Geepers Orchestrate OpenClaw Plugin & Skill | ClawHub
Looking to integrate Geepers Orchestrate into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate web & frontend development tasks instantly, without having to write custom tools from scratch.
What this skill does
Run multi-agent Dream Cascade (hierarchical 3-tier synthesis) or Dream Swarm (parallel multi-domain search) workflows via the dr.eamer.dev orchestration API. Use when a task benefits from multiple specialized agents working in parallel or hierarchically.
Install
openclaw skills install @lukeslp/geepers-orchestratenpx clawhub@latest install geepers-orchestrateFull SKILL.md
Open original| name | description |
|---|---|
| geepers-orchestrate | Run multi-agent Dream Cascade (hierarchical 3-tier synthesis) or Dream Swarm (parallel multi-domain search) workflows via the dr.eamer.dev orchestration API. Use when a task benefits from multiple specialized agents working in parallel or hierarchically. |
SKILL.md content below is scrollable.
Dreamer Orchestrate
Run multi-agent workflows through https://api.dr.eamer.dev.
Authentication
export DREAMER_API_KEY=your_key_here
Endpoints
Dream Swarm — Parallel Search
POST https://api.dr.eamer.dev/v1/orchestrate/swarm
Body:
{
"query": "What are the most effective treatments for Type 2 diabetes?",
"sources": ["pubmed", "semantic_scholar", "wikipedia"],
"num_agents": 5
}
Runs multiple agents simultaneously across data sources and synthesizes results.
Dream Cascade — Hierarchical Synthesis
POST https://api.dr.eamer.dev/v1/orchestrate/cascade
Body:
{
"task": "Analyze the current state of quantum computing hardware",
"num_agents": 8,
"provider": "anthropic"
}
Three-tier workflow: Belter agents gather raw data → Drummer agents synthesize domains → Camina produces executive summary.
Response Format
Both endpoints return:
{
"result": "Synthesized answer...",
"sources": [...],
"agent_count": 5,
"duration_ms": 12450
}
When to Use
- Complex research questions requiring multiple perspectives
- Cross-domain synthesis that would take multiple sequential queries
- Long-horizon analysis where parallelism saves time
Don't Use When
- Simple single-source queries (use dreamer-data instead)
- You need fine-grained control over individual agent behavior
- Latency is critical (orchestration takes 10-60 seconds)