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fbm

Analyze fantasy baseball player projections and valuations with Yahoo league sync.

Updated Feb 4, 2026
Search Tags:#valuation#draft analysis#projection#fantasy baseball#yahoo fantasy#keeper league
One-click install
npx skills add https://github.com/edpaget/bot-showalter --skill fbm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fbm
Source: https://github.com/edpaget/bot-showalter/tree/main/.claude/skills/fbm
Command: npx skills add https://github.com/edpaget/bot-showalter --skill fbm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires uv, numpy, pandas, scikit-learn, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The FBM skill automates various aspects of fantasy baseball management, from player projection and valuation to Yahoo league syncing and keeper league analysis, solving the need for complex predictive analysis in fantasy baseball management.

Core Features & Use Cases

  • Player Projections & Valuations: Offers predictive analysis and valuations of player performance.
  • Yahoo Fantasy Integration: Integrates with Yahoo Fantasy to sync league data, draft history, and keeper costs.
  • Keeper League Management: Facilitates decision-making in keeper leagues through cost analysis and trade evaluation.
  • Mock Drafts & Analysis: Simulates draft scenarios and analyzes draft outcomes.
  • Data Sync & Model Inspection: Keeps local data sets synchronized with external sources and allows for inspection of model runs.
  • Use Case: A fantasy baseball league owner wants to set up an automated projection model for their keeper league, compare different projections, and sync with their Yahoo league. They can use FBM for these tasks.

Quick Start

Use the 'fbm' command to evaluate the performance of the 'marcel' projection system for the 2025 season.

Frequently Asked Questions about fbm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate fantasy baseball player projections and valuations?▼

Fantasy baseball player projections and valuations are generated using predictive analytics models built with numpy, pandas, and scikit-learn to analyze player performance data. The models calculate projected stats and derive valuations for players.

Can I sync my Yahoo Fantasy baseball league data and draft history?▼

Yes, you can sync your Yahoo Fantasy baseball league data, draft history, and keeper costs directly. The skill integrates with the Yahoo Fantasy API to pull and synchronize your league information for local analysis.

How do I analyze keeper costs and trade values for my fantasy baseball league?▼

Keeper league analysis evaluates player costs and trade values by comparing keeper costs against generated player projections and valuations. This facilitates data-driven keeper decisions and trade evaluations.

What is the best way to simulate fantasy baseball mock drafts?▼

Mock drafts and draft simulations are run by the skill to model various draft scenarios and analyze outcomes. It evaluates draft strategies by simulating player selections against generated projections and valuations.

Do I need Python and scikit-learn to run fantasy baseball predictive analytics?▼

Yes, you need Python with uv, numpy, pandas, and scikit-learn installed to run the predictive analytics. External Yahoo API access is also required if you want to synchronize your fantasy baseball league data.

How can I inspect fantasy baseball projection model runs and local data sets?▼

The skill provides built-in functionality to inspect model runs and keep local data sets synchronized with external sources. This allows you to review predictive model outputs and validate projection logic.

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