
Implementing Ui Bundle File Upload
- 2.1k installs
- 763 repo stars
- Updated July 24, 2026
- forcedotcom/sf-skills
implementing-ui-bundle-file-upload is a Salesforce UI bundle skill for upload() APIs with progress and ContentVersion linking.
About
The implementing-ui-bundle-file-upload skill guides React UI bundle file uploads using @salesforce/ui-bundle-template-feature-react-file-upload programmatic APIs only, not prebuilt components. Install the package when uiBundles/*/src exists and the task involves attaching or dropping files. Pattern A uploads files and returns contentBodyId without record linking for deferred attachment flows. Pattern B passes recordId to create ContentVersion records linked immediately to existing Accounts, Opportunities, or Cases. Pattern C uploads first, creates the record, then calls createContentVersion to link contentBodyId values after form submission. The upload function exposes onProgress callbacks for custom progress UI because FileUpload components and useFileUpload hooks are not exported. Reference demo components illustrate UI ideas but must be rebuilt locally. The skill pairs with Salesforce data access skills for record creation and forbids rolling custom FormData or XHR upload stacks when this API package is available.
- API-only package: build custom UI around upload() and onProgress.
- Three patterns cover deferred, immediate, and post-create record linking.
- Returns contentBodyId and optional contentVersionId per uploaded file.
- Explicitly rejects expecting exported FileUpload components or hooks.
- Install @salesforce/ui-bundle-template-feature-react-file-upload in UI bundles.
Implementing Ui Bundle File Upload by the numbers
- 2,112 all-time installs (skills.sh)
- +7 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #217 of 2,277 Frontend Development skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
implementing-ui-bundle-file-upload capabilities & compatibility
- Capabilities
- upload() api with onprogress callbacks · immediate and deferred contentversion linking pa · contentbodyid capture for multi step forms · custom ui guidance without exported components · package install and ui bundle activation rules
- Use cases
- frontend · api development · ui design
What implementing-ui-bundle-file-upload says it does
ALWAYS use this instead of building file upload from scratch with FormData or XHR
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| Installs | 2.1k |
|---|---|
| repo stars | ★ 763 |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 24, 2026 |
| Repository | forcedotcom/sf-skills ↗ |
How do I add file upload with progress to a Salesforce React UI bundle?
Add Salesforce UI bundle file upload with progress tracking via upload() APIs and ContentVersion linking patterns.
Who is it for?
uiBundles projects attaching files to Salesforce records with progress tracking.
Skip if: Skip for non-UI-bundle apps or raw FormData uploads when this API package applies.
When should I use this skill?
User adds file upload, attachments, or dropzones under uiBundles/*/src.
What you get
Custom upload UI wired to upload() with correct deferred or immediate ContentVersion linking.
- upload() integration
- Progress-tracked upload UI
By the numbers
- Skill metadata version 1.0
- Targets uiBundles/*/src/ directory layout
Files
data360-query: Data Cloud Retrieve Phase
Use this skill when the user needs query, search, and metadata introspection for Data Cloud: sync SQL, paginated SQL, async query workflows, table describe, vector search, hybrid search, or search index operations.
When This Skill Owns the Task
Use data360-query when the work involves:
sf data360 query *sf data360 search-index *sf data360 metadata *sf data360 profile *orsf data360 insight *inspection- understanding Data Cloud SQL results or query shape
Delegate elsewhere when the user is:
- writing standard CRM SOQL only → platform-soql-query
- designing segment or calculated insight assets → data360-segment
- analyzing STDM/session tracing/parquet telemetry → agentforce-observe
---
Required Context to Gather First
Ask for or infer:
- target org alias
- whether the user needs quick count, medium result set, large export, schema inspection, or semantic search
- table/index name if known
- whether the task is read-only SQL or search-index lifecycle management
---
Core Operating Rules
- Treat Data Cloud SQL as its own query language, not SOQL.
- Run the shared readiness classifier before relying on query/search surfaces:
node ../data360-orchestrate/scripts/diagnose-org.mjs -o <org> --phase retrieve --json. - Use describe before guessing columns.
- Prefer
sqlv2or async query flows for larger result sets. - Use vector search or hybrid search only when the search index lifecycle is healthy.
- Keep STDM/parquet/session-tracing workflows out of this skill family.
---
Recommended Workflow
1. Classify readiness for retrieve work
node ../data360-orchestrate/scripts/diagnose-org.mjs -o <org> --phase retrieve --json
# optional query-plane probe, only with a real table name
node ../data360-orchestrate/scripts/diagnose-org.mjs -o <org> --phase retrieve --describe-table MyDMO__dlm --json2. Choose the smallest correct query shape
sf data360 query sql -o <org> --sql 'SELECT COUNT(*) FROM "ssot__Individual__dlm"' 2>/dev/null
sf data360 query sqlv2 -o <org> --sql 'SELECT * FROM "ssot__Individual__dlm"' 2>/dev/null
sf data360 query async-create -o <org> --sql 'SELECT * FROM "ssot__Individual__dlm"' 2>/dev/null3. Use describe before guessing fields
sf data360 query describe -o <org> --table ssot__Individual__dlm 2>/dev/null4. Use vector or hybrid search only when an index exists
sf data360 search-index list -o <org> 2>/dev/null
sf data360 query vector -o <org> --index Knowledge_Index --query "reset password" --limit 5 2>/dev/null
sf data360 query hybrid -o <org> --index Knowledge_Index --query "reset password" --limit 5 2>/dev/null
sf data360 query hybrid -o <org> --index Insurance_Index --query "weather damage coverage" --prefilter "Type_of_Insurance__c='Home'" --limit 10 2>/dev/null5. Reuse curated search-index examples when creating indexes
Use the phase-owned examples instead of inventing JSON from scratch:
examples/search-indexes/vector-knowledge.jsonexamples/search-indexes/hybrid-structured.json
---
High-Signal Gotchas
- Data Cloud SQL is not SOQL.
- Table names should be double-quoted in SQL.
sqlv2is better than ad hoc OFFSET paging for medium result sets.- async query is preferable for large results.
- search-index operations and vector/hybrid queries depend on the index lifecycle being healthy.
- Hybrid search can use
--prefilter, but only on fields configured as prefilter-capable when the search index was created. - HNSW index parameters are typically read-only on create; leave
userValues: []unless the platform explicitly documents otherwise. query describeis not a universal tenant probe; only run it with a known DMO or DLO table after broader readiness has been confirmed.
---
Output Format
Retrieve task: <sql / sqlv2 / async / describe / vector / search-index>
Target org: <alias>
Target object: <table or index>
Commands: <key commands run>
Verification: <query rows / schema / status>
Next step: <segment / harmonize / follow-up>---
References
- README.md
- examples/search-indexes/vector-knowledge.json
- examples/search-indexes/hybrid-structured.json
- ../data360-orchestrate/assets/definitions/search-index.template.json
- ../data360-orchestrate/references/plugin-setup.md
- ../data360-orchestrate/references/feature-readiness.md
Credits & Acknowledgments
Primary contributor: Gnanasekaran Thoppae
This skill is part of the *-datacloud family. Shared attribution, upstream source mapping, and maintenance notes live in:
- ../data360-orchestrate/CREDITS.md
- ../data360-orchestrate/UPSTREAM.md
{
"label": "<INDEX_NAME>",
"developerName": "<INDEX_NAME>",
"description": "Hybrid search index on a structured Data Cloud DMO",
"sourceDmoDeveloperName": "<SOURCE_DMO>__dlm",
"chunkDmoName": "<INDEX_NAME> chunk",
"chunkDmoDeveloperName": "<INDEX_NAME>_chunk",
"vectorDmoName": "<INDEX_NAME> index",
"vectorDmoDeveloperName": "<INDEX_NAME>_index",
"searchType": "HYBRID",
"vectorEmbedding": {
"vectorEmbeddingRelatedFields": []
},
"rankingConfigurations": [],
"chunkingConfiguration": {
"fieldLevelConfigurations": [
{
"sourceDmoDeveloperName": "<SOURCE_DMO>__dlm",
"sourceDmoFieldDeveloperName": "<TEXT_FIELD>__c",
"config": {
"id": "passage_extraction",
"userValues": [
{ "id": "max_tokens", "value": "512" },
{ "id": "strip_html", "value": "true" }
]
}
}
]
},
"vectorEmbeddingConfiguration": {
"embeddingModel": {
"id": "e5_large_v2",
"userValues": [
{ "id": "dimension", "value": "1024" },
{ "id": "max_token_limit", "value": "512" }
]
},
"index": {
"id": "HNSW",
"userValues": []
},
"similarityMetric": "COSINE"
}
}
{
"label": "My_kav",
"developerName": "My_kav",
"sourceDmoDeveloperName": "ssot__KnowledgeArticleVersion__dlm",
"chunkDmoName": "My_kav chunk",
"chunkDmoDeveloperName": "My_kav_chunk",
"vectorDmoName": "My_kav index",
"vectorDmoDeveloperName": "My_kav_index",
"searchType": "VECTOR",
"vectorEmbedding": {
"vectorEmbeddingRelatedFields": []
},
"chunkingConfiguration": {
"fieldLevelConfigurations": [
{
"sourceDmoDeveloperName": "ssot__KnowledgeArticleVersion__dlm",
"sourceDmoFieldDeveloperName": "ssot__Name__c",
"config": {
"id": "passage_extraction",
"userValues": [
{ "id": "strip_html", "value": "true" },
{ "id": "max_tokens", "value": "512" }
]
}
}
]
},
"vectorEmbeddingConfiguration": {
"embeddingModel": {
"id": "e5_large_v2",
"userValues": [
{ "id": "dimension", "value": "1024" },
{ "id": "max_token_limit", "value": "512" }
]
},
"index": {
"id": "HNSW",
"userValues": []
},
"similarityMetric": "COSINE"
},
"rankingConfigurations": []
}
data360-query
Query and search workflows for Salesforce Data Cloud.
Use this skill for
- quick SQL counts
- paginated SQL (
sqlv2) - async query lifecycles
- table describe
- vector search
- hybrid search with optional prefilter
- search index inspection and lifecycle work
Example requests
"Run a Data Cloud SQL query against unified profiles"
"Describe this Data Cloud table before I write SQL"
"Help me troubleshoot vector search in Data Cloud"
"Run a hybrid search with a prefilter in Data Cloud"
"Create and inspect a search index"Common commands
sf data360 query sql -o myorg --sql 'SELECT COUNT(*) FROM "ssot__Individual__dlm"' 2>/dev/null
sf data360 query describe -o myorg --table ssot__Individual__dlm 2>/dev/null
sf data360 search-index list -o myorg 2>/dev/null
sf data360 query vector -o myorg --index Knowledge_Index --query "reset password" --limit 5 2>/dev/null
sf data360 query hybrid -o myorg --index Knowledge_Index --query "reset password" --limit 5 2>/dev/nullExample payloads
- examples/search-indexes/vector-knowledge.json
- examples/search-indexes/hybrid-structured.json
References
- SKILL.md
- ../data360-orchestrate/assets/definitions/search-index.template.json
- CREDITS.md
Related skills
Forks & variants (1)
Implementing Ui Bundle File Upload has 1 known copy in the catalog totaling 1.5k installs. They canonicalize to this original listing.
- forcedotcom - 1.5k installs
How it compares
Use implementing-ui-bundle-file-upload for Salesforce UI bundle upload(); use generic React upload patterns only outside uiBundles platform constraints.
FAQ
Are FileUpload React components exported?
No. Only programmatic APIs export; build your own input, dropzone, and progress UI.
When should I omit recordId on upload?
Use Pattern A or C when the target record does not exist yet or linking happens after creation.
What does onProgress provide?
Per-file status and percent progress for custom progress bars during upload.
Is Implementing Ui Bundle File Upload safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.