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feature-flags

Manage feature flags with conditional logic, user segmentation, and rollout percentages.

3|Updated Dec 30, 2025
Search Tags:#A/B testing#experiment#rollout#conditional rendering#toggle#feature flag
One-click install
npx skills add https://github.com/guicheffer/devorch-cli --skill feature-flags-guicheffer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feature-flags
Source: https://github.com/guicheffer/devorch-cli/tree/main/templates/skills/feature-flags/feature-flags
Command: npx skills add https://github.com/guicheffer/devorch-cli --skill feature-flags-guicheffer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables controlled feature releases, A/B testing, and quick toggling of features without requiring code deployments, reducing risk and allowing for data-driven product decisions.

Core Features & Use Cases

  • Conditional Rendering: Show or hide UI elements based on feature flag status.
  • A/B Testing: Serve different feature variants to user segments for experimentation.
  • Gradual Rollouts: Release features to a percentage of users before a full launch.
  • Use Case: Roll out a new checkout flow to 10% of users, monitor conversion rates, and gradually increase the rollout percentage if successful.

Quick Start

Use the feature-flags skill to check if the 'new_checkout_flow' feature is enabled for the current user.

Frequently Asked Questions about feature-flags

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage feature flags for gradual rollouts without deploying new code?▼

Feature flags manage gradual rollouts by enabling conditional logic based on user segmentation and rollout percentages, allowing you to toggle features dynamically without code deployments. This reduces release risk and supports data-driven product decisions.

How does A/B testing work with feature flags?▼

A/B testing with feature flags works by serving different feature variants to specific user segments for experimentation. It integrates with analytics to measure impact, helping you compare conversion rates and decide whether to expand the rollout percentage.

How do I implement conditional rendering based on a feature toggle?▼

Conditional rendering uses a `useFeatureIsEnabled` hook to check associated constants and show or hide UI elements dynamically. This allows your application to display different interfaces based on the current user's feature flag status.

Do I need robust testing strategies when using feature flags?▼

Yes, robust testing strategies are required for both enabled and disabled states when using feature flags. Testing both paths ensures your conditional rendering and rollout percentages function correctly without breaking the user experience during gradual releases.

Can I release a new checkout flow to a limited percentage of users?▼

Yes, you can release a new checkout flow to a limited percentage of users using gradual rollouts. You can start with 10%, monitor conversion rates through analytics integration, and gradually increase the rollout percentage if successful.

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