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Geepers Orchestrate

by @lukeslp

Run multi-agent Dream Cascade (hierarchical 3-tier synthesis) or Dream Swarm (parallel multi-domain search) workflows via the dr.eamer.dev orchestration API....

Versionv1.0.0
Downloads1,155
TERMINAL
clawhub install geepers-orchestrate

πŸ“– About This Skill


name: geepers-orchestrate description: 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.

Dreamer Orchestrate

Run multi-agent workflows through https://api.dr.eamer.dev.

Authentication

export DREAMER_API_KEY=your_key_here

Endpoints

Dream Swarm β€” 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 β€” 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 β†’ Drummer agents synthesize domains β†’ 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)
  • ⚑ When to Use

    TriggerAction
    - Cross-domain synthesis that would take multiple sequential queries
    - Long-horizon analysis where parallelism saves time