plugins/salesforce-master/skills/lightning-2025-features/SKILL.md
Salesforce Lightning Web Components and platform features (Winter '26 / 2025). PROACTIVELY activate for: (1) authoring Lightning Web Components (LWC), (2) Wire service and @wire decorator, (3) Apex from LWC (imperative, @wire), (4) Lightning Data Service and recordEditForm/recordViewForm, (5) Lightning Design System (SLDS) styling, (6) Salesforce Mobile App development, (7) LWC events (composed, bubbles, custom events), (8) LWC testing with Jest and sfdx-lwc-jest, (9) Winter '26 platform features (new APIs, deprecations), (10) LWC + Experience Cloud customization. Provides: LWC component templates, @wire patterns, SLDS class reference, Jest test recipes, and Winter '26 changelog.
npx skillsauth add JosiahSiegel/claude-plugin-marketplace lightning-2025-featuresInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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MANDATORY: Always Use Backslashes on Windows for File Paths
When using Edit or Write tools on Windows, you MUST use backslashes (\) in file paths, NOT forward slashes (/).
Examples:
D:/repos/project/file.tsxD:\repos\project\file.tsxThis applies to:
NEVER create new documentation files unless explicitly requested by the user.
New module replaces deprecated lightning/uiGraphQLApi:
// ❌ Old (deprecated)
import { gql, graphql } from 'lightning/uiGraphQLApi';
// ✅ New (Winter '26)
import { gql, graphql } from 'lightning/graphql';
export default class MyComponent extends LightningElement {
@wire(graphql, {
query: gql`
query getAccount($id: ID!) {
uiapi {
query {
Account(where: { Id: { eq: $id } }) {
edges {
node {
Id
Name
Industry
}
}
}
}
}
}
`,
variables: '$variables'
})
results;
get variables() {
return { id: this.recordId };
}
}
Run LWC components locally without deploying:
# Start local dev server
sf lightning dev component
# Opens browser at http://localhost:3333
# Live reload on file changes
# No deployment needed
# Faster development cycle
# Specify component
sf lightning dev component -n myComponent
# Specify target org
sf lightning dev component -o [email protected]
Benefits:
Access platform modules in single component preview:
// Works in local preview now
import { getRecord } from 'lightning/uiRecordApi';
import { ShowToastEvent } from 'lightning/platformShowToastEvent';
import { NavigationMixin } from 'lightning/navigation';
// Previously required full org deployment
// Now works in sf lightning dev component
New LWC targets for AI agents:
<!-- meta.xml -->
<targets>
<!-- Input component for Agentforce -->
<target>lightning__AgentforceInput</target>
<!-- Output component for Agentforce -->
<target>lightning__AgentforceOutput</target>
</targets>
// agentInputComponent.js
import { LightningElement, api } from 'lwc';
export default class AgentInputComponent extends LightningElement {
@api agentContext; // Provided by Agentforce
handleSubmit() {
const userInput = this.template.querySelector('input').value;
// Send to Agentforce
this.dispatchEvent(new CustomEvent('agentinput', {
detail: { input: userInput }
}));
}
}
Re-imagined embedding with web components:
<script src="https://MyDomain.lightning.force.com/lightning/lightning.out.js"></script>
<script>
$Lightning.use("c:myApp", function() {
$Lightning.createComponent("c:myComponent",
{ recordId: "001..." },
"lightningContainer",
function(cmp) { /* callback */ }
);
});
</script>
<div id="lightningContainer"></div>
<!-- Standards-based web components -->
<script src="https://MyDomain.lightning.force.com/c/myComponent.js" type="module"></script>
<!-- Use as web component -->
<c-my-component record-id="001..." ></c-my-component>
<!-- No Aura dependency -->
<!-- Powered by LWR (Lightning Web Runtime) -->
<!-- Lighter and faster -->
Benefits:
Salesforce Lightning Design System 2.0:
/* Dark mode support in custom themes */
:host([data-theme="dark"]) {
--lwc-colorBackground: #16325c;
--lwc-colorTextPrimary: #ffffff;
--lwc-brandPrimary: #1589ee;
}
/* Light mode */
:host([data-theme="light"]) {
--lwc-colorBackground: #ffffff;
--lwc-colorTextPrimary: #181818;
--lwc-brandPrimary: #0176d3;
}
// Toggle dark mode
export default class ThemeToggle extends LightningElement {
handleThemeChange(event) {
const theme = event.target.checked ? 'dark' : 'light';
this.template.host.setAttribute('data-theme', theme);
}
}
# Install SLDS linter
npm install -D @salesforce-ux/slds-linter
# Lint with auto-fix
npx slds-linter --fix src/
# CI/CD integration
npx slds-linter src/ --format json > slds-report.json
Test Discovery and Test Runner APIs unify Apex and Flow testing:
// Discover all tests
Test.DiscoveryResult discovery = Test.discoverTests();
// Get Apex tests
List<Test.ApexTestInfo> apexTests = discovery.getApexTests();
// Get Flow tests
List<Test.FlowTestInfo> flowTests = discovery.getFlowTests();
// Run all tests from single location
Test.RunResult result = Test.runTests(discovery);
// Check results
System.debug('Apex passed: ' + result.getApexTestsPassed());
System.debug('Flow passed: ' + result.getFlowTestsPassed());
Benefits:
New security protections with API distortions:
// Additional secure protections automatically applied
export default class SecureComponent extends LightningElement {
connectedCallback() {
// Web APIs now include security distortions
// ESLint rules validate distortion compliance
// Example: Secure window access
const secureWindow = window; // LWS-secured reference
}
}
// .eslintrc.json
{
"extends": ["@salesforce/eslint-config-lwc/recommended"],
"rules": {
"@lwc/lwc/no-inner-html": "error",
"@lwc/lwc/no-document-query": "error",
"@salesforce/lwc-security/no-unsafe-references": "error"
}
}
// Before (Winter '25)
import { gql, graphql } from 'lightning/uiGraphQLApi';
@wire(graphql, { query: gql`...` })
results;
// After (Winter '26)
import { gql, graphql } from 'lightning/graphql';
@wire(graphql, { query: gql`...` })
results;
# Old workflow (deploy every change)
sf project deploy start
# Wait 30-60 seconds
# Test in org
# Repeat...
# New workflow (instant feedback)
sf lightning dev component
# Changes reflect immediately
# No deployment
# Test in local browser
# Deploy only when ready
<!-- Old (Lightning Out 1.0) -->
<script src="/lightning/lightning.out.js"></script>
<script>
$Lightning.use("c:app", function() {
$Lightning.createComponent("c:comp", {}, "div", callback);
});
</script>
<!-- New (Lightning Out 2.0) -->
<script src="/c/comp.js" type="module"></script>
<c-comp></c-comp>
development
This skill should be used when the user asks to train, debug, scale, or improve ML models. PROACTIVELY activate for: (1) PyTorch, TensorFlow/Keras, JAX, Flax, Hugging Face Trainer/Accelerate training loops, (2) distributed training, DDP/FSDP/DeepSpeed, TPU/GPU setup, (3) mixed precision AMP/bf16, gradient accumulation, checkpointing, seeding, (4) overfitting, imbalance, loss functions, regularization, LR schedules, warmup, (5) memory optimization, gradient checkpointing, offloading, quantization-aware training. Provides: reproducible training best practices across deep learning and classical ML.
development
This skill should be used when the user asks to productionize, track, version, govern, monitor, or automate ML systems. PROACTIVELY activate for: (1) MLflow, Weights & Biases, Neptune, Comet, ClearML experiment tracking, (2) model registry, model versioning, artifact lineage, reproducibility, (3) Kubeflow, SageMaker Pipelines, Vertex AI Pipelines, Azure ML pipelines, Databricks workflows, (4) CI/CD, continuous training/evaluation, A/B tests, canary/shadow deployments, (5) drift detection, model monitoring, data validation, responsible AI governance. Provides: end-to-end MLOps architecture and operational safeguards.
development
This skill should be used when the user asks to optimize, export, serve, compress, or accelerate ML inference. PROACTIVELY activate for: (1) latency, throughput, p95/p99, batching, concurrency, KV cache, memory, or cost issues, (2) quantization INT8/INT4, GPTQ, AWQ, bitsandbytes, pruning, sparsity, distillation, (3) ONNX export, ONNX Runtime, TensorRT, TorchScript, torch.compile, XLA, OpenVINO, Core ML, TFLite, (4) Triton, TorchServe, TF Serving, BentoML, Seldon, KServe configuration, (5) edge deployment, CPU/GPU/TPU/Inferentia serving. Provides: hardware-aware inference optimization and safe benchmarking.
testing
This skill should be used when the user asks to tune hyperparameters, run sweeps, optimize search spaces, or use AutoML. PROACTIVELY activate for: (1) Optuna, Ray Tune, FLAML, AutoGluon, Hyperopt, Nevergrad, KerasTuner, W&B sweeps, (2) grid search, random search, Bayesian optimization, TPE, Gaussian processes, evolutionary search, (3) ASHA, Hyperband, successive halving, multi-fidelity optimization, population-based training, (4) learning-rate finder, batch-size search, early stopping, pruning, (5) reproducible sweep design and experiment analysis. Provides: budget-aware hyperparameter search strategy.