Experience Lwc Base Components Integrate logo

Experience Lwc Base Components Integrate

OrganizationPopular
forcedotcom
experience-lwc-base-components-integrate

Pick the right Lightning Base Component (`lightning-*`) for a given UI task, retrieve its full API (props, methods, events, slots) from the bundled per-component reference, and wire it into an LWC (LWC `.html`, `.js`, and `.css` files) without breaking SLDS. Use this skill when users say "I need a Lightning modal / datatable / combobox / record form", ask which `lightning-*` component fits a use case, want a shortlist of LBC candidates, are about to hand-roll a UI that a base component already provides, or are editing an LWC bundle's `.html` / `.js` / `.css` and need to select or wire a base component. Also triggers on "Lightning base component", "LBC", "lightning-combobox", "lightning-datatable", "use `lightning-` tag". DO NOT TRIGGER for applying SLDS design tokens, blueprints, or styling guidance in general — that is `design-systems-slds-apply`; this skill only selects and wires `lightning-*` base components.

Overview

Publisherforcedotcom
Repositorysf-skills
Skill nameexperience-lwc-base-components-integrate
Stars
1.1K
Forks
351
Bundled files
4
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.

  • 4 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 Base Components Integrate 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-base-components-integrate
  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-base-components-integrate .claude/skills/experience-lwc-base-components-integrate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Experience Lwc Base Components Integrate 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 Base Components Integrate 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 Base Components Integrate 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.

Using Lightning Base Components

Lightning Base Components (LBC) are the lightning-* web components shipped by Salesforce. This skill routes an agent through the right decision sequence so the final component choice is as specific as possible and backed by real API docs — not a hand-rolled reimplementation of something that already exists.

When to Use This Skill

  • User describes a UI need ("searchable dropdown", "record edit form", "modal with footer") and asks which lightning-* component fits.
  • User is about to build a primitive (button group, combobox, toast) and should be using LBC instead.
  • User asks you to review LWC markup for LBC-related issues — specifically overriding SLDS classes or restyling LBC internals.
  • User needs the authoritative props/events/slots for a specific lightning-* tag.

Prerequisites

  • Knowledge of which LBC namespace your org uses (lightning is the default public namespace; some platforms expose lightning-community or others — the user's meta files will clarify).
  • The skill ships authoritative API docs for every Lightning Base Component in references/lightning-components.md. Each component is a # Component API Structure block; grep for **Name:** <camelCaseName> (e.g. **Name:** datatable) to jump to its Properties / Methods / Events / Slots. Read this rather than relying on cached knowledge — LBC evolves and the reference is the source of truth.

Workflow

Step 1 — Read the entire component index first

Open lightning-component-index.md and scan all entries before making any selection. This is non-negotiable: LBC's value comes from picking the most specialized component, and skipping the scan leads to reinventing compound widgets out of primitives.

As you scan, compile a candidate list — every component whose description touches any aspect of the use case. Do not filter or rank yet.

Step 2 — Narrow to the most specific fit per feature

Once the scan is complete:

  • For each feature in the use case, select the most specific component that covers it. Prefer a specialized compound (lightning-record-form, lightning-tabset, lightning-datatable) over a generic primitive (lightning-input, lightning-button) when the specialized one covers the scenario end-to-end.
  • Avoid duplication: if lightning-record-form already renders fields for a record, do not pair it with lightning-input-field unless you're explicitly overriding behavior.

Step 3 — Share the shortlist and confirm

Present the final shortlist to the developer with a one-line rationale per component. Wait for explicit confirmation before pulling full API docs. This prevents the agent from burning context on components the developer has already mentally ruled out.

Step 4 — Retrieve full API docs

Once confirmed, use the bundled helper to pull the exact API blocks — this avoids ad-hoc grepping across a large reference:

bash
scripts/extract-component-docs.sh <camelCaseName> [<camelCaseName>...]

Convert lightning-<foo> tags to camelCase (no lightning- prefix):

  • lightning-datatable → datatable
  • lightning-record-edit-form → recordEditForm
  • lightning-button-icon → buttonIcon

Each returned block has the same shape: Basic Information (tag, namespace, type), Properties (name, type, default, description), Methods, Events, Slots, and (where applicable) usage notes. This skill is about picking the components; the bundled reference is about wiring them.

Step 5 — Produce integration guidance

Using the per-component reference, walk the developer through:

  • The exact <lightning-...> tag and required attributes.
  • Which events to bind (onchange, oncommit, onsuccess, …) and what the event payload contains.
  • Any slots to fill (headers, footers, custom content).
  • Known constraints from the component docs (e.g. lightning-record-form requires object-api-name and record-id for edit/view modes).

Step 6 — Respect LBC styling rules

Do not override SLDS classes on LBC internals. See lbc-expert-guidance.md for specifics. Common issues:

  • Targeting .slds-button or .slds-input in the host component's CSS to restyle an LBC — LBC ships inside a shadow root, so these selectors either leak into sibling components or get stripped entirely. Use the component's documented styling hooks (--sds-c-button-*, etc.) instead.
  • Wrapping an LBC just to mutate its internal markup. You can't — the markup is hidden behind the shadow root. If the component doesn't expose the slot/prop you need, that's a platform-level gap, not a restyling job.

Examples

Example — "I need a multi-select combobox with typeahead"

  1. Scan the component index end-to-end.
  2. Candidate list includes: lightning-combobox, lightning-dual-listbox, lightning-record-picker.
  3. Shortlist: lightning-dual-listbox (the documented multi-select base component). Rule out lightning-combobox — its documented API is single-select; it has no type="multi" and no multi-select mode. Flag that lightning-record-picker only fits if the values are record IDs.
  4. Developer confirms lightning-dual-listbox.
  5. Run scripts/extract-component-docs.sh dualListbox.
  6. Return the options, value, onchange payload, and required label props from the block's Properties / Events sections.

Example — "I'm going to write my own modal"

  1. Scan finds lightning-modal, lightning-modal-body, lightning-modal-footer, lightning-modal-header.
  2. Shortlist is the 4 modal components.
  3. Confirm.
  4. Run scripts/extract-component-docs.sh modal modalHeader modalBody modalFooter → full modal API (how to extend LightningModal, the static .open() pattern, slotting the header/body/footer).
  5. Steer the developer away from rolling their own dialog.

Verification Checklist

  • The full component index was scanned before any selection (no keyword-search shortcutting).
  • Candidate list included every component that touches the use case.
  • Final shortlist selects the most specific component per feature.
  • Developer confirmed the shortlist before the bundled component reference was opened.
  • Integration guidance cites props / events / slots from the real API docs (not inferred).
  • No suggestions to restyle LBC by overriding SLDS classes.

Troubleshooting

  • Grep for **Name:** <name> returns no match — name is wrong, or the reference uses a different camelCase. Double-check against the component index (lightning-record-form → recordForm, lightning-record-view-form → recordViewForm, lightning-button-icon → buttonIcon).
  • Proposed component doesn't have the prop you expected — trust the real API doc over memory. LBC evolves; cached knowledge lies.
  • Developer resists the shortlist — don't skip Step 4. Still retrieve the docs for the developer's preferred choice so they see the actual trade-offs.
  • Developer wants to restyle LBC internals — redirect to styling hooks (see the LBC Expert reference). Refusing shadow DOM penetration is the correct answer.

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 Base Components Integrate AI skill do?

Pick the right Lightning Base Component (`lightning-*`) for a given UI task, retrieve its full API (props, methods, events, slots) from the bundled per-component reference, and wire it into an LWC (LWC `.html`, `.js`, and `.css` files) without breaking SLDS. Use this skill when users say "I need a Lightning modal / datatable / combobox / record form", ask which `lightning-*` component fits a use case, want a shortlist of LBC candidates, are about to hand-roll a UI that a base component already provides, or are editing an LWC bundle's `.html` / `.js` / `.css` and need to select or wire a bas...

Why use Experience Lwc Base Components Integrate on TypingMind?

Because you install it once and use it with any model. Experience Lwc Base Components Integrate 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 Base Components Integrate 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-base-components-integrate. 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 Base Components Integrate?

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 Base Components Integrate?

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

Is the Experience Lwc Base Components Integrate 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.

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