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perform-talent-intelligence

A meta-learning approach for generating accurate and efficient workflows and predictions from scratch, tested across domains including NLP and computer vision.

Updated Aug 23, 2026
Search Tags:#data-analysis#content-generation#grading#football#prospect#consensus-comparison
One-click install
npx skills add https://github.com/BoomerAng9/foai --skill perform-talent-intelligence
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: perform-talent-intelligence
Source: https://github.com/BoomerAng9/foai/tree/main/perform/src/lib/skills/perform-talent-intelligence
Command: npx skills add https://github.com/BoomerAng9/foai --skill perform-talent-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Per|Form Talent Intelligence Skill provides a comprehensive, end-to-end framework to evaluate football prospects by converting multi-source data into a single, comparable score using a defensible 40/30/30 formula, while generating publish-ready content.

Core Features & Use Cases

  • 40/30/30 grading with recency weighting and context adjustments
  • Data pipeline integration (TRCC) pulling from PFF, nflverse, 247Sports, On3 NIL, MAXPREPS, and more
  • Multi-position versatility bonuses for true two-way players
  • Content generation: 500-800 word articles and 2-4 minute podcasts per player
  • Consensus comparisons across systems for cross-validation
  • Tailored to NFL Draft prospects, NIL/Portal college scenarios, HS recruits, and flag football contexts

Quick Start

Grade a given football prospect using the 40/30/30 formula, apply recency weighting and context variables, and generate a 500–800 word article plus a 2–4 minute podcast script.

Frequently Asked Questions about perform-talent-intelligence

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

FAQPage Schema
How do I calculate a football prospect's talent score using a grading formula?▼

Football prospect talent scoring applies a 40/30/30 grading formula across Game Performance, Athleticism, and Intangibles to compute a Per|Form score. Recency weighting and context variables adjust the score to reflect season trends and conditioning.

Can I generate draft content and podcast scripts directly from player evaluation data?▼

Player evaluation data generates publish-ready content directly, producing a 500-800 word article and a 2-4 minute podcast script per player. This occurs automatically after computing the final Per|Form score and grade tier.

What is the best way to compare football prospects across different data sources?▼

Comparing football prospects across sources uses consensus comparison to cross-validate rankings. The pipeline integrates data from PFF, nflverse, 247Sports, On3 NIL, and MAXPREPS to compute a single, comparable talent score.

Does this prospect grading tool work for NIL, portal, and high school recruiting scenarios?▼

Prospect grading supports NIL, transfer portal, high school recruiting, and NFL Draft scenarios. The evaluation applies multi-position versatility bonuses and context adjustments tailored to each specific football context.

How does recency weighting affect a football prospect's final evaluation score?▼

Recency weighting adjusts the final evaluation score by emphasizing recent season trends and current conditioning levels. This ensures the Per|Form score reflects a player's latest performance trajectory rather than full-season averages alone.

Are there prerequisites for calculating the 40/30/30 Per|Form score for a football player?▼

Calculating the Per|Form score requires multi-source football data covering game performance, athleticism, and intangibles. The pipeline pulls this data from PFF, nflverse, 247Sports, On3 NIL, and MAXPREPS to feed the grading formula.

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