feature-flags
feature-flags is an engineering AI skill with a core value of Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions. It
helps developers solve real-world problems in the engineering domain, boosting
efficiency, automating repetitive tasks, and optimizing workflows.
Implement feature flags for progressive feature rollout using LaunchDarkly, Unleash, or custom solutions.
Quick Facts
mkdir -p ./skills/feature-flags && curl -sfL https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/skills/feature-flags/SKILL.md -o ./skills/feature-flags/SKILL.md Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Feature Flags
Control feature releases and enable progressive rollout with feature flag systems.
Prerequisites
- Application code access
- Feature flag service or self-hosted solution
- Basic understanding of deployment patterns
Feature Flag Types
| Type | Purpose | Example |
|------|---------|---------|
| Release | Control feature visibility | New checkout flow |
| Experiment | A/B testing | Button color test |
| Ops | Runtime configuration | Rate limiting |
| Permission | User access control | Premium features |
| Kill Switch | Emergency disable | Third-party integration |
LaunchDarkly
SDK Setup (Node.js)
const LaunchDarkly = require('launchdarkly-node-server-sdk');
const client = LaunchDarkly.init(process.env.LAUNCHDARKLY_SDK_KEY);
await client.waitForInitialization();
// Evaluate flag
const user = {
key: 'user-123',
email: 'user@example.com',
custom: {
plan: 'premium',
company: 'acme'
}
};
const showNewFeature = await client.variation('new-checkout', user, false);
if (showNewFeature) {
// New feature code
} else {
// Existing code
}React SDK
import { withLDProvider, useFlags, useLDClient } from 'launchdarkly-react-client-sdk';
// Provider setup
export default withLDProvider({
clientSideID: 'your-client-side-id',
user: {
key: 'user-123',
email: 'user@example.com'
}
})(App);
// Using flags in component
function FeatureComponent() {
const { newCheckout, experimentVariant } = useFlags();
const ldClient = useLDClient();
// Track events
const handleClick = () => {
ldClient.track('checkout-started');
};
if (newCheckout) {
return <NewCheckout onClick={handleClick} />;
}
return <OldCheckout onClick={handleClick} />;
}Targeting Rules
# LaunchDarkly targeting configuration
flag: new-checkout
targeting:
# Individual users
targets:
- variation: true
values: ['user-123', 'user-456']
# Rules
rules:
# Beta users
- variation: true
clauses:
- attribute: email
op: endsWith
values: ['@company.com']
# Premium plan
- variation: true
clauses:
- attribute: plan
op: in
values: ['premium', 'enterprise']
# Percentage rollout
- variation: true
rollout:
variations:
- variation: true
weight: 20000 # 20%
- variation: false
weight: 80000 # 80%
# Default
fallthrough:
variation: falseUnleash
Server Setup
# docker-compose.yml
version: '3.8'
services:
unleash:
image: unleashorg/unleash-server:latest
ports:
- "4242:4242"
environment:
- DATABASE_URL=postgres://postgres:password@db/unleash
- DATABASE_SSL=false
depends_on:
- db
db:
image: postgres:15
environment:
- POSTGRES_PASSWORD=password
- POSTGRES_DB=unleash
volumes:
- postgres-data:/var/lib/postgresql/data
volumes:
postgres-data:SDK Setup (Node.js)
const { initialize } = require('unleash-client');
const unleash = initialize({
url: 'http://localhost:4242/api',
appName: 'my-app',
customHeaders: {
Authorization: 'your-api-token'
}
});
unleash.on('ready', () => {
// Check feature
const isEnabled = unleash.isEnabled('new-checkout');
// With context
const context = {
userId: 'user-123',
properties: {
plan: 'premium'
}
};
const isEnabledForUser = unleash.isEnabled('new-checkout', context);
// Get variant
const variant = unleash.getVariant('experiment-flag', context);
console.log(variant.name); // 'control' or 'treatment'
});Activation Strategies
# Standard strategies
strategies:
- name: default
# On/off for everyone
- name: userWithId
parameters:
userIds: 'user-1,user-2,user-3'
- name: gradualRolloutUserId
parameters:
percentage: 25
🎯 Best For
- Claude users
- AI users
💡 Use Cases
- Using feature-flags in daily workflow
- Automating repetitive engineering tasks
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply feature-flags to Your Work
Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.
- 4
Review and Refine
Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.
❓ Frequently Asked Questions
How do I install feature-flags?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/feature-flags/SKILL.md, ready to use.
Can I customize this skill for my team?
Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.
⚠️ Common Mistakes to Avoid
Not reading the full skill
Skills contain important context and edge cases beyond the quick start.