Agent skill · AI & Agents

train-model

Execute model training with optimization algorithms. Use when running training loops on datasets.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill train-model-homericintelligence-projectodyssey-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/ai-ml/train-model-homericintelligence-projectodyssey-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Train Model Implement and execute model training loops including forward/backward passes, gradient updates, and checkpoint management. ## When to Use - Running full training pipeline on datasets - Fine-tuning pretrained models - Experimenting with hyperparameter variations - Reproducing paper results ## Quick Reference ```mojo # Mojo training loop pattern struct Trainer: var model: NeuralNetwork var optimizer: Optimizer var loss_fn: LossFn fn train_epoch(mut self, mut dataloader: BatchLoader) -> Float32: var total_loss: Float32 = 0.0 var batches: Int = 0 for batch in dataloader: var predictions = self.model(batch.inputs) var loss = self.loss_fn(predictions, batch.targets) # Backward pass and optimization total_loss += loss batches += 1 return total_loss / Float32(batches) ``` ## Workflow 1. **Prepare data pipeline**: Load and batch training data 2. **Initialize model**: Create network with specified architecture 3. **Set up optimizer**: Choose optimizer (SGD, Adam) with learning rate 4. **Implement training loop**: Forward pass, compute loss, backward pass, update weights 5. **Monitor progress**: Log loss, save checkpoints, validate periodically ## Output Format Training report:

What's inside
Steps it walks through
  1. When to Use
  2. Quick Reference
  3. Workflow
  4. Output Format
  5. References
Ships with 1 file
  • metadata.json
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About this skill
What does the train-model skill do?

Execute model training with optimization algorithms. Use when running training loops on datasets.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill train-model-homericintelligence-projectodyssey-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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