How do I install the 666ghj Mirofish skill?

Run npx skillmds add yanacuti1121/666ghj-mirofish in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is 666ghj Mirofish safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with 666ghj Mirofish?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is 666ghj Mirofish free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published 666ghj Mirofish?

yanacuti1121 (@yanacuti1121) published this skill. Their other Agent Skills are listed on their SkillMD profile.

666ghj Mirofish by yanacuti1121 — Agent Skill

Name: 666ghj Mirofish
Rating: 4.5 (4 reviews)
Author: yanacuti1121

File contents

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

---name: 666ghj-mirofishdescription: MiroFish — Swarm Intelligence Engine: upload seed data → simulate thousands of agents → predict future trajectories. GraphRAG + multi-agent simulation + interactive chat.--- 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 ```bash 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

Frequently asked questions