cyberneticlibrary

Run parallel multi-agent research

infinite-gratitudeskillsetup L230
sstklen/infinite-gratitude
What it does

Fan-out multi-agent research via parallel task dispatch

Best for

Comprehensive research on a topic by parallelizing across multiple discovery angles

Inputs
  • · Research topic
  • · Depth level (quick/normal/deep)
  • · Number of agents (1-10)
Outputs
  • · Structured multi-source report
  • · GitHub, HuggingFace, papers, competitors, tutorials compiled
Requires
  • · Task creation API
  • · Subagent runner
  • · Haiku model
Preconditions
  • · Claude AI infrastructure
  • · Internet for research queries
Failure modes
  • · Follow-up loop never converges
  • · Agents duplicate findings
  • · Task timeout
Trust signals
  • · 5 parallel research directions built-in
  • · Wave-based collection strategy
  • · Loop termination condition
  • · Cost-optimized with haiku model