TacoSkill LAB
TacoSkill LAB
HomeSkillHubCreatePlaygroundSkillKit
© 2026 TacoSkill LAB
AboutPrivacyTerms
  1. Home
  2. /
  3. SkillHub
  4. /
  5. building-classification-models
Improve

building-classification-models

4.0

by jeremylongshore

183Favorites
136Upvotes
0Downvotes

Build and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classification model", or "train classifier". Trigger with relevant phrases based on skill purpose.

classification

4.0

Rating

0

Installs

Machine Learning

Category

Quick Review

The skill provides a well-structured overview of building classification models with clear examples and use cases. However, it lacks concrete implementation details, relying heavily on a referenced 'classification-model-builder plugin' without providing actual code, scripts, or detailed steps. The description is somewhat generic and doesn't specify what makes this skill's approach unique. Task knowledge is insufficient as there are no actual algorithms, code templates, or executable scripts provided. While the structure is clear and organized, the skill would struggle to guide an agent through actual model building without the referenced plugin details. Novelty is moderate since basic classification tasks are standard ML operations, though automated model selection and hyperparameter tuning could add value if implemented.

LLM Signals

Description coverage4
Task knowledge2
Structure5
Novelty3

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

Related Skills

ml-pipelinesparse-autoencoder-traininghuggingface-accelerate

Loading SKILL.md…

Try onlineView on GitHub

Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

Related Skills

ml-pipeline

Jeffallan

6.4

sparse-autoencoder-training

zechenzhangAGI

7.6

huggingface-accelerate

zechenzhangAGI

7.6

moe-training

zechenzhangAGI

7.6
Try online