Repo No. 65LaunchDarkly · Updated 7 November 2026 · In print

Skills Docs · No. 65

LaunchDarkly

launchdarkly / ai-tooling

LaunchDarkly’s official AI tooling

Start reading — 3 min

56 skills69,614 words

Inside this issue

1 — Install

$ npx skills add launchdarkly/ai-tooling

» /plugin marketplace add launchdarkly/ai-tooling

Other29 stars69,614 wordsUpdated 7 November 2026

2 — Skills

56 skills · 5 hours 25 minutes

Agent GraphsCreate and manage agent graphs — directed graphs of configs connected by edges with handoff logic.3 min
Aiconfig Agent GraphsDEPRECATED redirect — this skill was renamed to agent-graphs.1 min
Aiconfig AI MetricsDEPRECATED redirect — this skill was renamed to built-in-metrics.1 min
Aiconfig CreateDEPRECATED redirect — this skill was renamed to configs-create.1 min
Aiconfig Custom MetricsDEPRECATED redirect — this skill was renamed to custom-metrics.1 min

Skills Docs · Repo No. 65Whole repo as markdown

Provenance

Front matter

From the README

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-onboarding`	Step-by-step setup: pick capabilities, connect the GitHub App, map repos, choose inference, review release setup
`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)
`release-autopilot/launchdarkly-automations-cleanup-settings`	Read or change a project’s auto-cleanup schedule, repositories, and limits, or explain why cleanup did not open a PR (confirm before every write)
`release-autopilot/launchdarkly-automations-archival-settings`	Read or change a project’s auto-archival grace period, approvals, and limits, or turn it off; a person turns it on (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
`experiments/launchdarkly-experiment-hypothesis-builder`	Grade or coach a testable hypothesis against the Change / Measurement / Rationale rubric, then hand it off to experiment setup (draft)

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` (opens in a new tab).

Install as a Claude Code Plugin

This repo is a Claude Code plugin (opens in a new tab). 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 (opens in a new tab).

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 (opens in a new tab). 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

Colophon

How this issue was made

Source

github.com/launchdarkly/ai-tooling, branch main, last pushed 7 November 2026.

Licence

Other — the text of every skill is reproduced unmodified, frontmatter included, under the upstream licence.

Discovery

56 skills found by walking the repository tree for SKILL.md, not by matching a directory convention. 10 distinct layouts observed: skills/agentcontrol/*/SKILL.md, skills/aws-devops-agent/*/SKILL.md, skills/experiments/*/SKILL.md, skills/feature-flags/*/SKILL.md, skills/metrics/*/SKILL.md, skills/observability/*/SKILL.md, skills/onboarding/*/SKILL.md, skills/onboarding/sdk-install/*/SKILL.md, skills/*/SKILL.md, skills/release-autopilot/*/SKILL.md.

Issue colours

Resolved from a deterministic hash of the owner name. Two accent tones are generated per issue and each is proven against its own ground before it ships: a single accent that passes AA on both light and dark paper is arithmetically impossible.

Heading repairs

1 repair applied to the front matter so the document has one h1 and no skipped levels:

Shifted “16 headings” from h1 to h2 so the skill title is the only h1.

Spec compliance

Every skill satisfies the Agent Skills specification’s frontmatter rules.

Images

Images inside a skill come from the upstream repository. Where the author gave no alternative text we mark the image decorative rather than inventing a description — a plausible caption we made up is worse than none for the reader who depends on it.

Marketplace

A plugin manifest is published at .claude-plugin/marketplace.json by LaunchDarkly, declaring 1 plugin. It is read for editorial metadata only — never as the skill index, which is always the repository tree.

Signal

Install counts come from skills.sh. They measure downloads, not quality, and an unranked repository is not an unread one.

Agent surfaces

The whole issue is available as one markdown document at /launchdarkly/ai-tooling.md, and each skill at its own .md URL.

Publication

Set by Skills Docs from the source repository. Body text is Literata at the reader’s chosen size and measure; code is Geist Mono. Nothing on this page was written by us except this paragraph.

Contents