This is a systematic approach to A/B testing your AI configs through LaunchDarkly's MCP server. You clone a baseline variation and override just the model, prompt, or parameters you want to test, keeping everything else identical so you know what actually moved the needle on cost, latency, or quality. The skill enforces the one variable at a time principle and protects your baseline from accidental edits. It's opinionated about cloning over creating from scratch, which makes sense when you're running experiments. The workflow is clear: identify what to optimize, design the test, clone with selective overrides, verify the diff. Best for teams already using LaunchDarkly who want to treat prompt engineering like feature flagging.
npx -y skills add launchdarkly/agent-skills --skill configs-variations --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot