# LaunchDarkly

> Use this tool when you need to manage and control feature releases, target specific user segments, and run experiments to optimize your product. It solves problems related to rolling out new features, mitigating risk, and personalizing user experiences. With LaunchDarkly, you can input feature flags and user segments, and output controlled releases and experiment results.

Canonical page: https://skillsregistry.net/skills/launchdarkly  
JSON: https://api.skillsregistry.net/v1/skills/launchdarkly

## Description

Feature management platform for controlling releases. Manage feature flags, target user segments, and run experiments.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/launchdarkly)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "launchdarkly"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/launchdarkly` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/launchdarkly/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt