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platform-soql-query

by @forcedotcomv
4.4(120)

此技能专门用于生成、优化和分析 Salesforce SOQL/SOSL 查询。它支持自然语言转查询、关系查询、聚合查询、查询计划分析以及性能优化,帮助开发者快速编写高效且安全的查询。

salesforcesoqlquery-optimizationdatabaseGitHub
安装方式
npx skills add https://github.com/forcedotcom/sf-skills --skill platform-soql-query
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Before / After 效果对比

1
使用前

在没有此技能之前,开发者需要手动编写 SOQL 查询,反复查阅语法文档并调整筛选条件,平均耗时 60 分钟。

使用后

使用此技能后,开发者只需用自然语言描述需求,即可自动生成优化后的查询,平均耗时降至 10 分钟。

SKILL.md

platform-soql-query: 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 platform-soql-query 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:


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 — use references/soql-syntax-reference.md for exact syntax:

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

Cross-Skill Integration

NeedDelegate toReason
run the query against an orgplatform-data-manageexecution and export
embed the query in services/selectorsplatform-apex-generateimplementation context
analyze slow-query symptoms from logsplatform-apex-logs-debugruntime evidence
wire query-backed UIexperience-lwc-generatefrontend integration

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

Reference File Index

FileWhen to read
references/soql-syntax-reference.mdSyntax, operators, date literals, relationship query patterns
references/query-optimization.mdSelectivity rules, indexing strategy, governor limits, security patterns
references/soql-reference.mdQuick reference — operators, date functions, aggregate functions, WITH clauses
references/anti-patterns.mdCommon SOQL mistakes and their fixes — read before finalizing any query
references/selector-patterns.mdApex selector layer patterns — read when embedding queries in Apex classes
references/field-coverage-rules.mdField coverage validation — read when generating SOQL used inside Apex code
references/cli-commands.mdsf CLI query execution, bulk export, query plan commands
assets/basic-queries.soqlStarter query examples for common objects
assets/relationship-queries.soqlParent-to-child and child-to-parent relationship query patterns
assets/aggregate-queries.soqlCOUNT, SUM, GROUP BY, ROLLUP query patterns
assets/optimization-patterns.soqlSelective filter and index-aware query patterns
assets/bulkified-query-pattern.clsApex Map-based bulk query pattern for trigger contexts
assets/selector-class.clsFull selector class implementation template
scripts/post-tool-validate.pyPost-write hook — runs static SOQL validation and live query plan analysis after .soql file edits

platform-soql-query

Salesforce SOQL query generation, optimization, and analysis skill with 100-point scoring. Convert natural language into performant SOQL and validate queries for security, selectivity, and governor-limit awareness.

Features

  • Natural Language to SOQL: Convert requests into executable queries
  • Query Optimization: Improve selectivity, LIMIT usage, and field selection
  • Relationship Queries: Parent-child, child-parent, and polymorphic patterns
  • Security Guidance: WITH USER_MODE, WITH SECURITY_ENFORCED, and Apex-safe usage
  • 100-Point Scoring: Performance, correctness, security, and readability checks

Quick Start

1. Invoke the skill

Skill: platform-soql-query
Request: "Find Accounts with open Opportunities created this quarter"

2. Typical use cases

  • Generate SOQL from plain-English requirements
  • Optimize slow or non-selective queries
  • Build aggregates and relationship queries
  • Validate queries before using them in Apex or CLI workflows

Documentation

Related Skills

  • platform-data-manage - For data creation/import/export workflows
  • platform-apex-generate - For inline SOQL inside Apex code
  • platform-apex-test-run - For validating query behavior in tests

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统计数据

安装量4.5K
评分4.4 / 5.0
版本
更新日期2026年8月23日
对比案例1 组

用户评分

4.4(120)
5
37%
4
43%
3
13%
2
5%
1
2%

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创建2026年7月26日
最后更新2026年8月23日
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