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Train Test Splitter

Test train test splitter operations. Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category. Use when writing or running tests. Trigger with phrases like "train test splitter", "train splitter", "train".

goai
By jeremylongshore
2.7k392Updated 1 day agoPythonMIT

Skill Content

# Train Test Splitter

## Overview

This skill provides automated assistance for train test splitter tasks within the ML Training domain.

## When to Use

This skill activates automatically when you:
- Mention "train test splitter" in your request
- Ask about train test splitter 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 train test splitter
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 train test splitter"
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

How to use

  1. Copy the skill content above
  2. Create a .claude/skills/claude-code-plugins-plus-skills-train-test-splitter directory in your project (or ~/.claude/skills/claude-code-plugins-plus-skills-train-test-splitter to use it in every project)
  3. Save the content as .claude/skills/claude-code-plugins-plus-skills-train-test-splitter/SKILL.md
  4. Claude Code loads it automatically when the task matches, or run /claude-code-plugins-plus-skills-train-test-splitter to invoke it directly

README

View on GitHub

Tons of Skills

A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is the first and best-supported harness, and additional harnesses appear on this surface only when a declared, generated adapter exists — never by adjective.

Release CLI Plugins Skills GitHub Stars skills.sh Sponsor: Kobiton Buy me a monster

Install

Inside Claude Code, one command installs the whole marketplace:

/plugin marketplace add jeremylongshore/claude-code-plugins
<!-- The slug above is a FROZEN compatibility contract (blueprint § 6A.3): it is hardcoded in the CLI, the website Hero snippet, and hundreds of downstream READMEs, and GitHub's redirect to the canonical repo name is load-bearing. No redesign may "normalize" it to the canonical repo name. -->

Or use the CLI:

pnpm add -g @intentsolutionsio/ccpi
ccpi install devops-automation-pack

Browse the marketplace · Explore plugins · Download bundles

<!-- KILLER-SKILL:START — do not edit; run `node scripts/render-spotlight.mjs` -->

Killer Skill of the Week — no-ai-slop by Peter Yang

Strip AI slop from any draft — named-pattern edits that keep the writer's real voice

no-ai-slop does two jobs and refuses to fake a third. In Edit mode it makes the minimum effective edit — cutting throat-clearing, weak verbs, and abstract nouns while deliberately preserving the writer's cadence, bluntness, humor, and honest admissions, so a rough draft still sounds like the same person afterward. In Detect mode it names each AI-slop pattern it finds, quotes the offending line, and gives the fix in a few words — and pointedly does NOT score the draft or guess whether an AI wrote it. That restraint is the whole point: AI detectors guess; named patterns are evidence the reader can check. MIT-licensed, single focused skill, actively maintained by Peter Yang.

"AI detectors guess. Named patterns are evidence the user can check." — Peter Yang

Grade: A | Week of July 22, 2026 (W30) | View on GitHub

Previous picks: tonone, mnemos, databricks-pack, kobiton-automate, skyvern, code-cleanup, web-analytics, token-optimizer, executive-assistant-skills, skill-creator, cursor-pack, crypto-portfolio-tracker. See all at tonsofskills.com.

<!-- KILLER-SKILL:END --> <!-- SCALE:START — do not edit; run `node scripts/generate-readme-toc.mjs` -->

Scale, labeled

Every number below names the cohort it counts and the command that reproduces it — an unlabeled count is how a corpus ends up with five contradictory answers to "how many skills."

CountCohortReproduce with
471catalog plugins (catalog-entry cohort)node scripts/generate-readme-toc.mjs over marketplace.extended.json
3,114marketplace-visible skills (distinct)node -e "import('./scripts/corpus-resolver.mjs').then(m=>console.log(m.resolveCorpus('marketplace-visible').length))"
347agent definitions in pluginsgit ls-files 'plugins/**' | grep '/agents/.*\.md'
19plugin categoriesls -d plugins/*/
<!-- SCALE:END --> <!-- NPM-STATS:START — do not edit; daily cron updates this -->

📦 Live npm Downloads

Across 396 published packages in the claude-code-plugins namespace. Updated daily by GitHub Actions.

WindowAll packagesEstablished (>30d)
Last 24 hours962962
Last 7 days2,9202,916
Last 30 days12,86812,779

<sub>"Established" excludes packages first published within the last 30 days, so a bulk-publish event doesn't dominate the headline.</sub>

Top 10 by last 30 days:

#PackageLast 30d
1@intentsolutionsio/openrouter-pack556
2@intentsolutionsio/groq-pack496
3@intentsolutionsio/databricks-pack274
4@intentsolutionsio/clickhouse-pack273
5@intentsolutionsio/wallet-security-auditor263
6@intentsolutionsio/notion-pack258
7@intentsolutionsio/elevenlabs-pack244
8@intentsolutionsio/freshie-inventory-manager214
9@intentsolutionsio/supabase-pack210
10@intentsolutionsio/agency-os204

<sub>Last refreshed 2026-08-19T03:03:05.709Z.</sub>

<!-- NPM-STATS:END -->

Ways in

Five real questions, five doors — each resolves to a live, generated surface, never a hand-maintained list:

<!-- AUTO-TOC:START — do not edit; run `node scripts/generate-readme-toc.mjs` -->

Browse by category

The 19 categories below link into the live marketplace. Plugin counts are the catalog-entry cohort — regenerated from marketplace.extended.json by this generator; the catalog itself lives on tonsofskills.com, never in this file (§ 6A of the platform blueprint).

CategoryPlugins
🤖AI & Machine Learning36
🎭AI Agents & Agency10
🔌API Development26
💼Business Tools22
👥Community24
₿Crypto & Web327
💾Database26
🎨Design9
🔧DevOps & Infrastructure36
📚Examples & Templates5
🧩MCP Servers16
📦Packages5
⚡Performance25
✅Productivity32
🎁SaaS Skill Packs107
🔐Security27
✨Skill Enhancers9
🧪Testing28
📁Analytics1
<!-- AUTO-TOC:END -->

What the classes mean

Four artifact classes live in this repository, distinguished on sight and never blurred — provenance is a truth requirement here, not a UX nicety:

ClassWhat it isHow the reader can tell
Canonical skillFirst-party, harness-free, the source of truthNo .source.json in its plugin directory
Generated adapterA thin, machine-produced harness projectionLives under a generated path with a "generated — do not edit" header
First-party packageAn Intent Solutions distribution (npm, cowork zip)@intentsolutionsio scope, IS-authored license
Upstream mirrorSo

…

View source on GitHub

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