Launch Darkly Automation

Launch Darkly Automation

Automate LaunchDarkly tasks via Rube MCP (Composio): feature

Category: productivity Source: ComposioHQ/awesome-claude-skills

What Is This

The "Launch Darkly Automation" skill for the Happycapy Skills platform is a specialized integration that enables automated management of LaunchDarkly via the Rube MCP (Composio) automation framework. LaunchDarkly is a feature management platform that provides control over feature flags, environment configurations, user segments, and rollout rules in modern software development workflows. This skill allows users to programmatically interact with LaunchDarkly’s API to perform a variety of tasks such as creating, updating, and deleting feature flags, managing environments and segments, and configuring rollout strategies. It is designed to seamlessly fit into automated DevOps pipelines, CI/CD workflows, or other composable automation systems supported by Happycapy Skills and Composio.

Why Use It

Manual management of feature flags and related configurations in LaunchDarkly can be error-prone and time-consuming, especially in large and complex environments. Automation reduces the risk of human error, increases deployment velocity, and enhances consistency across multiple projects and teams. By leveraging the Launch Darkly Automation skill, teams can:

  • Ensure repeatable and auditable changes to flags and environments
  • Integrate feature management into CI/CD and release workflows
  • Dynamically adjust rollout rules and user targeting based on external triggers
  • Scale feature experimentation and progressive delivery with minimal manual overhead

This skill is particularly beneficial for organizations that practice continuous delivery, trunk-based development, or rely on rapid experimentation using feature flagging.

How to Use It

To use the Launch Darkly Automation skill with Happycapy Skills, you must have:

  • A LaunchDarkly account and API access token
  • Access to the Happycapy Skills platform with Rube MCP (Composio) automation enabled
  • The Launch Darkly Automation skill installed and configured

Below are typical usage scenarios and examples detailing how to interact with LaunchDarkly resources programmatically.

Example 1: Creating a Feature Flag

## Example: Creating a feature flag using the skill in a Rube MCP workflow

inputs = {
    "project_key": "web-app",
    "flag_key": "new-signup-flow",
    "name": "Enable New Signup Flow",
    "description": "Controls rollout of the redesigned signup flow",
    "variations": [
        {"value": False, "name": "Off"},
        {"value": True, "name": "On"}
    ],
    "default_on_variation": True,
    "default_off_variation": False
}

result = run_skill(
    skill_id="launch-darkly-automation-2",
    action="create_feature_flag",
    inputs=inputs
)
print(result)

Example 2: Updating a Flag Rollout Rule

## Example: Updating percentage rollout for a flag

inputs = {
    "project_key": "web-app",
    "flag_key": "new-signup-flow",
    "rules": [
        {
            "variation": True,
            "rollout_percentage": 25  # Enable for 25% of users
        }
    ]
}

result = run_skill(
    skill_id="launch-darkly-automation-2",
    action="update_flag_rules",
    inputs=inputs
)
print(result)

Example 3: Creating a User Segment

## Example: Creating a user segment

inputs = {
    "project_key": "web-app",
    "env_key": "production",
    "segment_key": "beta-testers",
    "name": "Beta Testers",
    "users": ["user123", "user456"]
}

result = run_skill(
    skill_id="launch-darkly-automation-2",
    action="create_segment",
    inputs=inputs
)
print(result)

Supported Actions

The skill supports a range of actions, including:

  • Creating, updating, and deleting feature flags
  • Creating and managing environments
  • Managing user segments and targeting
  • Configuring rollout rules and percentage rollouts

Automation is triggered via Rube MCP workflows, scripts, or other Composio-compatible orchestrations.

When to Use It

Use the Launch Darkly Automation skill whenever you need to automate feature management tasks as part of your development or deployment pipelines. Typical scenarios include:

  • Automated provisioning of feature flags for new features across multiple environments
  • Bulk updates to flag configurations in response to release milestones
  • Scheduled or triggered rollouts based on external events or metrics
  • Managing user segments for targeted experiments or beta programs
  • Integrating LaunchDarkly changes with version control or infrastructure-as-code practices

This skill is especially useful in environments where deployment frequency is high, where teams need tight control over feature delivery, or where experiments and canary releases are standard practice.

Important Notes

  • Ensure your LaunchDarkly API token has the correct permissions for the operations you intend to automate.
  • Actions performed by this skill are immediate and can affect live environments - test workflows in non-production environments before deploying to production.
  • The skill operates via API calls to LaunchDarkly and depends on the reliability and rate limits of the LaunchDarkly API.
  • Audit and logging of automated changes are recommended for traceability and compliance.
  • Always verify input parameters to avoid unwanted changes, especially when deleting or updating flags and segments.
  • Review the source repository for the latest features, updates, and documentation.

By integrating this skill into your Happycapy and Composio workflows, you can achieve robust, scalable, and safe automation of feature management in LaunchDarkly.