swarm-predict

name	swarm_predict
display_name	Swarm Prediction Specialist
description	Ensemble predictions via swarm intelligence with multi-model voting and consensus
version	0.1.0
source_repo	666ghj/MiroFish
license	MIT
tier	core
capabilities	["predict","ensemble","swarm_intelligence","consensus"]
allowed_tools	["create_prediction_swarm","aggregate_predictions","evaluate_consensus"]
output_formats	["python_api","cli","mcp_server","agent_skill","rest_api"]

Swarm Prediction Specialist

Overview

swarm_predict wraps the swarm intelligence prediction patterns from 666ghj/MiroFish. Rather than relying on a single model, it spins up a configurable swarm of independent model agents, collects their individual predictions, and resolves a consensus through weighted aggregation and agreement scoring.

The specialist is fully stateless — each request spawns a fresh swarm and returns a self-contained result dict. It supports numeric and categorical prediction targets and exposes three aggregation strategies: weighted vote, majority vote, and simple mean.

Capabilities

• predict: Route any prediction target through the swarm pipeline and receive a consensus value with confidence score.
• ensemble: Combine outputs from N independent model agents (default 5) to reduce variance and single-model bias.
• swarm_intelligence: Each agent operates independently before results are merged, mirroring biological swarm behaviour.
• consensus: Agreement ratio and blended confidence score surface when models agree strongly enough to act on the prediction.

Tools

Tool	Description	Side Effects
create_prediction_swarm	Initialise N model agents for a given target	None
aggregate_predictions	Merge individual predictions via weighted/majority/mean vote	None
evaluate_consensus	Score agreement ratio and emit a recommendation	None

Parameters

Request-level (intent.parameters)

Key	Type	Default	Description
target	str	(query.user_input)	Prediction target; falls back to the raw user query
num_models	int	5	Swarm size
method	str