---

name: swarm-orchestrator description: Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel. license: MIT metadata: author: Artificial Intelligence Group version: "1.0.0" compatibility:

• system: Python 3.9+
• library: asyncio allowed-tools:
• run_shell_command

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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.

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:

Copypython3 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).