LaunchDarklyv1.0.3

A product engineering team uses this skill to create feature flags and environments, then progressively roll out a new dashboard feature to 1% of users, monitor metrics, and expand exposure. It uses get_feature_flags and patch_feature_flag to toggle targeting rules without redeploying code.

An IT compliance team inventories LaunchDarkly teams, members, and access tokens to produce an audit trail for SOC 2 reviews. The skill lists tokens, pulls member-to-team mappings, and resets stale tokens to enforce least-privilege access.

A growth team runs A/B tests on pricing banners and checkout flows by creating segments and feature flags, then searching context instances to segment users by region and plan. Patch actions adjust variation weights mid-experiment based on conversion data.

A platform team at a fintech firm provisions a new project with test, staging, and production environments for each microservice. It automates project and environment creation, tags resources for cost tracking, and seeds baseline feature flags for canary releases.

A mobile gaming studio manages live-ops events, seasonal content, and emergency kill switches for a mobile title using feature flags and context-based targeting. The team searches contexts by device and player tier to deliver targeted configurations without app store releases.

A platform that centralizes feature toggles, targeting rules, and progressive delivery across environments and services. It monetizes through seat-based subscriptions and usage tiers tied to monthly context or flag evaluations.

A product that lets growth and product teams launch controlled experiments, measure uplift, and auto-promote winning variants. It packages experimentation workflows with statistical analysis and audience segmentation.

A service that integrates feature flagging with CI/CD pipelines to automate canary deployments, rollbacks, and scheduled releases. It targets platform engineering teams seeking safer, faster release cadences.