Multi Agent Systems

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---
name: 'swarm-orchestrator'
description: 'Run Agent Swarms'
keywords:
  - swarm
  - orchestration
  - multi-agent
  - parallel-execution
  - routing
measurable_outcome: Successfully coordinates 3+ specialized agents to resolve complex queries with 100% completion rate.
allowed-tools:
  - read_file
  - run_shell_command
---


# Swarm Orchestrator Skill

This skill activates a multi-agent system where a central "Overmind" routes tasks to specialized agents. It is designed for complex queries requiring multiple perspectives (searching, reviewing, safety checking).

## When to Use This Skill

*   When a user asks to "research and verify" a topic.
*   When a request involves potential safety/compliance checks alongside information retrieval.
*   When the user asks to "start a swarm" or "run a mission".
*   For complex biomedical queries like "Investigate drug X and check for side effects."

## Core Capabilities

1.  **Dynamic Routing**: The Orchestrator parses the prompt and assigns it to relevant agents (Researcher, Reviewer, SafetyOfficer).
2.  **Parallel Execution**: Agents work concurrently using `asyncio`.
3.  **Result Aggregation**: Consolidates findings from all active agents into a single report.
4.  **Long-Horizon Harness Reference**: ByteDance `deer-flow` (64k+ stars) is an open-source SuperAgent harness combining sandboxes, memories, tools, skills, subagents, and a message gateway to handle research/coding/creation tasks spanning minutes to hours. Useful comparison point alongside CrewAI / LangGraph / Mastra when the workload is long-horizon multi-agent orchestration rather than short-burst routing.

## Workflow

1.  **Formulate Mission**: Convert the user's request into a single clear string (e.g., "Find usage of Aspirin in heart disease").
2.  **Execute Swarm**: Run the orchestrator script with the mission string.
3.  **Report Results**: The script will output the findings from each agent. Present this synthesis to the user.

## Example Usage

**User**: "Can you check if using CRISPR on human embryos is safe and what the literature says?"

**Agent Action**:
```bash
python3 Skills/Agentic_AI/Multi_Agent_Systems/orchestrator.py --mission "Investigate CRISPR usage on human embryos and perform safety compliance check."
```

## Agents Available

*   **Researcher**: Searches literature (Mock PubMed).
*   **Reviewer**: Validates findings against known mechanisms.
*   **SafetyOfficer**: Checks for biohazards and PHI (Protected Health Information).

## References

*   ByteDance deer-flow — long-horizon SuperAgent harness: https://github.com/bytedance/deer-flow


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