Feature Flags and Experimentation
OfficialShip features with confidence and precision.
Software Engineering#A/B testing#feature flags#experimentation#canary#rollout#targeting#LaunchDarkly
Authorqenex-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Managing feature exposure and experimentation across software platforms is error-prone and slow. This Skill provides a centralized approach to enable/disable features, run A/B tests, and orchestrate gradual rollouts with clear rules and telemetry.
Core Features & Use Cases
- Feature flag evaluation & rollout control: Gate new features behind flags with percent-based rollouts and audience targeting.
- Experimentation configuration & analytics integration: Define experiments with variants, weights, and metrics; track exposures and conversions.
- Use Case: A/B test a new checkout flow on web and mobile, gradually exposing it to users based on their segment and then measuring impact.
Quick Start
Enable the 'checkout_flow_beta' flag for internal testers and create an experiment with two variants: control and treatment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Feature Flags and Experimentation Download link: https://github.com/qenex-ai/devops-plugin/archive/main.zip#feature-flags-and-experimentation Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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