Writes and debugs Apex code, builds Lightning Web Components, optimizes SOQL queries, implements triggers, batch jobs, platform events, and integrations on the Salesforce platform. Use when developing Salesforce applications, customizing CRM workflows, managing governor limits, bulk processing, or setting up Salesforce DX and CI/CD pipelines.
npx skills add https://github.com/Jeffallan/claude-skills --skill salesforce-developer
Load detailed guidance based on context:
| Topic | Reference | Load When |
|-------|-----------|-----------|
| Apex Development | references/apex-development.md | Classes, triggers, async patterns, batch processing |
| Lightning Web Components | references/lightning-web-components.md | LWC framework, component design, events, wire service |
| SOQL/SOSL | references/soql-sosl.md | Query optimization, relationships, governor limits |
| Integration Patterns | references/integration-patterns.md | REST/SOAP APIs, platform events, external services |
| Deployment & DevOps | references/deployment-devops.md | Salesforce DX, CI/CD, scratch orgs, metadata API |
Database.update(scope, false) for partial success// CORRECT: collect IDs, query once outside the loop
trigger AccountTrigger on Account (before insert, before update) {
AccountTriggerHandler.handleBeforeInsert(Trigger.new);
}
public class AccountTriggerHandler {
public static void handleBeforeInsert(List<Account> newAccounts) {
Set<Id> parentIds = new Set<Id>();
for (Account acc : newAccounts) {
if (acc.ParentId != null) parentIds.add(acc.ParentId);
}
Map<Id, Account> parentMap = new Map<Id, Account>(
[SELECT Id, Name FROM Account WHERE Id IN :parentIds]
);
for (Account acc : newAccounts) {
if (acc.ParentId != null && parentMap.containsKey(acc.ParentId)) {
acc.Description = 'Child of: ' + parentMap.get(acc.ParentId).Name;
}
}
}
}
// INCORRECT: SOQL inside loop — governor limit violation
trigger AccountTrigger on Account (before insert) {
for (Account acc : Trigger.new) {
Account parent = [SELECT Id, Name FROM Account WHERE Id = :acc.ParentId]; // BAD
acc.Description = 'Child of: ' + parent.Name;
}
}
public class ContactBatchUpdate implements Database.Batchable<SObject> {
public Database.QueryLocator start(Database.BatchableContext bc) {
return Database.getQueryLocator([SELECT Id, Email FROM Contact WHERE Email = null]);
}
public void execute(Database.BatchableContext bc, List<Contact> scope) {
for (Contact c : scope) {
c.Email = '[email protected]';
}
Database.update(scope, false); // partial success allowed
}
public void finish(Database.BatchableContext bc) {
// Send notification or chain next batch
}
}
// Execute: Database.executeBatch(new ContactBatchUpdate(), 200);
@IsTest
private class AccountTriggerHandlerTest {
@TestSetup
static void makeData() {
Account parent = new Account(Name = 'Parent Co');
insert parent;
Account child = new Account(Name = 'Child Co', ParentId = parent.Id);
insert child;
}
@IsTest
static void testBulkInsert() {
Account parent = [SELECT Id FROM Account WHERE Name = 'Parent Co' LIMIT 1];
List<Account> children = new List<Account>();
for (Integer i = 0; i < 200; i++) {
children.add(new Account(Name = 'Child ' + i, ParentId = parent.Id));
}
Test.startTest();
insert children;
Test.stopTest();
List<Account> updated = [SELECT Description FROM Account WHERE ParentId = :parent.Id];
System.assert(!updated.isEmpty(), 'Children should have descriptions set');
System.assert(updated[0].Description.startsWith('Child of:'), 'Description format mismatch');
}
}
// Selective query — use indexed fields in WHERE clause
List<Opportunity> opps = [
SELECT Id, Name, Amount, StageName
FROM Opportunity
WHERE AccountId IN :accountIds // indexed field
AND CloseDate >= :Date.today() // indexed field
ORDER BY CloseDate ASC
LIMIT 200
];
// Relationship query to avoid extra round-trips
List<Account> accounts = [
SELECT Id, Name,
(SELECT Id, LastName, Email FROM Contacts WHERE Email != null)
FROM Account
WHERE Id IN :accountIds
];
<!-- counterComponent.html -->
<template>
<lightning-card title="Counter">
<div class="slds-p-around_medium">
<p>Count: {count}</p>
<lightning-button label="Increment" onclick={handleIncrement}></lightning-button>
</div>
</lightning-card>
</template>
// counterComponent.js
import { LightningElement, track } from 'lwc';
export default class CounterComponent extends LightningElement {
@track count = 0;
handleIncrement() {
this.count += 1;
}
}
<!-- counterComponent.js-meta.xml -->
<?xml version="1.0" encoding="UTF-8"?>
<LightningComponentBundle xmlns="http://soap.sforce.com/2006/04/metadata">
<apiVersion>59.0</apiVersion>
<isExposed>true</isExposed>
<targets>
<target>lightning__AppPage</target>
<target>lightning__RecordPage</target>
</targets>
</LightningComponentBundle>
Assess Kubernetes workloads and cluster configuration for AKS Automatic compatibility. Identifies incompatibilities, generates fixes, and guides migration from AKS Standard to AKS Automatic. WHEN: migrate to AKS Automatic, check AKS Automatic readiness, validate manifests for Automatic, assess cluster for Automatic compatibility, fix deployment for Automatic compatibility, identify AKS Automatic migration blockers, is my cluster ready for AKS Automatic.
Discovers available Azure OpenAI model capacity across regions and projects. Analyzes quota limits, compares availability, and recommends optimal deployment locations based on capacity requirements. USE FOR: find capacity, check quota, where can I deploy, capacity discovery, best region for capacity, multi-project capacity search, quota analysis, model availability, region comparison, check TPM availability. DO NOT USE FOR: actual deployment (hand off to preset or customize after discovery), quota increase requests (direct user to Azure Portal), listing existing deployments.
Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).
Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.
Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Take jeffallan/salesforce-developer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.