early-stopping-callback

Early Stopping Callback - Auto-activating skill for ML Training.

Skill by HuuBar

IndexedMIT

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/huubar-early-stopping-callback

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category.

Use cases: ml

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/early-stopping-callback

Tools it pre-approves 5

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

Read,
Write,
Edit,
Bash(python:*),
Bash(pip:*)

What's inside

Skill name: early-stopping-callback
Description: Early Stopping Callback - Auto-activating skill for ML Training. Triggers on: early stopping callback, early stopping callback Part of the ML Training skill category.
License: MIT
Allowed tools: Read,, Write,, Edit,, Bash(python:*),, Bash(pip:*)
Instructions: 32 lines in SKILL.md · view on GitHub

Before installing

Pre-approves some shell commands

Files (1)

SKILL.md

SKILL.md (first lines)

# Early Stopping Callback

## Purpose

This skill provides automated assistance for early stopping callback tasks within the ML Training domain.

## When to Use

This skill activates automatically when you:
- Mention "early stopping callback" in your request
- Ask about early stopping callback 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 early stopping callback
- Follows industry best practices and patterns
- Generates production-ready code and configurations
- Validates outputs against common standards

## Example Triggers

- "Help me with early stopping callback"
- "Set up early stopping callback"
- "How do I implement early stopping callback?"

## Related Skills

Part of the **ML Training** skill category.
Tags: ml, training, pytorch, tensorflow, sklearn

From HuuBar/skill-orchestration-vs-retrieval, MIT.

Signals

Stars: 0
Forks: 0
Open issues: 0
Last commit (this folder): Sep 1, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/HuuBar/skill-orchestration-vs-retrieval
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

Same skill elsewhere

Copies of this SKILL.md published by others; search shows only one of them.

0.315score
early-stopping-callback
HuuBar
Early Stopping Callback - Auto-activating skill for ML Training.
SkillBFreshness: BClaude Code +9

More from HuuBar

Cite this page

early-stopping-callback skill. Agent Mart. https://agentmart.dev/skills/huubar-early-stopping-callback (last updated 2026-10-24)