geepers-orchestrate for Openclaw

Execute sophisticated multi-agent Dream Cascade and Dream Swarm workflows for complex research and synthesis tasks.

lukeslp
v1.0.0
Feb 18, 2026
0
1.3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install geepers-orchestrate

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is geepers-orchestrate?

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.

geepers-orchestrate Use Cases

  • Conducting deep academic or medical research across multiple databases simultaneously.
  • Generating executive summaries of complex, fast-moving technical fields like quantum computing hardware.
  • Cross-domain synthesis where data from disparate sources must be merged into a single report.
  • Long-horizon analysis tasks that benefit from parallel processing to significantly reduce total wall-clock time.

How geepers-orchestrate Works

  1. The user provides a query or task description to the Openclaw Skills interface.
  2. The skill authenticates with the dr.eamer.dev API using a pre-configured DREAMER_API_KEY environment variable.
  3. Based on the selected endpoint, the system either triggers a parallel Swarm of agents or a three-tier Cascade (Belter agents gather data, Drummer agents synthesize, and Camina produces the summary).
  4. The orchestrator synthesizes the various agent outputs into a cohesive, high-quality final result.
  5. The skill returns a structured JSON response containing the synthesized answer, citations, and performance metrics.

geepers-orchestrate Setup

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/.

geepers-orchestrate Data Schema & Taxonomy

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.

geepers-orchestrate Advanced Features

  • Hierarchical 3-Tier Synthesis: Utilizes a specialized hierarchy (Belter, Drummer, Camina) for sophisticated content processing.
  • Multi-Source Parallelism: Simultaneously queries PubMed, Semantic Scholar, Wikipedia, and other high-authority sources in one request.
  • Provider Flexibility: Supports specifying specific LLM providers (e.g., Anthropic) for the hierarchical workflow synthesis.
  • Configurable Agent Density: Allows users to define the number of agents (e.g., up to 8) to balance between depth of research and resource usage.

SKILL.md


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