TacoSkill LAB
TacoSkill LAB
HomeSkillHubCreatePlaygroundSkillKit
© 2026 TacoSkill LAB
AboutPrivacyTerms
  1. Home
  2. /
  3. SkillHub
  4. /
  5. bracket-predictor
Improve

bracket-predictor

2.9

by OneWave-AI

96Favorites
65Upvotes
0Downvotes

March Madness, playoff brackets, tournament picks. Upset potential, chalk vs contrarian strategies, historical trends, confidence levels.

sports analytics

2.9

Rating

0

Installs

Data & Analytics

Category

Quick Review

The skill provides a basic framework for bracket prediction with clear output formatting, but lacks substantive domain knowledge. While the description mentions key concepts (upset potential, chalk vs contrarian, historical trends), the instructions offer only generic guidance without concrete methodologies, data sources, statistical models, or bracket-specific strategies. The structure is clean but extremely shallow—no actual prediction algorithms, historical data references, or tournament-specific heuristics are provided. Novelty is low because a CLI agent could produce similar generic bracket analysis without this skill; the skill doesn't meaningfully reduce token costs or provide specialized knowledge that would be expensive to generate ad-hoc. To improve: add concrete upset prediction criteria (e.g., seed differentials, tempo matchups), historical tournament statistics, specific analytical frameworks (KenPom, NET rankings), and detailed examples of bracket picks with reasoning.

LLM Signals

Description coverage4
Task knowledge3
Structure4
Novelty2

GitHub Signals

27
6
1
1
Last commit 92 days ago

Publisher

OneWave-AI

OneWave-AI

Skill Author

Related Skills

spark-engineerpandas-proxlsx

Loading SKILL.md…

Try onlineView on GitHub

Publisher

OneWave-AI avatar
OneWave-AI

Skill Author

Related Skills

spark-engineer

Jeffallan

6.4

pandas-pro

Jeffallan

6.4

xlsx

mrgoonie

7.2

infographic-syntax-creator

antvis

6.8
Try online