TheQmaks

Crowdcast — AI skill for Claude Code

AI community intermediate

Multi-agent social simulation as a Claude Code skill.

How to install Crowdcast

This entry records only its repository, not the path inside it, so there is no exact command to give. Open TheQmaks/crowdcast and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Crowdcast does

**Multi-agent social simulation as a Claude Code skill.**

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README

Crowdcast

**Multi-agent social simulation as a Claude Code skill.**

Drop in a document, describe what you want to predict — Crowdcast spawns dozens of AI agents that argue, post, react, and evolve on a simulated platform. Then it writes you a report.

No APIs to configure. No databases to run. No web server. Just `/crowdcast simulate`.

Why Crowdcast over MiroFish?

[MiroFish](https://github.com/666ghj/MiroFish) is the original multi-agent prediction engine that inspired this project. It's a great tool — but it comes with friction:

MiroFish Crowdcast
Setup Python + Node.js + Docker + env vars git clone into ~/.claude/skills/
External APIs Zep Cloud ($25/mo) + LLM API ($5-15/run) None — included in Claude subscription
Rate limits Zep free tier: 1 simulation/month Unlimited
Infrastructure Flask server + Vue.js frontend + Zep + OASIS Zero — runs inside Claude Code
Resume after crash Manual — restart from scratch /crowdcast resume picks up where it stopped
Agent scale Up to millions (via OASIS) Up to ~100 (practical limit)
Agent depth Uniform — all agents use same LLM prompt Hybrid — key agents think deeply, crowd is batched
Creative mode Limited (primarily forecast-oriented) Full narrative simulation with character arcs
Interview agents Requires running server /crowdcast interview — instant, in terminal

**TL;DR:** MiroFish is more powerful at massive scale. Crowdcast is simpler, cheaper, and more accessible for most use cases. If you need to simulate a million agents, use MiroFish. If you need a quick prediction from 50 agents with zero setup, use Crowdcast.

What It Does

Upload a document (news article, research report, novel) and describe what you want to simulate:

  1. Analyze — extract entities, relationships, and context from your documents

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