launch_darkly-automation
Scannednpx machina-cli add skill ComposioHQ/awesome-claude-skills/launch_darkly-automation --openclawLaunchDarkly Automation via Rube MCP
Automate LaunchDarkly operations through Composio's LaunchDarkly toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/launch_darkly
Prerequisites
- Rube MCP must be connected (RUBE_SEARCH_TOOLS available)
- Active LaunchDarkly connection via
RUBE_MANAGE_CONNECTIONSwith toolkitlaunch_darkly - Always call
RUBE_SEARCH_TOOLSfirst to get current tool schemas
Setup
Get Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
- Verify Rube MCP is available by confirming
RUBE_SEARCH_TOOLSresponds - Call
RUBE_MANAGE_CONNECTIONSwith toolkitlaunch_darkly - If connection is not ACTIVE, follow the returned auth link to complete setup
- Confirm connection status shows ACTIVE before running any workflows
Tool Discovery
Always discover available tools before executing workflows:
RUBE_SEARCH_TOOLS: queries=[{"use_case": "feature flags, environments, segments, and rollout management", "known_fields": ""}]
This returns:
- Available tool slugs for LaunchDarkly
- Recommended execution plan steps
- Known pitfalls and edge cases
- Input schemas for each tool
Core Workflows
1. Discover Available LaunchDarkly Tools
RUBE_SEARCH_TOOLS:
queries:
- use_case: "list all available LaunchDarkly tools and capabilities"
Review the returned tools, their descriptions, and input schemas before proceeding.
2. Execute LaunchDarkly Operations
After discovering tools, execute them via:
RUBE_MULTI_EXECUTE_TOOL:
tools:
- tool_slug: "<discovered_tool_slug>"
arguments: {<schema-compliant arguments>}
memory: {}
sync_response_to_workbench: false
3. Multi-Step Workflows
For complex workflows involving multiple LaunchDarkly operations:
- Search for all relevant tools:
RUBE_SEARCH_TOOLSwith specific use case - Execute prerequisite steps first (e.g., fetch before update)
- Pass data between steps using tool responses
- Use
RUBE_REMOTE_WORKBENCHfor bulk operations or data processing
Common Patterns
Search Before Action
Always search for existing resources before creating new ones to avoid duplicates.
Pagination
Many list operations support pagination. Check responses for next_cursor or page_token and continue fetching until exhausted.
Error Handling
- Check tool responses for errors before proceeding
- If a tool fails, verify the connection is still ACTIVE
- Re-authenticate via
RUBE_MANAGE_CONNECTIONSif connection expired
Batch Operations
For bulk operations, use RUBE_REMOTE_WORKBENCH with run_composio_tool() in a loop with ThreadPoolExecutor for parallel execution.
Known Pitfalls
- Always search tools first: Tool schemas and available operations may change. Never hardcode tool slugs without first discovering them via
RUBE_SEARCH_TOOLS. - Check connection status: Ensure the LaunchDarkly connection is ACTIVE before executing any tools. Expired OAuth tokens require re-authentication.
- Respect rate limits: If you receive rate limit errors, reduce request frequency and implement backoff.
- Validate schemas: Always pass strictly schema-compliant arguments. Use
RUBE_GET_TOOL_SCHEMASto load full input schemas whenschemaRefis returned instead ofinput_schema.
Quick Reference
| Operation | Approach |
|---|---|
| Find tools | RUBE_SEARCH_TOOLS with LaunchDarkly-specific use case |
| Connect | RUBE_MANAGE_CONNECTIONS with toolkit launch_darkly |
| Execute | RUBE_MULTI_EXECUTE_TOOL with discovered tool slugs |
| Bulk ops | RUBE_REMOTE_WORKBENCH with run_composio_tool() |
| Full schema | RUBE_GET_TOOL_SCHEMAS for tools with schemaRef |
Toolkit docs: composio.dev/toolkits/launch_darkly
Source
git clone https://github.com/ComposioHQ/awesome-claude-skills/blob/master/composio-skills/launch_darkly-automation/SKILL.mdView on GitHub Overview
Automate LaunchDarkly operations through Composio's Rube MCP toolkit. This enables managing feature flags, environments, segments, and rollouts from a unified workflow. Always search for current tool schemas before taking actions to avoid stale definitions.
How This Skill Works
Connect to LaunchDarkly using RUBE_MANAGE_CONNECTIONS with the launch_darkly toolkit and ensure the connection is ACTIVE. Use RUBE_SEARCH_TOOLS to fetch available LD tools and their input schemas, then execute actions with RUBE_MULTI_EXECUTE_TOOL or RUBE_REMOTE_WORKBENCH for bulk tasks. The workflow emphasizes discovering tools first and validating schemas before making changes.
When to Use It
- Before making any changes, discover available LaunchDarkly tools and their input schemas to avoid guessing.
- You need to enable/disable a flag or adjust rollout percentages across environments.
- You want to perform bulk operations across many flags, environments, segments, or rollouts.
- You're orchestrating a multi-step LD workflow that requires data passed between steps.
- You suspect the LaunchDarkly connection or tokens have expired and need re-authentication.
Quick Start
- Step 1: Verify RUBE MCP and ensure RUBE_SEARCH_TOOLS responds; prepare your LD toolkit connection.
- Step 2: Discover available LaunchDarkly tools and their input schemas with RUBE_SEARCH_TOOLS.
- Step 3: Execute a chosen tool using RUBE_MULTI_EXECUTE_TOOL (or RUBE_REMOTE_WORKBENCH for bulk tasks) and validate the ACTIVE connection.
Best Practices
- Always search tools first to get current tool schemas and avoid hardcoding slugs.
- Verify the LaunchDarkly connection is ACTIVE before executing any tools.
- Validate inputs against the tool schemas; use RUBE_GET_TOOL_SCHEMAS when schemaRef is returned.
- Respect rate limits; implement backoff and retry strategies for LD API interactions.
- Use RUBE_REMOTE_WORKBENCH for bulk operations and thread-pooled parallel execution, sharing results across steps.
Example Use Cases
- Discover all available LaunchDarkly tools, then run a single flag enablement across multiple environments.
- Update rollout percentages for a set of flags across several environments in one workflow.
- Fetch lists of flags, environments, and segments, then perform a dependent multi-step update.
- Proceed with a multi-step LD workflow and re-authenticate if an access token expires mid-process.
- Bulk clean up deprecated flags using RUBE_REMOTE_WORKBENCH with parallel execution.