LaunchDarkly Agent Skills

June 15, 2026 · View on GitHub

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 configs
`agentcontrol/configs-targeting`	Configure targeting rules for config rollouts
`agentcontrol/snippets`	Create and manage reusable prompt snippets across configs
`agentcontrol/agent-graphs`	Create and manage multi-agent graphs with routing and handoffs

Experiments

Skill	Description
`experiments/launchdarkly-experiment-setup`	Set up experiments with metrics, treatments, and data collection

Metrics

Skill	Description
`metrics/launchdarkly-metric-choose`	Select the right metric type for an experiment
`metrics/launchdarkly-metric-create`	Create metrics and instrument tracking events
`metrics/launchdarkly-metric-instrument`	Add tracking calls to code for existing metrics

Install as a Claude Code Plugin

This repo is a Claude Code plugin. Installing it gives you all the skills above plus the LaunchDarkly MCP server.

Add this repo as a plugin marketplace in Claude Code:
```
/plugin marketplace add launchdarkly/ai-tooling
```

Install the plugin:

/plugin install launchdarkly@launchdarkly-ai-tooling

Authenticate the LaunchDarkly MCP server when prompted with your API access token.

Once installed, skills are available as /launchdarkly:<skill-name> across all your projects, and the MCP server can read and modify your flags directly.

Onboarding

Skill	Description
`onboarding`	End-to-end LaunchDarkly setup: kickoff roadmap, MCP, SDK install, first flag
`onboarding/mcp-configure`	Configure the LaunchDarkly hosted MCP server (OAuth, no API keys needed)
`onboarding/sdk-install`	Install and initialize the correct SDK via detect, plan, and apply sub-steps
`onboarding/first-flag`	Create a boolean flag, evaluate it, toggle on/off for end-to-end proof

Install as a Cursor Plugin

This repo is a Cursor plugin. Installing it gives you all the skills above plus the LaunchDarkly MCP server, so the agent can read and modify your flags directly.

Open Cursor and go to Settings > Plugins.
Search for LaunchDarkly in the marketplace, or install from the repo URL:
```
https://github.com/launchdarkly/ai-tooling
```

Once installed, the skills and MCP server are available across all your projects.

Quick Start (Local)

# Clone the repo
git clone https://github.com/launchdarkly/ai-tooling.git
cd ai-tooling

# If your agent supports skills.sh installs:
npx skills add launchdarkly/ai-tooling

# Or manually copy a skill into your agent's skills path:
cp -r skills/feature-flags/launchdarkly-flag-cleanup <your-agent-skills-dir>/

Then ask your agent something like:

Which feature flags are stale and should be cleaned up?

Create a feature flag for the new checkout flow

Roll out dark-mode to 25% of users in production

Remove the `new-checkout-flow` feature flag from this codebase

Install via skills.sh CLI

npx skills add <owner/repo>

Contributing

See CONTRIBUTING.md for how to add new skills and the conventions we follow.

License

Apache-2.0