launchdarkly/ai-tooling

LaunchDarkly Agent Skills

LaunchDarkly's public collection of agent skills and playbooks. These skills encode repeatable workflows for working with LaunchDarkly, so coding agents can execute common tasks safely and consistently.

What Is This Repo?

Agent Skills are modular, text-based playbooks that teach an agent how to perform a workflow. This repo is designed to be a public, open-source home for LaunchDarkly skills and to align with the emerging Agent Skills Open Standard.

Available Skills

Feature Flags

| Skill | Description | |-------|-------------| | feature-flags/launchdarkly-flag-command | Resolve /flag style requests into fast flag lookup, detail, and disambiguation | | feature-flags/launchdarkly-flag-discovery | Audit flags, find stale/launched flags, and assess removal readiness | | feature-flags/launchdarkly-flag-create | Create new feature flags in a way that fits existing codebase patterns | | feature-flags/launchdarkly-flag-targeting | Control targeting, rollouts, rules, and cross-environment config | | feature-flags/launchdarkly-flag-cleanup | Safely remove flags from code using LaunchDarkly as the source of truth | | feature-flags/launchdarkly-guarded-rollout | Configure guarded rollouts with progressive traffic, metric monitoring, and rollback |

AgentControl

| Skill | Description | |-------|-------------| | agentcontrol/configs-create | Create configs with variations for agent or completion mode | | agentcontrol/migrate | Migrate an app with hardcoded LLM prompts to AgentControl in five stages (extract, wrap, tools, tracking, evals) | | agentcontrol/configs-update | Update and delete configs, manage lifecycle | | agentcontrol/configs-variations | Manage config variations for A/B testing | | agentcontrol/tools | Create and attach tools for function calling | | agentcontrol/projects | Create and manage projects to organize configs | | agentcontrol/online-evals | Attach LLM-as-a-judge evaluators to con