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Skill

/feature-flag-system

Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.

From plugin
useful-ai-prompts
309200 skills
Install
$ npx -y skills add aj-geddes/useful-ai-prompts --skill feature-flag-system --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/feature-flag-system

Context preview

The summary Claude sees to decide when to auto-load this skill.

Implement feature flags (toggles) for controlled feature rollouts, A/B testing, canary deployments, and kill switches. Use when deploying new features gradually, testing in production, or managing feature lifecycles.

SKILL.md

feature-flag-system.SKILL.md
name: feature-flag-system
description: >
  Implement feature flags (toggles) for controlled feature rollouts, A/B
  testing, canary deployments, and kill switches. Use when deploying new
  features gradually, testing in production, or managing feature lifecycles.

Feature Flag System

Table of Contents

  • [Overview](#overview)
  • [When to Use](#when-to-use)
  • [Quick Start](#quick-start)
  • [Reference Guides](#reference-guides)
  • [Best Practices](#best-practices)

Overview

Implement feature flags to decouple deployment from release, enable gradual rollouts, A/B testing, and provide emergency kill switches.

When to Use

  • Gradual feature rollouts
  • A/B testing and experiments
  • Canary deployments
  • Beta features for specific users
  • Emergency kill switches
  • Trunk-based development
  • Dark launching
  • Operational flags (maintenance mode)
  • User-specific features

Quick Start

Minimal working example:

interface FlagConfig {
  key: string;
  enabled: boolean;
  description: string;
  rules?: FlagRule[];
  variants?: FlagVariant[];
  createdAt: Date;
  updatedAt: Date;
}

interface FlagRule {
  type: "user" | "percentage" | "attribute" | "datetime";
  operator: "in" | "equals" | "contains" | "gt" | "lt" | "between";
  attribute?: string;
  values: any[];
}

interface FlagVariant {
  key: string;
  weight: number;
  value: any;
}

interface EvaluationContext {
  userId?: string;
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the `references/` directory:

| Guide | Contents | |---|---| | [Feature Flag Service (TypeScript)](references/feature-flag-service-typescript.md) | Feature Flag Service (TypeScript) | | [React Hook for Feature Flags](references/react-hook-for-feature-flags.md) | React Hook for Feature Flags | | [Feature Flag with Analytics](references/feature-flag-with-analytics.md) | Feature Flag with Analytics | | [LaunchDarkly-Style SDK](references/launchdarkly-style-sdk.md) | LaunchDarkly-Style SDK | | [Admin UI for Feature Flags](references/admin-ui-for-feature-flags.md) | Admin UI for Feature Flags |

Best Practices

✅ DO

  • Use descriptive flag names
  • Document flag purpose and lifecycle
  • Implement gradual rollouts
  • Track flag evaluations
  • Clean up old flags regularly
  • Use feature flags for experiments
  • Implement kill switches for critical features
  • Test both enabled and disabled states
  • Use consistent hashing for stable rollouts
  • Provide admin UI for non-technical users

❌ DON'T

  • Use flags for permanent configuration
  • Accumulate technical debt with old flags
  • Skip flag cleanup
  • Make flags too granular
  • Hard-code flag checks everywhere
  • Skip analytics and monitoring
Read more
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488 production-ready AI prompts, all following a standardized template with validated quality gates. Transform ChatGPT, Claude, and other AI assistants into expert consultants.

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