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/should-flag-change	Advisory, read-only call on whether a code change (diff/PR) should ship behind a feature flag
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-flag-drift	Detect and reconcile drift between an in-code SDK fallback default and the LaunchDarkly default rule
feature-flags/launchdarkly-guarded-rollout	Configure guarded rollouts with progressive traffic, metric monitoring, and rollback
feature-flags/flag-release	Record a flag's automated release for a PR, honoring release intent and per-environment release policies
feature-flags/flag-and-release-change	End-to-end PR orchestrator: decide → create + wire the flag → record its release (composes the skills above)
feature-flags/launchdarkly-flag-qualitative-feedback-setup	Add a qualitative user feedback widget tied to a flag, adapting to the project's framework and design system

Release Autopilot

Skill	Description
release-autopilot/launchdarkly-release-autopilot-settings	Turn on GitHub App auto-flagging / auto-releasing, map owner/name repos, or diagnose why a PR was not classified (confirm before every write)

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-guide	Guided experiment setup: find what to test, propose a hypothesis and metric, wire the flag, then draft and create the experiment
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

AWS DevOps Agent

Skill	Description
aws-devops-agent/experiment-orchestration	Take a product goal through a LaunchDarkly experiment and a rollout (guarded, if the plan has it) in AWS DevOps Agent. ldcli aws-devops-agent setup installs it with the experiment-orchestrator custom agent. See skills/aws-devops-agent.

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. Add this repo as a plugin marketplace in Claude Code:

   /plugin marketplace add launchdarkly/ai-tooling
   

2. Install the plugin:

   /plugin install launchdarkly@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: quiet scripted flow, SDK install, first flag with a live reveal, MCP offered afterwards
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

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