666ghj mirofish

Skill yanacuti1121/Yana-AI/.claude/skills/666ghj--mirofish

MiroFish — Swarm Intelligence Engine: upload seed data → simulate thousands of agents → predict future trajectories. GraphRAG + multi-agent simulation + interactive chat.From its SKILL.md

Install

npx -y skills add yanacuti1121/Yana-AI --skill 666ghj--mirofish

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SKILL.md

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MiroFish: prediction engine dùng multi-agent swarm — build digital simulation từ seed data, run thousands of agents interact và evolve, dự đoán future trajectories.

Use Cases

Policy simulation trước khi triển khai thực tế
Public opinion simulation
Financial/political prediction
Literary/narrative analysis (e.g., alternate storyline endings)
Scenario testing cho hypothetical decisions

5-Stage Pipeline

Stage 1 — Graph Building
  Ingest seed data (reports, news, stories)
  Build GraphRAG structures + memory injection

Stage 2 — Environment Setup
  Extract entity relationships
  Generate agent personas
  Configure interaction rules

Stage 3 — Simulation
  Run parallel dual-platform simulations
  Dynamic temporal memory updates
  Thousands of agents interact + evolve

Stage 4 — Report Generation
  ReportAgent với specialized toolsets
  Post-simulation analysis + insights

Stage 5 — Deep Interaction
  Chat với simulated agents
  Chat với ReportAgent về findings

Stack

Frontend: Node.js 18+ (localhost:3000)
Backend:  Python 3.11-3.12 (localhost:5001)
LLM:      Alibaba Qwen (recommended) hoặc bất kỳ OpenAI-compatible
Memory:   Zep Cloud
Deploy:   source code hoặc Docker

Quick Start

git clone https://github.com/666ghj/MiroFish
cd MiroFish
# Setup .env với LLM API key
docker-compose up
# Frontend: localhost:3000
# Upload seed data → describe prediction → get report

Khi nào dùng

Cần test policy/strategy trước khi commit
Muốn simulate public reaction cho một quyết định
Research: agent emergent behavior từ simple rules
Creative: explore alternate narrative outcomes

Source

https://github.com/666ghj/MiroFish · MIT · +493⭐/day