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Agent skill

Sf Datacloud Retrieve

by Jaganpro in Jaganpro/sf-skills

Salesforce Data Cloud Retrieve phase. An agent skill from Jaganpro/sf-skills.

MITAuto-check passedSales & Support

Install Sf Datacloud Retrieve

skills CLI
$ npx skills add Jaganpro/sf-skills --skill sf-datacloud-retrieve -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Jaganpro/sf-skills sf-datacloud-retrieve --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Jaganpro/sf-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sf-datacloud-retrieve .claude/skills/sf-datacloud-retrieve && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
sf-datacloud-retrieve
GitHub stars
424
Token cost
~1.4k tokens
SKILL.md length
373 words
Files
6
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

Salesforce Data Cloud Retrieve phase. An agent skill from Jaganpro/sf-skills.

  • Works in 5 steps: Classify readiness for retrieve work → Choose the smallest correct query shape → Use describe before guessing fields → …
  • : user runs Data Cloud SQL
  • SKILL.md covers When This Skill Owns the Task, Required Context to Gather First, Core Operating Rules and Recommended Workflow, plus 3 more sections
  • Calls sf and node

What it does

Sf Datacloud Retrieve is an agent skill from Jaganpro/sf-skills. Salesforce Data Cloud Retrieve phase. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use sf-soql), segment creation or calculated insight design (use sf-datacloud-segment), or STDM/session tracing/parquet analysis (use sf-ai-agentforce-observability).

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files (for example `CREDITS.md`, `README.md` and `examples/search-indexes/hybrid-structured.json`). Compatibility notes: Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org

It sits in Sales & Support, covering CRM management, Vector databases and DataFrames. It works with SQL and Salesforce. The repository describes itself as: [ARCHIVED — migrated to forcedotcom/afv-library] Salesforce Skills for Agentic Coding Tools — Apex, Flow, LWC, SOQL, Agentforce, Data Cloud, OmniStudio. Read-only archive; active… The licence is MIT.

When your agent uses it

  • : user runs Data Cloud SQL
  • Search-index workflows
  • Metadata introspection for Data Cloud objects
  • : the task is standard CRM SOQL (use sf-soql)

Example prompts

  • “/sf-datacloud-retrieve”

Requirements

  • Compatibility (from SKILL.md): Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Classify readiness for retrieve work
  2. Choose the smallest correct query shape
  3. Use describe before guessing fields
  4. Use vector or hybrid search only when an index exists
  5. Reuse curated search-index examples when creating indexes

What it can do on your machine

Read from SKILL.md and the folder at commit 53c9956. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • sf
    • node

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org

    From compatibility in the SKILL.md frontmatter.

Context cost

Sf Datacloud Retrieve loads about 1.4k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 373 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Jaganpro/sf-skills at commit 53c9956, republished under its MIT licence (© Jaganpro). 373 words, ~1,375 tokens.

Download SKILL.mdSave it as .claude/skills/sf-datacloud-retrieve/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
sf-datacloud-retrieve
description
Salesforce Data Cloud Retrieve phase. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use sf-soql), segment creation or calculated insight design (use sf-datacloud-segment), or STDM/session tracing/parquet analysis (use sf-ai-agentforce-observability).
compatibility
Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org
license
MIT
metadata.version
1.0.0
metadata.author
Gnanasekaran Thoppae
metadata.phase
Retrieve

sf-datacloud-retrieve: 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 sf-datacloud-retrieve when the work involves:

  • sf data360 query *
  • sf data360 search-index *
  • sf data360 metadata *
  • sf data360 profile * or sf data360 insight * inspection
  • understanding Data Cloud SQL results or query shape

Delegate elsewhere when the user is:

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 ~/.claude/skills/sf-datacloud/scripts/diagnose-org.mjs -o <org> --phase retrieve --json.
  • Use describe before guessing columns.
  • Prefer sqlv2 or 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.
1. Classify readiness for retrieve work
bash
node ~/.claude/skills/sf-datacloud/scripts/diagnose-org.mjs -o <org> --phase retrieve --json
# optional query-plane probe, only with a real table name
node ~/.claude/skills/sf-datacloud/scripts/diagnose-org.mjs -o <org> --phase retrieve --describe-table MyDMO__dlm --json
2. Choose the smallest correct query shape
bash
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/null
Show full SKILL.md (150 more words)Show less
3. Use describe before guessing fields
bash
sf data360 query describe -o <org> --table ssot__Individual__dlm 2>/dev/null
4. Use vector or hybrid search only when an index exists
bash
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/null
5. Reuse curated search-index examples when creating indexes

Use the phase-owned examples instead of inventing JSON from scratch:

  • examples/search-indexes/vector-knowledge.json
  • examples/search-indexes/hybrid-structured.json

High-Signal Gotchas

  • Data Cloud SQL is not SOQL.
  • Table names should be double-quoted in SQL.
  • sqlv2 is 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 describe is not a universal tenant probe; only run it with a known DMO or DLO table after broader readiness has been confirmed.

Output Format

text
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

© Jaganpro, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files in skills/sf-datacloud-retrieve of Jaganpro/sf-skills.

  • SKILL.md
  • CREDITS.md
  • LICENSE
  • README.md
  • examples/search-indexes/hybrid-structured.json
  • examples/search-indexes/vector-knowledge.json

Open the folder on GitHubat commit 53c9956

Compare with similar skills

Sf Datacloud Retrieve next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Sf Datacloud Retrieve compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sf Datacloud Retrieve this skillJaganpro/sf-skills424—~1.4kAutomated safety check: PassMIT
Salesforce Observabilityjeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Rift Backend EffectCompound-inc/rift124—~1.8kAutomated safety check: PassCustom licence
Ops Telemetry Queryboundless-xyz/boundless193—~3.8kAutomated safety check: PassApache-2.0
Suede RevopsJasonColapietro/suede-creator-skills127—~3.8kAutomated safety check: PassMIT
RevopsAvdLee/RocketSimApp8036 repos~3.7kAutomated safety check: PassCustom licence

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Works with

Categories

Questions about Sf Datacloud Retrieve

What does Sf Datacloud Retrieve do?

Salesforce Data Cloud Retrieve phase. An agent skill from Jaganpro/sf-skills. Sf Datacloud Retrieve is an agent skill from Jaganpro/sf-skills. Salesforce Data Cloud Retrieve phase.

When should I use Sf Datacloud Retrieve?

Sf Datacloud Retrieve fits situations like: : user runs Data Cloud SQL; search-index workflows; metadata introspection for Data Cloud objects; : the task is standard CRM SOQL (use sf-soql).

How do I install Sf Datacloud Retrieve in Claude Code?

Run `npx skills add Jaganpro/sf-skills --skill sf-datacloud-retrieve -a claude-code`. Or copy the skill folder (skills/sf-datacloud-retrieve in Jaganpro/sf-skills) into .claude/skills/sf-datacloud-retrieve in your project. Claude Code loads it when a task matches its description.

How do I install Sf Datacloud Retrieve in Codex?

Run `npx skills add Jaganpro/sf-skills --skill sf-datacloud-retrieve -a codex`. Or copy the skill folder (skills/sf-datacloud-retrieve in Jaganpro/sf-skills) into .agents/skills/sf-datacloud-retrieve in your project. Codex loads it when a task matches its description.

Can I use Sf Datacloud Retrieve in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jaganpro/sf-skills --skill sf-datacloud-retrieve -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sf-datacloud-retrieve, .gemini/skills/sf-datacloud-retrieve, .github/skills/sf-datacloud-retrieve and .opencode/skills/sf-datacloud-retrieve in your project.

What does Sf Datacloud Retrieve need to run?

Going by SKILL.md and its folder, Sf Datacloud Retrieve needs the command-line tools its instructions call (sf and node). Compatibility (from SKILL.md): Requires an external community sf data360 CLI plugin and a Data Cloud-enabled org.

Does Sf Datacloud Retrieve access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Sf Datacloud Retrieve safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Sf Datacloud Retrieve use?

Sf Datacloud Retrieve is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sf Datacloud Retrieve use?

About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Sf Datacloud Retrieve?

Skills that share tags, products or a category with Sf Datacloud Retrieve: Salesforce Observability (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Rift Backend Effect (Compound-inc/rift, 124 stars), Ops Telemetry Query (boundless-xyz/boundless, 193 stars) and Suede Revops (JasonColapietro/suede-creator-skills, 127 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sf Datacloud Retrieve?

Jaganpro (a GitHub user) maintains it in Jaganpro/sf-skills, which has 424 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on April 27, 2026.

Source: Jaganpro/sf-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.