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gradient-clipping-helper
Gradient Clipping Helper - Auto-activating skill for ML Training. Triggers on: gradient clipping helper, gradient clipping helper Part of the ML Training skill category.
allowed_tools: Read, Write, Edit, Bash(python:*), Bash(pip:*)
$ 安裝
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills /tmp/claude-code-plugins-plus-skills && cp -r /tmp/claude-code-plugins-plus-skills/planned-skills/generated/07-ml-training/gradient-clipping-helper ~/.claude/skills/claude-code-plugins-plus-skills// tip: Run this command in your terminal to install the skill
SKILL.md
name: gradient-clipping-helper description: | Gradient Clipping Helper - Auto-activating skill for ML Training. Triggers on: gradient clipping helper, gradient clipping helper Part of the ML Training skill category. allowed-tools: Read, Write, Edit, Bash(python:), Bash(pip:) version: 1.0.0 license: MIT author: Jeremy Longshore [email protected]
Gradient Clipping Helper
Purpose
This skill provides automated assistance for gradient clipping helper tasks within the ML Training domain.
When to Use
This skill activates automatically when you:
- Mention "gradient clipping helper" in your request
- Ask about gradient clipping helper patterns or best practices
- Need help with machine learning training skills covering data preparation, model training, hyperparameter tuning, and experiment tracking.
Capabilities
- Provides step-by-step guidance for gradient clipping helper
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards
Example Triggers
- "Help me with gradient clipping helper"
- "Set up gradient clipping helper"
- "How do I implement gradient clipping helper?"
Related Skills
Part of the ML Training skill category. Tags: ml, training, pytorch, tensorflow, sklearn
Repository

jeremylongshore
Author
jeremylongshore/claude-code-plugins-plus-skills/planned-skills/generated/07-ml-training/gradient-clipping-helper
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Updated5d ago
Added6d ago