sf-soql

SOQL query generation, optimization, and analysis with 100-point scoring. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use sf-data), Apex DML logic (use sf-apex), or report/dashboard queries.

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Install skill "sf-soql" with this command: npx skills add jaganpro/sf-skills/jaganpro-sf-skills-sf-soql

sf-soql: Salesforce SOQL Query Expert

Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance/safety improvements for Salesforce queries.

When This Skill Owns the Task

Use sf-soql when the work involves:

  • .soql files
  • query generation from natural language
  • relationship queries and aggregate queries
  • query optimization and selectivity analysis
  • SOQL/SOSL syntax and governor-aware design

Delegate elsewhere when the user is:

  • performing bulk data operations → sf-data
  • embedding query logic inside broader Apex implementation → sf-apex
  • debugging via logs rather than query shape → sf-debug

Required Context to Gather First

Ask for or infer:

  • target object(s)
  • fields needed
  • filter criteria
  • sort / limit requirements
  • whether the query is for display, automation, reporting-like analysis, or Apex usage
  • whether performance / selectivity is already a concern

Recommended Workflow

1. Generate the simplest correct query

Prefer:

  • only needed fields
  • clear WHERE criteria
  • reasonable LIMIT when appropriate
  • relationship depth only as deep as necessary

2. Choose the right query shape

NeedDefault pattern
parent data from childchild-to-parent traversal
child rows from parentsubquery
counts / rollupsaggregate query
records with / without related rowssemi-join / anti-join
text search across objectsSOSL

3. Optimize for selectivity and safety

Check:

  • indexed / selective filters
  • no unnecessary fields
  • no avoidable wildcard or scan-heavy patterns
  • security enforcement expectations

4. Validate execution path if needed

If the user wants runtime verification, hand off execution to:


High-Signal Rules

  • never use SELECT * style thinking; query only required fields
  • do not query inside loops in Apex contexts
  • prefer filtering in SOQL rather than post-filtering in Apex
  • use aggregates for counts and grouped summaries instead of loading unnecessary records
  • evaluate wildcard usage carefully; leading wildcards often defeat indexes
  • account for security mode / field access requirements when queries move into Apex

Output Format

When finishing, report in this order:

  1. Query purpose
  2. Final SOQL/SOSL
  3. Why this shape was chosen
  4. Optimization or security notes
  5. Execution suggestion if needed

Suggested shape:

Query goal: <summary>
Query: <soql or sosl>
Design: <relationship / aggregate / filter choices>
Notes: <selectivity, limits, security, governor awareness>
Next step: <run in sf-data or embed in Apex>

Cross-Skill Integration

NeedDelegate toReason
run the query against an orgsf-dataexecution and export
embed the query in services/selectorssf-apeximplementation context
analyze slow-query symptoms from logssf-debugruntime evidence
wire query-backed UIsf-lwcfrontend integration

Reference Map

Start here

Specialized guidance


Score Guide

ScoreMeaning
90+production-optimized query
80–89good query with minor improvements possible
70–79functional but performance concerns remain
< 70needs revision before production use

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