Experience Ui Bundle Deploy logo

Experience Ui Bundle Deploy

OrganizationPopular
forcedotcom
experience-ui-bundle-deploy

MUST activate when the project has a uiBundles/*/src/ directory and the task involves deploying to an org or post-deploy org setup. Deploys a UI bundle app and runs ordered setup: org auth, build, metadata deploy, permission-set and role assignment, Experience Cloud self-registration, social login / SSO / IDP linking (Auth Providers + SAML on a React site), site logout URL, seed-data import, and GraphQL schema fetch + codegen. Trigger signals: *.network-meta.xml, org-setup.config.json (socialLogin/logoutUrl), data-plan.json, sfdx-project.json, or mentions of deploy, org setup, social login/SSO, or logout URL on an Experience site. DO NOT TRIGGER when: creating a new UI bundle project (use experience-ui-bundle-project-generate); styling pages without deploying (use experience-ui-bundle-frontend-generate); adding a feature such as auth, search, or file upload without deploying (use the matching experience-ui-bundle-*-generate skill); configuring MFA permission sets (use experience-ui-bundle-mfa-configure).

Overview

Publisherforcedotcom
Repositorysf-skills
Skill nameexperience-ui-bundle-deploy
Stars
1.1K
Forks
351
Bundled files
22
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.

  • 22 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 Ui Bundle Deploy 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-react/skills/experience-ui-bundle-deploy
  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-react/skills/experience-ui-bundle-deploy .claude/skills/experience-ui-bundle-deploy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Experience Ui Bundle Deploy 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 Ui Bundle Deploy 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 Ui Bundle Deploy 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.

Deploying a UI Bundle App

Deploy order is load-bearing: a step's output is the next step's precondition (deploy before schema fetch; permissions before schema fetch; role/self-reg before the schema the guest user must see). This is the canonical setup sequence, ported from the reference org-setup.mjs. The org-setup.mjs line citations in references/ are port-provenance (why each rule exists) pointing at that external reference script — not files shipped with this skill — so you don't need to open them to run the steps.

Run each step in order. Every optional step is presence-driven: if its convention file is absent, no-op cleanly and move on — do not fabricate config. For the two destructive/expensive steps (self-registration, data import), ask the user before running.

Inputs to gather up front

Read these from the project; ask the user only for what's missing:

  • Target org — alias/username for --target-org. Ask if not obvious.
  • Source root — run scripts/get-source-root.sh to resolve the metadata source dir from sfdx-project.json (packageDirectories[0].path + /main/default). It exits non-zero if the project file is missing or malformed. Never hardcode force-app/main/default.
  • org-setup.config.json (optional) — drives permset assignment, role, self-registration, and social login. Absent keys mean "skip that step". Exception: if the file is missing but permissionsets/ has permsets to assign, don't silently skip — scaffold the config or gather equivalent inputs (see step 4).
  • data-plan.json (optional, in the project's data/ dir) — presence enables the data step.

Step 1 — Org authentication (always)

Unconditional precondition; cannot be skipped. If the org is already connected (sf org display --target-org <org> --json succeeds), no-op. Otherwise:

bash
sf org login web --alias <org>

A failed login aborts the whole setup before deploy.

Step 2 — Pre-deploy UI bundle build

Build every UI bundle so dist/ exists before metadata deploy (UI bundle entities deploy the built output). For each bundle dir under uiBundles/:

bash
npm install
npm run build

Run when deploying UI bundles and dist/ is missing or source changed.

Step 3 — Deploy metadata

If self-registration is configured:

  1. Deploy license pre-check first (see references/license-checks.md) — it blocks the deploy with a clear, license-naming message instead of a cryptic failure.
  2. Add the self-reg profile to networkMemberGroups on the local source — apply Edit A of assets/network-selfreg-xml-recipe.md. This must happen before this deploy so the profile ships as a recognised site member; do NOT deploy the network file on its own here (this deploy ships it). Best-effort and idempotent — skip if already a member.

Then deploy the whole project (all metadata) by pointing --source-dir at the resolved source root:

bash
sf project deploy start --source-dir <sourceRoot> --target-org <org>

<sourceRoot> is the value from scripts/get-source-root.sh (e.g. force-app/main/default). Always pass --source-dir. Do NOT run bare sf project deploy start with no path: that command relies on source-tracking to decide what to deploy, and on an org without source-tracking (most non-scratch orgs) it aborts with "This org does not have source-tracking enabled … specify the files or a manifest to deploy." Passing --source-dir deploys the same full set on both source-tracked and non-tracked orgs and never emits that hint. If the deploy reports conflicts on a source-tracked org, re-run with --ignore-conflicts — do NOT roll back or reduce the deployed set.

Do NOT hand-build a package.xml, assemble a --metadata-dir mdapi zip, or otherwise convert to metadata-format — none of that is needed and it is not part of this flow.

Timeout 180s. Must complete before permission assignment and schema fetch — objects, fields, and permission sets appear in the org only after deploy.

Step 3b — Set the site logout URL (config-gated)

Run only when org-setup.config.json has a top-level logoutUrl. If absent, no-op cleanly and say so. Non-destructive and idempotent — no ask needed.

Runs here, after the deploy (not folded into it) because the platform rejects a relative logout URL ("The logout page URL must be an absolute URL."), and a shipped site-relative path (e.g. /propertyrentalapp/) is resolved to absolute against the site's Experience Cloud origin — which only exists once the site is deployed.

Why it matters: a site with no <logoutUrl> sends a logging-out member to the org default-site login page — in a multi-site org that's a different community, so Sign Out lands on the wrong site's login page. Setting it steers logout back to this site (reload as Guest).

Steps:

  1. Read logoutUrl from config; absent → skip.

  2. Derive the site — scripts/derive-site-name.sh (single *.network-meta.xml; skip if zero/ambiguous).

  3. Resolve, set, and deploy — one command. Invoke the helper, which resolves the value to an absolute URL (site-relative → matched against the community siteUrl path, never guessing), writes <logoutUrl> idempotently in the canonical position, and deploys only that file:

    bash
    node scripts/set-logout-url.mjs \
      --logout-url "<logoutUrl from config>" \
      --network-file <sourceRoot>/networks/<site>.network-meta.xml \
      --target-org <org> --site <site> --deploy

Best-effort: the helper exits 0 on success or already-set, and 3 on a recoverable skip (network file missing, origin unresolvable, XML-special char, or deploy failure). Treat exit 3 as a loud skip, not a setup failure — continue the rest of setup and tell the user to set the logout URL manually in the site's Administration settings. Usage, exit-code contract, and port-provenance: references/logout-url.md.

Step 4 — Assign permission sets

Discover permission sets under <packageDir>/main/default/permissionsets/. If none exist and none were passed explicitly, skip.

If permsets exist but org-setup.config.json is missing, do NOT silently skip. A missing config makes every discovered permset resolve to skip, so nothing gets assigned and the later GraphQL schema comes back incomplete (the caller lacks FLS). Instead, help the user supply the assignments — either scaffold org-setup.config.json from assets/org-setup.config.template.json or gather the per-permset assignee inputs for a one-off run. Full schema + scaffolding flow: references/config-scaffold.md. Confirm intent before writing the file or assigning — don't fabricate assignees.

Otherwise assign each per its config assignee (org-setup.config.json → permsetAssignments), where each assignee is one of currentUser, guestUser, or skip (default skip):

bash
sf org assign permset --name <permset> --target-org <org> [--on-behalf-of <guestUsername>]
  • currentUser — omit --on-behalf-of.
  • guestUser — resolve the site's guest username first (see the guest-user section in references/self-registration.md). If the site can't be derived or no guest user resolves, skip that permset and record the reason — don't abort the others.
  • Treat "Duplicate … PermissionSet" and "not found … target org" as skips, not failures.

Required so GraphQL introspection returns the correct schema (the caller needs FLS on custom fields).

Step 5 — Assign role (config-gated)

Run only when org-setup.config.json has role: { assignee: "currentUser", roleName: "<UserRole>" }. Assigning a role to the current user is what lets Experience Cloud self-registration work. Idempotent — skip if the user already has a role. Detail + exact queries: references/role-assignment.md.

Step 6 — Enable self-registration (config-gated) — ask first

Run only when org-setup.config.json has selfRegistration: { selfRegProfile, accountName }. Ask the user before running. Sequence (full detail in references/self-registration.md):

  1. License pre-check (soft skip) — if the org lacks a seat on the profile's license, warn and skip; it is not a failure. See references/license-checks.md.
  2. Derive the site — run scripts/derive-site-name.sh; it outputs the site name (the base name of the single *.network-meta.xml) or exits non-zero when zero or more than one exist (ambiguous — stop).
  3. Flip self-reg on + redeploy the network file — apply Edit B of assets/network-selfreg-xml-recipe.md (set selfRegistration=true, inject <selfRegProfile>), then redeploy only that one file. Idempotent — skip both if already enabled. (Edit A, the member-group add, already happened in step 3.)
  4. Create the Account + NetworkSelfRegistration — apply assets/network-selfreg.apex (idempotent; both are query-then-create; run 4a and 4b as two separate sf apex run invocations).

Step 6b — Enable social login (config-gated)

Run only when org-setup.config.json has a socialLogin block. If the block is absent, loadSocialLoginConfig returns null and the step is hidden — no-op cleanly and say so. This step is non-destructive and idempotent (it only adds missing links/members), so — unlike self-registration and data import — it does not require asking first.

This links the site's configured Auth Providers (OAuth) and SAML SSO configs to the site so the built-in Social Login component renders their buttons on the React login page. On React (Site Container) sites the SSO admin UI is hidden, so the linking is done programmatically via AuthConfig / AuthConfigProviders records — you cannot do it by clicking through Setup. Full detail, sub-steps, and port-provenance: references/social-login.md.

Config shape (see references/config-scaffold.md for the full schema):

json
{ "socialLogin": {
    "communityMemberProfile": "Customer Community User",
    "authProviderNames": ["Google", "My_SAML_Provider"],
    "communityUserPermset": "myapp_Guest_User_Api_Access"
} }

Sequence (mirrors reference org-setup.mjs main() social-login step, which runs after self-registration and before the data/GraphQL steps):

Apply the assets/ templates verbatim (like the self-reg/data steps) — full runnable commands for each sub-step are in references/social-login.md:

  1. Derive the site — run scripts/derive-site-name.sh (single *.network-meta.xml; stop if zero/ambiguous). Social login needs the site to resolve its AuthConfig.
  2. Enable "Allow standard external profiles" — deploy assets/Communities.settings-meta.xml via Metadata API (from a throwaway minimal project; see the reference). Required so the SSO registration handler can create users on standard community profiles; without it auth providers fail user insert with FIELD_INTEGRITY_EXCEPTION. A "already active" warning is a non-fatal skip.
  3. Link Auth Providers to the site AuthConfig — run assets/social-login-auth-providers.apex verbatim (substitute <siteName>, <ProviderNamesList>, <ApiVersion>) to create the missing AuthConfigProviders junctions, then read its |DEBUG| lines (table in the reference). All-or-nothing: if any configured authProviderNames entry has no matching AuthProvider (OAuth) or SamlSsoConfig (SAML) record, it emits MISSING_PROVIDERS and links nothing — create/fix them in Setup first. Already-linked providers are skipped (idempotent).
  4. Add the community member profile to NetworkMemberGroup — resolve the Network + Profile Ids and create the membership if absent (sf data commands in the reference). Without it, SSO-registered users hit NO_ACCESS: User was not authorized for the community.
  5. (Optional) Assign communityUserPermset to community users — only when configured. Grants ApiEnabled so getCurrentUser() (/chatter/users/me) works for SSO-created users.

IMPORTANT: A socialLogin block present but skipped is a silent-failure trap — the app deploys fine, but no social-login buttons ever appear on the login page and there is no error explaining why. Do not silently skip: run the step when the block is present, or state clearly that it was absent.

Step 7 — Data import (presence-driven) — ask first

Run scripts/find-data-plan.sh first. If it exits non-zero, skip this step — do not prompt and do not error; just move on to step 8 (a brief "no data plan, skipping data import" note is fine). There is nothing to import without a plan. On success it prints the plan's path (it searches recursively, so both a project-root data/ and a <packageDir>/main/default/data/ layout resolve).

When it exists: always ask the user before importing or cleaning data — it deletes existing records first. Apply the verbatim templates; do not improvise Apex:

  1. Run scripts/find-prep-script.sh. If it succeeds, it prints the path of a prepare-import-unique-fields.js that ships with the app — run that first; it deduplicates re-runs by stamping stable unique keys on the record files. Invoke it the way that copy expects (its interface varies — see references/data-import.md). If it exits non-zero, there is no prep script — skip to the clean step.
  2. Clean in reverse plan order (children before parents) with assets/data-delete.apex.
  3. Import in forward plan order with assets/data-import.apex, resolving @referenceId refs and batching by measured size.

Protocol, @referenceId resolution, measured batching, and the SETUP_RESULT_JSON parse-and-hard-fail rule: references/data-import.md.

Step 8 — GraphQL schema fetch + codegen

Run from the UI bundle directory, after deploy and permission assignment (the schema reflects org state and the caller's FLS):

bash
npm install
SF_TARGET_ORG=<org> npm run graphql:schema
npm run graphql:codegen
npm run build

Detail: references/graphql.md. Re-run schema fetch + codegen after every deploy that changes objects, fields, or permissions.

Done

Setup ends here — the steps above (including the config-gated 6b social login) are the complete sequence. Local dev preview (npm run dev:preview) is a separate developer action, not part of setup; if the user asks to preview the site, see references/dev-preview.md.

Critical rules

  • Deploy metadata before fetching schema — custom objects/fields appear only after deploy.
  • Assign permissions before schema fetch — the caller may lack FLS otherwise.
  • Re-run schema fetch + codegen after every metadata deploy that changes objects, fields, or permissions.
  • Never silently skip permission assignment, self-registration, social login, or data import — either the convention file/config block is present (run it, asking first for the destructive ones) or it's absent (skip cleanly and say so). A present-but-skipped socialLogin block means no login buttons appear with no error to explain it.
  • Discover the source path from sfdx-project.json; never hardcode force-app/main/default.
  • Apply the assets/ Apex and XML templates verbatim — they encode duplicate-rule bypass, allOrNone=false deletes, idempotency, SOQL-safety, and (for social login) the all-or-nothing provider pre-check and the DML-not-allowed-on-AuthConfigProviders REST-callout insert — all easy to get wrong by hand.

Interaction order (summary)

  1. Authenticate org
  2. Build UI bundles (pre-deploy)
  3. Deploy metadata (deploy-license gate if self-reg configured) 3b. Set the site logout URL (if logoutUrl configured — post-deploy, idempotent, best-effort)
  4. Assign permission sets (config-driven assignee)
  5. Assign role (if configured)
  6. Enable self-registration (if configured — ask first) 6b. Enable social login (if socialLogin configured — idempotent, no ask needed)
  7. Import data (if data plan exists — ask first)
  8. Fetch GraphQL schema + codegen + final build

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 Ui Bundle Deploy AI skill do?

MUST activate when the project has a uiBundles/*/src/ directory and the task involves deploying to an org or post-deploy org setup. Deploys a UI bundle app and runs ordered setup: org auth, build, metadata deploy, permission-set and role assignment, Experience Cloud self-registration, social login / SSO / IDP linking (Auth Providers + SAML on a React site), site logout URL, seed-data import, and GraphQL schema fetch + codegen. Trigger signals: *.network-meta.xml, org-setup.config.json (socialLogin/logoutUrl), data-plan.json, sfdx-project.json, or mentions of deploy, org setup, social login/...

Why use Experience Ui Bundle Deploy on TypingMind?

Because you install it once and use it with any model. Experience Ui Bundle Deploy 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 Ui Bundle Deploy in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/forcedotcom/sf-skills/tree/main/plugins/builder/experience-react/skills/experience-ui-bundle-deploy. 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 Ui Bundle Deploy?

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 Ui Bundle Deploy?

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

Is the Experience Ui Bundle Deploy 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 👇