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Skills/forcedotcom/sf-skills/experience-ui-bundle-salesforce-data-access

experience-ui-bundle-salesforce-data-access

forcedotcom/sf-skills
674 installs675 stars

Installation

npx skills add https://github.com/forcedotcom/sf-skills --skill experience-ui-bundle-salesforce-data-access

Summary

MUST activate when a uiBundles/*/src/ project does ANY Salesforce record operation — reading, creating, updating, deleting, or caching/refreshing query results. Triggers: code importing @salesforce/platform-sdk, calls to sdk.graphql.query / sdk.graphql.mutate / sdk.fetch, *.graphql files, stale data needing a force-refresh, or wiring up a UI bundle's data layer to read, write, or refresh Salesforce records. The default for new read/write work is the Read/Write workflow with the current @salesforce/platform-sdk API; only follow the migration path when EXISTING code already uses the old @salesforce/sdk-data callable form. Not for building app shell/UI, styling, file upload, or auth/search scaffolding — use the other ui-bundle-* skills. DO NOT TRIGGER when: OAuth setup, schema changes, Bulk/Tooling/Metadata API, or declarative automation.

SKILL.md

Salesforce Data Access (UI bundles)

All Salesforce data access in a UI bundle goes through the @salesforce/platform-sdk data SDK. The SDK handles auth, CSRF, and base-URL resolution, and — on the WebApp surface — caches every GraphQL query by default.

This file is the workflow + guardrail spine. Depth lives in linked docs:

  • references/graphiti-cli.md — the graphiti CLI (sf-gql-*

commands) that compiles a small JSON spec into a schema-correct, guardrail-applied query + variables + types. The preferred way to author the GraphQL in steps below; falls back to the schema-grep script when unavailable.

  • references/sdk-api.md — the new call API: query/mutate,

QueryResult, typing, error-handling stances.

  • references/caching.md — on-by-default cache + the **two refresh

modes** (result.refresh/subscribe vs per-call cacheControl).

  • references/graphql-hand-authoring.md — schema lookup, read /

mutation templates, every platform guardrail (@optional, pagination, limits, semi-join, wrappers, error table…).

  • references/rest-and-integration.md — sdk.fetch,

the supported-API allowlist, and the reactive/lifecycle integration patterns.

  • references/migration.md — old @salesforce/sdk-data callable code

→ new namespace. The only place the dead API appears as usable code.

The one-paragraph mental model

const sdk = await createDataSDK(). Then sdk.graphql is a namespace, not a function: sdk.graphql!.query({...}) for reads, sdk.graphql!.mutate({...}) for writes. On WebApp, every query() is cached by default (300s). HTTP 200 never means success — always check result.errors. Verify every entity and field against the schema before you query it: one unverified field fails the whole query at runtime, and schema.graphql is too large to eyeball — look it up.

import { createDataSDK, gql } from "@salesforce/platform-sdk"; // gql tags the query string so codegen + eslint validate it

const sdk = await createDataSDK();
const result = await sdk.graphql!.query({ query: GET_ACCOUNTS, variables });
if (result.errors?.length) throw new Error(result.errors.map((e) => e.message).join("; "));
const rows = result.data?.uiapi?.query?.Account?.edges?.map((e) => e.node) ?? []; // unwrap edges/node; read field values via .value

Typed call params (query<GetAccountsQuery, GetAccountsQueryVariables>), the CacheControl type, and NodeOfConnection<T> (extracts a node type from a Connection for clean typing) all live in references/sdk-api.md.

This changed (breaking — PR #502). The previous callable sdk.graphql(...) form and the previous package name are dead — the code above is the only correct form. If you encounter the old API in existing code (or a stale dist/ artifact), don't copy it; convert it per Working on existing code. sdk.graphql! is WebApp-only. The non-null assertion above is correct only if the bundle runs solely on WebApp. On other surfaces it can crash — decide before you write it. See Surfaces — ! vs guard below.

---

Surfaces — sdk.graphql! vs guard

createDataSDK() runs on multiple surfaces, and sdk.graphql / sdk.fetch are genuinely optional (typed graphql?: …). Whether you may assert them with ! depends entirely on where the bundle runs — this is the one surface decision that turns into a runtime crash if you get it wrong, so make it explicitly before writing any query/mutate call:

Surface(s)sdk.graphqlWrite
WebApp onlyalways presentsdk.graphql!.query({...}) — ! is safe; every shipped WebApp consumer uses it
Mosaic / OpenAI / MCPApps (or any bundle that might run off-WebApp)can be undefinedguard first (if (!sdk.graphql) return …), then call

Rule of thumb: if you cannot prove the bundle is WebApp-only, guard. A bare sdk.graphql! that later ships to another surface throws Cannot read properties of undefined at runtime — TypeScript won't catch it because ! silences exactly that check (same applies to sdk.fetch!). The portable guard snippet lives in references/sdk-api.md.

---

Step 0 — Route the task

The task is…Go to
Read recordsRead workflow below
Create / update / delete recordsWrite workflow below
Object/field metadata, picklist values, related-list metadata, aggregationsBeyond record CRUD below
Data is stale / "add a refresh button" / "cache it longer"Freshness & caching below
Something GraphQL can't express (Apex REST, file upload, Einstein)references/rest-and-integration.md
Migrating old sdk.graphql?.(query, vars) codeWorking on existing code below

GraphQL covers far more than record reads and writes — prefer it for anything the uiapi namespace exposes (see Beyond record CRUD). Reach for REST only when the data genuinely lives outside uiapi (Apex REST, file upload, Einstein) — see references/rest-and-integration.md.

---

Preconditions — verify before writing any query

<skill-dir> below is wherever this skill is installed (the directory this SKILL.md loaded from). The schema-lookup script ships inside it. The script does not hunt for schema.graphql by walking up the tree — an ancestor schema can belong to a different org and would validate fields against the wrong one. Resolve the schema explicitly: run from the SFDX project root (where schema.graphql lives), or pass --schema <path> / set GRAPHQL_SCHEMA=<path>. The script echoes the schema it resolved ([graphql-search] using schema: … on stderr) — glance at it to confirm you grounded against the right file.

#RequirementVerifyIf missing
1@salesforce/platform-sdk installedpackage.json in the UI bundle dirTell user to install it; cannot proceed
2A grounding tool resolvesPreferred: npx graphiti sf-gql-discover '{"org":"<alias>","mode":"list_objects"}' from the UI bundle dir returns objects. Fallback: bash <skill-dir>/scripts/graphql-search.sh <Entity> from the project root prints a lookup, not "schema.graphql not found"No graphiti dep / org won't prime → use the script. Script can't find schema.graphql → pass --schema <path>, or npm run graphql:schema from the UI bundle dir. (references/graphiti-cli.md covers CLI setup)
3Target objects/fields deployedThe object appears in sf-gql-discover (or graphql-search.sh <Entity> returns output)Entity absent usually means it isn't deployed (or the cache/schema is stale). Refresh: npx graphiti sf-gql-connect '{"org":"<alias>","forceRefresh":true}' (CLI) or npm run graphql:schema (script). If still absent, deploy the metadata (the platform-metadata-deploy skill handles this) and assign the permission sets, then re-check

If preconditions aren't met you may still scaffold components, routes, and layout — but use empty arrays / null for data, mark query sites with // TODO: add query after schema verification, and add a plan item to return. Do not write GraphQL strings until the schema workflow is complete.

---

Read workflow

  1. Look up the schema first — never guess a name. Preferred (graphiti): when the exact

API name is at all uncertain, list before you describe — npx graphiti sf-gql-discover '{"org":"<alias>","mode":"list_objects","search":"<intent>"}' to find the real name, then npx graphiti sf-gql-discover '{"org":"<alias>","mode":"describe_object","object":"<Entity>"}' for exact field/type names, picklist values, filterable/sortable. An empty list or missing object is a fact about the org (wrong name or not deployed), not a tool failure — re-list or forceRefresh; do not fall back to the script for this (see guardrail 2). Fallback is only for a CLI that genuinely can't run (no graphiti dep / org won't prime): bash <skill-dir>/scripts/graphql-search.sh <Entity> from the SFDX project root. (Full rules: references/graphql-hand-authoring.md.)

  1. Write the query. Preferred — compile it with graphiti:

npx graphiti sf-gql-list '{"org":"<alias>","object":"<Entity>","fields":[…],"first":N}' returns a { query, variables, types, warnings } envelope with @optional, value/displayValue, edges/node, and first:/pageInfo already applied. Confirm warnings: [] (a non-empty array means the object wasn't in the primed schema — the query is degraded; don't ship it), then paste the query verbatim into inline gql (simple) or an external .graphql file (one operation per file, imported with the bundler's ?raw suffix — import Q from "./q.graphql?raw" brings the file in as a plain string). Fallback — hand-author: apply @optional to every selectable FLS-gated field — scalar leaf fields (Name @optional { value }) and parent/child relationships and the fields inside them — but NOT on Id, on connection plumbing (edges, node, the connection field itself), or on pageInfo; the graphiti output leaves those bare and is the canonical placement. Always set first:, include pageInfo if it may page. Either way, full mechanics and the primed-vs-degraded behavior: references/graphiti-cli.md.

  1. Generate types — npm run graphql:codegen (from the UI bundle dir) →

src/api/graphql-operations-types.ts.

  1. Call query() with the generated types:
   import type { GetAccountsQuery, GetAccountsQueryVariables } from "../graphql-operations-types";

   const result = await sdk.graphql!.query<GetAccountsQuery, GetAccountsQueryVariables>({
     query: GET_ACCOUNTS,
     variables: { first: 20 },
     // cacheControl,            // optional — see Freshness & caching
   });
  1. Handle the result. result.data + result.errors are the initial snapshot;

result.subscribe / result.refresh are the reactive handles. Always check errors before reading data:

   if (result.errors?.length) throw new Error(result.errors.map((e) => e.message).join("; "));
   const rows = result.data?.uiapi?.query?.Account?.edges?.map((e) => e.node) ?? [];

Defend consuming code with ?./?? (because @optional can omit fields). Error-handling stances (strict / tolerant / discriminated) and NodeOfConnection typing: references/sdk-api.md.

---

Write workflow

1–3 as above (schema lookup → write the mutation → codegen). To compile the mutation with graphiti, use sf-gql-create / sf-gql-update / sf-gql-delete — they emit the uiapi { <Object>Create(input: $input) { Record {…} } } shape; the types field tells you the input shape. Details: references/graphiti-cli.md.

  1. Call mutate() — note the option key is mutation, not query, and that

mutations are never cached. The runtime variables shape differs per operation — values are raw (never {value}-wrapped; that wrapper is a read-shape thing and breaks writes) and nest under the entity key:

   // create — input.<Entity> holds the new field values
   variables: { input: { Account: { Name: "Acme", Industry: "Technology" } } }
   // update — sibling Id alongside the entity key
   variables: { input: { Id: "001…", Account: { Industry: "Finance" } } }
   // delete — Id only, no entity key (generic RecordDeleteInput)
   variables: { input: { Id: "001…" } }

   const { data, errors } = await sdk.graphql!.mutate<CreateAccountMutation, CreateAccountMutationVariables>({
     mutation: CREATE_ACCOUNT,
     variables: { input: { Account: { Name: "Acme" } } },
   });
   if (errors?.length) throw new Error(errors.map((e) => e.message).join("; "));

This is the variables shape the spine owns; the CLI types-field interpretation is in references/graphiti-cli.md and the GraphQL-document field constraints (createable/updateable, ApiName references, @{alias} chaining) in references/graphql-hand-authoring.md.

  1. Re-freshen affected reads. mutate() has no refresh. To update a live list

after a write, hold the QueryResult from your earlier query() call (e.g. accountsResult) and call await accountsResult.refresh() (forced re-fetch, pushes to subscribers) — note this is the read's handle, not anything mutate() returns. See Freshness & caching.

Mutation syntax is exacting: wrap under uiapi(input: { allOrNone: ... }), only createable/updateable fields, Create/Update output is always Record but Delete has no Record field — select Id only. Full template + chaining + constraints: references/graphql-hand-authoring.md.

---

Beyond record CRUD

The uiapi namespace is not just record reads/writes. Before reaching for REST, check whether GraphQL already covers it — the same sdk.graphql!.query() call, different sub-selection. The top-level uiapi fields:

NeedUseReturns
Query recordsuiapi { query { <Entity>(...) } }records (the Read workflow)
Counts / sums / grouped rollups without pulling rowsuiapi { aggregate { <Entity>(groupBy: …) } }aggregated buckets
Object/field metadata — labels, data types, createable/updateable, record typesuiapi { objectInfos(apiNames: […]) }ObjectInfo[]
Picklist values (per record type)uiapi { objectInfos(objectInfoInputs: […]) { fields … on PicklistField { … } } }picklist values
Related-list metadata — display columns, ordering for a parent's related listuiapi { relatedListByName(parentApiName, relatedListName) }RelatedListInfo

Same rules as record reads: verify every type/field first, @optional where FLS applies, check result.errors. Aggregations can be compiled with npx graphiti sf-gql-aggregate (pass groupBy + aggregations); object metadata / picklists / related lists are hand-authored — templates: references/graphql-hand-authoring.md.

Two related capabilities (the current-user record and layout delivery) need confirmation against a current org schema before this skill documents a query shape — tracked as a follow-up, not yet covered here.

---

Freshness & caching

Caching is ON by default on WebApp. Every sdk.graphql!.query() is cached with a 300-second max-age TTL — no opt-in flag, no factory, no import subpath. Do not build your own cache (no React Query, SWR, localStorage, or hand-rolled Map). The cache is shared across SDK instances by baseUrl: the same query+variables from a different createDataSDK() targeting the same host is a cache hit. Only non-empty, error-free data is cached. mutate() is never cached.

There are two distinct freshness tools — keep them separate:

  1. Per-call cacheControl — a one-shot policy override on the query options bag

("no-cache" / "only-if-cached" / { type: "max-age", maxAge: <seconds> }). The type and exact per-value behavior live in references/sdk-api.md. Take cacheControl as an optional param on the read function and expose each distinct policy as a thin named export in the same data-layer file — a "call site" is a named export, not a new React component. For getAccounts(first, after?, cacheControl?): export const refreshAccounts = () => getAccounts(20, undefined, "no-cache") (and likewise offlineAccounts → "only-if-cached", shortLivedAccounts → { type: "max-age", maxAge: 10 }). Keep the policy in the data layer.

  1. Reactive subscribe / refresh — a stateful handle on a live QueryResult:

result.subscribe(cb) fires on every later snapshot, result.refresh() re-fetches bypassing the cache and pushes to subscribers. Shape in references/sdk-api.md; subscription lifecycle (always unsubscribe on teardown) in references/caching.md.

WantReach for
Freshness within ~5 min is finenothing (default cache)
This one read must bypass the cache (refresh button)cacheControl: "no-cache"
Read only cached data, tolerate misses (offline-first)cacheControl: "only-if-cached" — a miss is expected, not an error: it surfaces a DataNotFoundError on result.errors (no network, no throw). Check result.errors, render empty state, do not throw and do not fall back to the network — that defeats offline-first.
Tighter/looser TTL for this querycacheControl: { type: "max-age", maxAge: 60 } (maxAge is in seconds)
Mounted component reflects updates over timeresult.subscribe(cb)
Re-fetch now + notify all subscribers (e.g. after a mutation)result.refresh()

cacheControl is fire-and-forget at call time; subscribe/refresh is a live handle. Different mechanisms, different jobs — don't conflate "refresh" with "no-cache". Full behavior, the reactive-subscription lifecycle, and uncached-surface caveats: references/caching.md.

---

Working on existing code (migration)

Only enter this path if the existing code actually uses the old API — i.e. it imports @salesforce/sdk-data or calls the callable sdk.graphql(query, vars) form. For any new read/write, ignore migration entirely and use the Read workflow / Write workflow — those already show the only correct API.

When you do have old code to convert, see references/migration.md for the before→after diff (imports, query/mutate calls, optional-chaining → non-null assertion, codegen type placement) and a checklist. The target API is exactly what the Read/Write workflows above prescribe — migrating is just swapping the old form for that.

---

Platform guardrails — never regress these

These are Salesforce GraphQL platform behaviors, independent of the SDK. Violations cause silent runtime failures. (Details + templates: references/graphql-hand-authoring.md.)

  1. HTTP 200 ≠ success — always parse result.errors; the Promise resolves even on failure.
  2. Schema is the only source of truth — verify, never invent. Verify every

entity/field/type via graphiti sf-gql-discover (preferred) or bash <skill-dir>/scripts/graphql-search.sh <Entity> before use. Case-sensitive; __c/__e; _Record entity suffix (v60+). When graphiti is primed, a "not found"/empty/Cannot query field answer (including from graphql-codegen/@graphql-eslint, even when the message points at schema.graphql) is a fact about the org — wrong name or undeployed/inaccessible metadata, not a tool failure: fix the operation, or deploy the metadata (the platform-metadata-deploy skill) + assign perms + refresh (sf-gql-connect --forceRefresh / npm run graphql:schema). Do not fall back to the script, hand-author around it, or guess a name — a guessed entity or field silently fails the whole query at runtime; if lookups aren't converging, ask the user rather than keep spiraling. schema.graphql and the codegen output (src/api/graphql-operations-types.ts) are read-only generated mirrors — never open or edit them (honor any # DO NOT EDIT marker). Hand-adding a missing type satisfies codegen/lint but grants no org access; it just hides the failure until runtime. Fall back to the script only when the CLI can't run at all (no dep / SCHEMA_PRIME_FAILED).

  1. @optional on every FLS-gated field at each nesting level — scalar leaf fields plus each

parent/child relationship and the fields inside it (FLS fails the whole query otherwise, v65+). Do NOT decorate Id, the connection plumbing (edges, node, the connection field), or pageInfo — those are not FLS-gated and the graphiti output leaves them bare. Consume with ?./??. Placement rules: references/graphql-hand-authoring.md.

  1. Mutations wrap under uiapi(input: { allOrNone: ... }); set allOrNone explicitly;

output excludes child/navigated-reference fields; the output field is literally named Record (unrelated to the _Record entity suffix in rule 2) — Delete → Id only. GA v66+.

  1. Explicit pagination — always set first:, because the server silently caps at 10 and

you'll drop rows with no error; forward-only (first/after, no last/before); upperBound (v59+) raises the per-request ceiling for large sets (when set, first must be 200–2000).

  1. SOQL governor limits apply — uiapi queries compile to SOQL, so the same governor

limits are inherited: ≤10 subqueries, ≤5 child→parent levels, ≤1 parent→child level, ≤2,000 records/subquery. Split into multiple requests if you'd exceed them.

  1. Field value wrappers — read the raw value via .value; displayValue is the

server-formatted string for UI. When a field is both shown and operated on (currency, dates, picklists), select both value and displayValue so you don't reformat on the client. Display-only fields can take just displayValue.

  1. Compound fields — filter/order on constituents (BillingCity), not the wrapper (BillingAddress).
  2. Supported APIs only — GraphQL (uiapi), UI API REST, Apex REST, Connect REST,

Einstein LLM via sdk.fetch. NOT: Enterprise SOQL /query, Aura-enabled Apex, Chatter (use uiapi.currentUser). See references/rest-and-integration.md.

One SDK convention lives in the workflows, not this list (it's not a platform behavior): always run npm run graphql:codegen and use the generated types after writing an operation (Read workflow step 3). Also in the Pre-flight checklist. graphiti applies most of these for you. When you compile a query with sf-gql- against an object that's in the primed schema, rules 3 (@optional), 4 (mutation Record output* envelope and entity-keyed input — not allOrNone, which you still add yourself), 5 (first:/pageInfo), and 7 (value/displayValue wrappers) come out already satisfied — which is exactly why you paste the query verbatim rather than re-deriving it. Rules 1 (check result.errors), 6 (governor limits), 8 (compound fields), and 9 (supported APIs) are still on you. And the automation only fires when the object is primed: a non-empty warnings array means it isn't, and the emitted query is degraded (bare fields, no guardrails) — see references/graphiti-cli.md.

---

Commands & layout

<skill-dir>/                            ← wherever this skill is installed
└── scripts/graphql-search.sh           ← schema lookup (ships with the skill)

<project-root>/                         ← SFDX project root; run the script from here
├── schema.graphql                      ← generated mirror; grep target (never open or edit; script reads ./schema.graphql)
└── force-app/main/default/uiBundles/<app>/   ← UI bundle dir
    ├── package.json                    ← npm scripts
    └── src/api/                        ← queries, generated types, SDK calls
CommandRun fromPurpose
npx graphiti sf-gql-discover '{…}'UI bundle dirDiscover objects/fields against the live org (preferred grounding)
`npx graphiti sf-gql-<list\detail\aggregate\create\update\delete\raw> '{…}'`UI bundle dirCompile a guardrail-applied query/mutation (references/graphiti-cli.md)
npx graphiti sf-gql-connect '{"org":"<alias>","forceRefresh":true}'UI bundle dirRefresh graphiti's schema cache after a deploy
bash <skill-dir>/scripts/graphql-search.sh <Entity>project root (or pass --schema <path>; no tree walk-up)Schema lookup fallback (grep over local schema.graphql)
npm run graphql:schemaUI bundle dirFetch/refresh schema.graphql (for the fallback script)
npm run graphql:codegenUI bundle dirGenerate operation types
npx eslint <file>UI bundle dirLint (catches gql schema violations)

Pre-flight checklist

  • [ ] Surface decided: sdk.graphql! only if WebApp-only; otherwise guard with if (!sdk.graphql) … (Surfaces)
  • [ ] Every field/entity verified — sf-gql-discover (preferred) or graphql-search.sh (fallback, against the right schema)
  • [ ] If compiled with graphiti: warnings: [] confirmed (non-empty = degraded query, don't ship); query pasted verbatim
  • [ ] @optional on FLS-gated fields + relationships (NOT Id/edges/node/pageInfo); ?./?? in consuming code
  • [ ] result.errors checked before reading result.data
  • [ ] Caching considered: default 300s OK, or cacheControl / refresh chosen deliberately
  • [ ] npm run graphql:codegen run; generated types used; npx eslint passes

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Launch OpenClaw or Hermes on Hostinger in 60 seconds logoLaunch OpenClaw or Hermes on Hostinger in 60 seconds

Your OpenClaw or Hermes agent, live around the clock on a Hostinger VPS. Set up in about 60 seconds, from a few dollars a month, with 20% off through this link.

Launch on Hostinger →
Launch your OpenClaw wrapper and start making money today logoLaunch your OpenClaw wrapper and start making money today

Auth, billing, and AI already wired in. Skip months of boilerplate and get paying customers now, not next quarter.

See the kit →
Launch your own OpenClaw agent in one click logoLaunch your own OpenClaw agent in one click

A live, always-on OpenClaw agent that handles your tasks around the clock. No servers, no setup — pick a model, connect Telegram, and it starts working.

Try it for free →
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you →
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
CLN.Work — Stop prompting, start hiring AI employees logoCLN.Work — Stop prompting, start hiring AI employees

Turn your Claude agents into a real team — onboard them, assign tasks, and manage them like staff.

Hire AI employees →
Launch OpenClaw or Hermes on Hostinger in 60 seconds logoLaunch OpenClaw or Hermes on Hostinger in 60 seconds

Your OpenClaw or Hermes agent, live around the clock on a Hostinger VPS. Set up in about 60 seconds, from a few dollars a month, with 20% off through this link.

Launch on Hostinger →
Launch your OpenClaw wrapper and start making money today logoLaunch your OpenClaw wrapper and start making money today

Auth, billing, and AI already wired in. Skip months of boilerplate and get paying customers now, not next quarter.

See the kit →
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