Execute sophisticated multi-agent Dream Cascade and Dream Swarm workflows for complex research and synthesis tasks.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install geepers-orchestrate
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install geepers-orchestrate using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The geepers-orchestrate skill enables developers to leverage the dr.eamer.dev orchestration API for advanced multi-agent operations. By integrating this capability through Openclaw Skills, your AI environment can transition from single-agent queries to complex, multi-tiered intelligence gathering.
This skill provides two primary architectural patterns: the Dream Swarm for high-breadth parallel data retrieval across multiple sources and the Dream Cascade for deep, hierarchical synthesis. It is designed for tasks where a single model's perspective is insufficient, requiring a wisdom of the crowd approach or a structured executive summary generated by specialized agent layers.
To use this tool within your Openclaw Skills library, you must first obtain an API key from the Dreamer platform.
Set your API key as an environment variable in your terminal or configuration file:
export DREAMER_API_KEY=your_key_here
The skill is now ready to interface with the orchestration API endpoints at https://api.dr.eamer.dev/v1/orchestrate/.
The skill returns and processes data in a structured JSON format to ensure compatibility with other Openclaw Skills. Below is the schema for the orchestration responses:
| Field | Type | Description |
|---|---|---|
result |
String | The final synthesized answer or executive summary. |
sources |
Array | A list of data sources used by the agents (e.g., PubMed, Wikipedia). |
agent_count |
Integer | The total number of specialized agents involved in the task. |
duration_ms |
Integer | Total processing time in milliseconds. |
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