LaunchDarkly Agent Skills

LaunchDarkly's public collection of AI 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-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

AI Configs

Skill	Description
ai-configs/aiconfig-create	Create AI Configs with variations for agent or completion mode
ai-configs/aiconfig-migrate	Migrate an app with hardcoded LLM prompts to AI Configs in five stages (extract, wrap, tools, tracking, evals)
ai-configs/aiconfig-update	Update and delete AI Configs, manage lifecycle
ai-configs/aiconfig-variations	Manage AI Config variations for A/B testing
ai-configs/aiconfig-tools	Create and attach tools for function calling
ai-configs/aiconfig-projects	Create and manage projects to organize AI Configs
ai-configs/aiconfig-online-evals	Attach LLM-as-a-judge evaluators to AI Configs
ai-configs/aiconfig-targeting	Configure targeting rules for AI Config rollouts
ai-configs/aiconfig-snippets	Create and manage reusable prompt snippets across AI Configs
ai-configs/aiconfig-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.

1. Open Claude Code and run /plugin install.
2. Search for LaunchDarkly, or install directly from the repo URL:

   https://github.com/launchdarkly/ai-tooling
   

3. 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.

1. Open Cursor and go to Settings > Plugins.
2. 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