creating-experiments

Create LaunchDarkly A/B experiment flags with traffic allocation and GrowthBook linking.

Updated Aug 23, 2026

Search Tags:#A/B testing #experimentation #launchdarkly #growthbook #traffic allocation #holdout

Ready to run

npx skills add https://github.com/abhiroopb/synthetic-mind --skill creating-experiments

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: creating-experiments
Source: https://github.com/abhiroopb/synthetic-mind/tree/main/skills/creating-experiments
Command: npx skills add https://github.com/abhiroopb/synthetic-mind --skill creating-experiments

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and error-prone process of setting up A/B experiments, ensuring consistent configuration across experimentation platforms.

Core Features & Use Cases

Dual-Flag Pattern: Creates both traffic allocation and bucketing flags for robust experiment control.
Holdout Management: Integrates with existing holdout flags to exclude specific user segments.
GrowthBook Integration: Optionally links experiments to GrowthBook for seamless analytics.
Use Case: When launching a new feature, use this skill to automatically create the necessary LaunchDarkly flags and link them to GrowthBook, ensuring accurate traffic allocation and data collection from the start.

Quick Start

Use the creating-experiments skill to create an experiment called 'checkout-redesign' with a Q1 holdout.

Frequently Asked Questions about creating-experiments

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

FAQPage Schema

How do I automate A/B test creation with LaunchDarkly and GrowthBook?▼

Automate A/B test creation by deploying a dual-flag pattern that manages LaunchDarkly traffic allocation and bucketing flags, optionally linking the setup to GrowthBook for analytics. This ensures repeatable and error-free experiment deployments.

What is the dual-flag pattern for A/B testing traffic allocation?▼

The dual-flag pattern uses separate traffic allocation and bucketing flags to control A/B experiments. This mechanism provides robust experiment control by isolating user distribution from variant assignment within LaunchDarkly.

How do I exclude specific user segments from an A/B test using holdouts?▼

Exclude specific user segments by integrating existing holdout flags as prerequisites during A/B test creation. This ensures users already in holdout groups are automatically bypassed by the new LaunchDarkly experiment configuration.

Can I link LaunchDarkly flags to GrowthBook for experiment analytics?▼

Yes, you can link LaunchDarkly flags to GrowthBook. The automation optionally configures GrowthBook experiment linking during flag creation, ensuring accurate data collection and seamless analytics from the start.

Do I need existing holdout flags before creating an A/B experiment?▼

Existing holdout flags are optional prerequisites for A/B experiment creation. The automation can integrate with existing holdouts to exclude specific user segments, but the dual-flag pattern works independently for traffic allocation.

Why use automated experiment setup instead of manual LaunchDarkly configuration?▼

Automated experiment setup prevents configuration errors across experimentation platforms by standardizing the dual-flag pattern. It manages LaunchDarkly flag creation and GrowthBook linking simultaneously, ensuring accurate traffic allocation and data collection.