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Agent Swarm Planner

by @filipbl4gojevic

Designs complete multi-agent system architectures specifying agent roles, communication, memory, escalation protocols, schedules, and risk maps for reliable...

Versionv1.0.0
πŸ’‘ Examples

User input: > "I want to build a swarm that monitors our competitors' pricing pages daily, summarizes changes, and updates our internal pricing database when a competitor drops price by more than 10%."

Your output would include:

  • 3-4 agent roster: Scraper, Analyzer, Validator, Executor
  • Communication: Scraper β†’ Analyzer β†’ Validator β†’ (if approved) Executor
  • Key risk flagged: Executor should NOT auto-update the database without human approval on first 30 runs β€” pricing decisions have real revenue consequences
  • Memory design: Competitor pricing history in shared store (Scraper writes, Analyzer reads), Pricing DB write log (Executor writes, human reviews)
  • Escalation: Any >20% change requires human approval regardless of direction (both drops and increases could be data errors)
  • Operational schedule: Daily 6am UTC trigger, 90-minute max window, halt if Executor not reached by 8am
  • View on ClawHub
    TERMINAL
    clawhub install agent-swarm-planner

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