Tensorflow Model Trainer
- 48 installs
- 2.6k repo stars
- Updated August 5, 2026
- jeremylongshore/claude-code-plugins-plus-skills
Trains TensorFlow models with data preparation, hyperparameter tuning and experiment tracking.
About
Guides building and training TensorFlow models across the ML training workflow. A developer uses it when preparing data and training models with Python.
- Part of the ML Training skill category
- Covers data prep, hyperparameter tuning and experiment tracking
Tensorflow Model Trainer by the numbers
- 48 all-time installs (skills.sh)
- Ranked #942 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill tensorflow-model-trainerAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 48 |
|---|---|
| repo stars | ★ 2.6k |
| Last updated | August 5, 2026 |
| Repository | jeremylongshore/claude-code-plugins-plus-skills ↗ |
What it does
Trains TensorFlow models with data preparation, hyperparameter tuning and experiment tracking.
Files
Tensorflow Model Trainer
Overview
This skill provides automated assistance for tensorflow model trainer tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "tensorflow model trainer" in your request
- Ask about tensorflow model trainer patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Instructions
1. Provides step-by-step guidance for tensorflow model trainer 2. Follows industry best practices and patterns 3. Generates production-ready code and configurations 4. Validates outputs against common standards
Examples
Example: Basic Usage Request: "Help me with tensorflow model trainer" Result: Provides step-by-step guidance and generates appropriate configurations
Prerequisites
- Relevant development environment configured
- Access to necessary tools and services
- Basic understanding of ml training concepts
Output
- Generated configurations and code
- Best practice recommendations
- Validation results
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Resources
- Official documentation for related tools
- Best practices guides
- Community examples and tutorials
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn
Related skills
Microsoft FoundryDeploy, evaluate, and continuously improve Microsoft Foundry agents from a single agent interface.490k1.3k
Ai Research ReproductionOrchestrate trustworthy, auditable reproduction of deep learning repositories directly from their READMEs.176k511Run TrainSafely execute selected deep learning training commands with standardized evidence capture.176k511Explore RunSafely run isolated exploratory experiments with clear recording and conservative selection before committing changes.176k511Paper Context ResolverFetch precise reproduction-critical details like dataset splits, preprocessing steps, or evaluation protocols from the original academic paper when the repo README leav141k511Repo Intake And PlanScan unfamiliar AI research repositories and receive a minimal, trustworthy reproduction target before investing significant time.140k511