skill-arch-feature-flags

Implement feature flags with user targeting, percentage rollout, and kill switches.

4|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/ryan-nguyen-01/agent-platform --skill skill-arch-feature-flags
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-arch-feature-flags
Source: https://github.com/ryan-nguyen-01/agent-platform/tree/main/.claude/skills/skill-arch-feature-flags
Command: npx skills add https://github.com/ryan-nguyen-01/agent-platform --skill skill-arch-feature-flags

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Feature flags let teams decouple deployment from release, enabling safe, incremental rollout, rapid kill switches, and controlled experiments across applications.

Core Features & Use Cases

  • Targeted rollouts: gradually expose features to subsets of users or regions.
  • A/B testing & variants: run experiments with defined variants and metrics.
  • Kill switches & safety nets: instant disablement for high-risk features.
  • SDKs & integration: consistent evaluation across backend, frontend, and mobile.

Quick Start

Define a flag, implement evaluation in your app, and validate a canary rollout.

Frequently Asked Questions about skill-arch-feature-flags

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

FAQPage Schema
How do I use feature flags for safe incremental rollouts?

Feature flags enable safe incremental rollouts by decoupling deployment from release, allowing you to gradually expose features to targeted user subsets and instantly disable them via kill switches if issues arise.

What are feature flags and when do I need them?

Feature flags are toggles that control feature visibility, needed when you want to separate deployment from release, run controlled A/B testing experiments, or maintain kill switches for high-risk features.

How do I define a flag model for user targeting and percentage rollouts?

Define a flag model by specifying its type, default value, rollout percentage, targeting rules, and variants to ensure consistent evaluation logic across backend, frontend, and mobile platforms.

Can I use SDKs for consistent feature flag evaluation across mobile and web?

Yes, SDK integration ensures consistent feature flag evaluation across backend, frontend, and mobile applications by applying the same flag model, targeting rules, and A/B variants everywhere.

What's the best way to set up a kill switch for high-risk features?

The best way to set up a kill switch is to implement a feature flag with a default disabled state, allowing instant disablement of high-risk features without redeploying your application code.

How do I run A/B testing variants using feature flags?

Run A/B testing by configuring feature flag variants within your flag model, defining specific targeting rules and rollout percentages to distribute and measure distinct user experiences.