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stofo-optimize

Tune StoFo predictive parameters to maximize bid win probability.

Updated Aug 23, 2026
Search Tags:#optimization#prediction#bid#StoFo#MAE
One-click install
npx skills add https://github.com/sihu-dev/qetta --skill stofo-optimize
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stofo-optimize
Source: https://github.com/sihu-dev/qetta/tree/main/apps/web/.claude/skills/stofo-optimize
Command: npx skills add https://github.com/sihu-dev/qetta --skill stofo-optimize

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill tunes StoFo's predictive parameters to maximize bid win probability while keeping models interpretable.

Core Features & Use Cases

  • Parameter tuning: automated search over mean, std, and distribution for pricing and competitiveness.
  • Validation metrics: MAE, MAPE, and rank-based metrics to ensure robust predictions.
  • Backtesting: test strategies on historical data to compare performance.

Quick Start

/stofo tune /stofo validate