 2.0

Goal: transform a Lightning Out Beta host page into a Lightning Out 2.0 host page while leaving the customer's HTML structure, styling, and business logic intact.

Step B1 — Read the LO 2.0 mental model

Internalize the architecture before editing code: lightning-out-2-system-reference.md.

Key takeaway: LO 2.0 is not a library upgrade. It runs the LWC inside an iframe with a closed shadow DOM — host-page JS cannot touch the LWC and vice versa, and host-page CSS does not cascade in.

Step B2 — Identify Beta patterns

Use Phase 1 of the migration guide to locate:

  • Pattern A — Script tag loading lightning.out.js (extract the domain).
  • Pattern B — Config variables (endpoint, Aura app, component, token).
  • Pattern C — $Lightning.use(...) call.
  • Pattern D — $Lightning.createComponent(...) call.
  • Pattern E — DOM target element referenced by the 3rd arg of Pattern D.

See lightning-out-beta-to-2-migration.md § Phase 1.

Step B3 — Apply transformations

The script-tag URL, the component tag name, and the attribute names are deterministic conversions — derive them with the helper script so they are exact every time (namespace preserved, camelCase → kebab-case, Beta host → versioned LO 2.0 library URL):

bash
python3 scripts/convert-lo-names.py \
  --component c:myComponent \
  --attributes recordId,ownerId \
  --my-domain https://<DOMAIN>.lightning.force.com

It prints the <c-...> tag, the kebab-case attributes, and the versioned LO 2.0 library URL. Then work through Phase 2 of the guide:

  1. Script tag — use the library-url the script prints; add async.
  2. Component name / attributes — use the component-tag and kebab-case attributes the script prints.
  3. Component tag — add the <c-...> tag directly in HTML at the target location (a judgement call — place it where the Beta render target was).
  4. Replace the $Lightning block — delete it entirely and start from assets/lo20-host-page-template.html, filling in the config constants; it already includes the helper functions, mountLo20(frontdoorUrl, orgUrl), boot(), and the OAuth listeners.

Step B4 — Six non-negotiable rules

These rules cause silent runtime failures if violated, and every one is a deterministic code-structure check. Enforce them with the validator script rather than by eye — run it against the migrated page and fix every FAIL:

bash
python3 scripts/validate-lo20-page.py <migrated-page.html>

It prints a PASS/FAIL line per rule (plus the LO 2.0 library and Beta-removal checks) and exits non-zero if any rule fails. The six rules it enforces:

  1. customElements.whenDefined(...) must receive a literal string, not the components variable.
  2. mountLo20(frontdoorUrl, orgUrl) must accept two parameters.
  3. Call clearCachedResult() before every mountLo20(...).
  4. Always pass both parameters when calling mountLo20(...), even if orgUrl is undefined.
  5. Wrap all initialization in boot() and call boot() at the end.
  6. The component tag has no inline display:none — control visibility via the loading indicator.

Step B5 — Salesforce setup

  • External Client App (ECA) — Setup → App Manager → New Connected App → External Client App. Enable OAuth with PKCE. Copy the Consumer Key.

  • Lightning Out 2.0 App — apply this decision before continuing:

    ConditionAction
    Host page sets app-id="..."Setup → Lightning Out → New LO App; copy the 18-character App ID into the host page's app-id attribute
    Host page embeds LWC directly (no app-id)Skip the LO App entirely
  • Helper files the migration assumes exist alongside the host page: frontdoor-url.html (OAuth callback) and utils/LightningOutAuth.js (PKCE implementation).

Step B6 — Run the LO 2.0 verification checklist

First run python3 scripts/validate-lo20-page.py <migrated-page.html> to clear the mechanical checks, then walk the remaining manual items in the full post-migration checklist — cover every item before declaring the migration done. See the "Verification Checklist" section at the end of lightning-out-beta-to-2-migration.md.

Verification Checklist (high level)

For Aura → LWC:

  • All 12 completeness metrics rated with a justification.
  • Output in list form (not table), per the reference.
  • Overall confidence statement present.
  • Concrete, prioritized recommendations listed.

For LO Beta → LO 2.0:

  • Script tag uses .my.salesforce.com/lightning/lightning.out.latest/index.iife.prod.js with async.
  • No references to $Lightning.use / $Lightning.createComponent remain.
  • Component name is kebab-case; attributes are kebab-case.
  • mountLo20(frontdoorUrl, orgUrl) takes two parameters.
  • customElements.whenDefined(...) uses a literal string.
  • All initialization wrapped in boot() and boot() is called once.
  • OAuth PKCE flow replaces hardcoded token; postMessage, BroadcastChannel, and storage listeners all present and defensively coded.
  • Component tag has no inline display:none.

Troubleshooting

  • LO 2.0 mount hangs — custom element not registered. Verify the library script tag URL and that the app-id / frontdoor-url values are correct.
  • Component renders empty — attributes probably still in camelCase. LO 2.0 reads HTML attributes which must be kebab-case.
  • OAuth callback never fires — one of postMessage / BroadcastChannel / storage listeners was dropped. LO 2.0 needs all three.
  • Aura checklist scored "Missing" on UTAM or Jest — may be acceptable if the team has an alternative test strategy; flag in recommendations rather than block.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Experience Lwc Legacy Migrate AI skill do?

Migrate legacy Salesforce UI stacks onto modern LWC — Aura → LWC conversion completeness verification and Lightning Out Beta → Lightning Out 2.0 host-page migration. TRIGGER on "verify Aura to LWC migration completeness", "migrate Lightning Out Beta to LO 2.0", "upgrade $Lightning.use() to <lightning-out-application>", "replace hardcoded LO tokens with OAuth PKCE", "write an LO 2.0 host page", or an external Lightning Out page that stopped rendering; also `.cmp`/`.js-meta.xml` files alongside LWC. DO NOT TRIGGER for the initial Aura-to-LWC conversion (use experience-aura-lwc-migrate), a Rea...

Why use Experience Lwc Legacy Migrate on TypingMind?

Because you install it once and use it with any model. Experience Lwc Legacy Migrate 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 Experience Lwc Legacy Migrate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/experience-lwc/skills/experience-lwc-legacy-migrate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Experience Lwc Legacy Migrate?

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 Experience Lwc Legacy Migrate?

As many as you like. As long as a model supports skills, you can use Experience Lwc Legacy Migrate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Experience Lwc Legacy Migrate AI skill free?

Yes. It is published on GitHub by forcedotcom under the Apache-2.0 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇