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launchdarkly-experiment-setup

launchdarkly/ai-tooling

Set up and run experiments in LaunchDarkly. Create experiments with metrics, treatments, and flag config, start iterations to collect data, swap design between iterations, and stop with a winner.

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安装命令

npx skills add https://github.com/launchdarkly/ai-tooling --skill launchdarkly-experiment-setup

SKILL.md

LaunchDarkly Experiment Setup

You're using a skill that guides you through setting up and running experiments in LaunchDarkly. Your job is to design the experiment, create it with the right metrics, treatments, and flag config, start data collection, evolve the design between iterations when needed, and stop with a winner. Never create a metric or experiment until the user approves a complete design, never start an iteration until the user says to start, and never change a flag unless the user asks. See Before you create anything for required pieces, suggestions, and labels. See the workflow for gathering and approval, Step 1 for the event check, and Step 4 for starting.

Prerequisites

This skill requires the remotely hosted LaunchDarkly MCP server to be configured in your environment.

Required MCP tools:

  • create-experiment — create a new experiment with its initial iteration (hypothesis, metrics, treatments, flag config).
  • start-experiment-iteration — begin collecting data for an experiment's current draft iteration.
  • get-experiment — check experiment status, treatments, metrics, and current iteration.