Agent skill

Hyperparameter Tuner

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Manage hyperparameter tuner operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

MITAuto-check passedData & Analytics

Install Hyperparameter Tuner

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill hyperparameter-tuner -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace hyperparameter-tuner --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/07-ml-training/hyperparameter-tuner .claude/skills/hyperparameter-tuner && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hyperparameter-tuner
GitHub stars
2.8k
Token cost
~570 tokens
SKILL.md length
191 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Manage hyperparameter tuner operations. An agent skill from jeremylongshore/tons-of-skills-marketplace.

  • Works in 4 steps: Provides step-by-step guidance for… → Follows industry best practices and… → Generates production-ready code and… → …
  • : hyperparameter tuner
  • SKILL.md covers Overview, When to Use, Instructions and Examples, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hyperparameter Tuner is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage hyperparameter tuner operations. Auto-activating skill for ML Training. Triggers on: hyperparameter tuner, hyperparameter tuner Part of the ML Training skill category. Use when working with hyperparameter tuner functionality. Trigger with phrases like "hyperparameter tuner", "hyperparameter tuner", "hyperparameter".

Its SKILL.md is about 570 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code

It sits in Data & Analytics. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • : hyperparameter tuner
  • Hyperparameter tuner Part of the ML Training skill category
  • Working with hyperparameter tuner functionality
  • With phrases like hyperparameter tuner

Example prompts

  • “hyperparameter tuner”
  • “hyperparameter”
  • “/hyperparameter-tuner”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(python:*), Bash(pip:*)

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Provides step-by-step guidance for hyperparameter tuner
  2. Follows industry best practices and patterns
  3. Generates production-ready code and configurations
  4. Validates outputs against common standards

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

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

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Hyperparameter Tuner loads about 570 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 191 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~570

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 191 words, ~570 tokens.

Download SKILL.mdSave it as .claude/skills/hyperparameter-tuner/SKILL.md (or your agent's skills folder).
name
hyperparameter-tuner
description
Manage hyperparameter tuner operations. Auto-activating skill for ML Training. Triggers on: hyperparameter tuner, hyperparameter tuner Part of the ML Training skill category. Use when working with hyperparameter tuner functionality. Trigger with phrases like "hyperparameter tuner", "hyperparameter tuner", "hyperparameter".
allowed-tools
Read, Write, Edit, Bash(python:*), Bash(pip:*)
compatibility
Designed for Claude Code
version
1.0.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
ai, machine-learning

Hyperparameter Tuner

Overview

This skill provides automated assistance for hyperparameter tuner tasks within the ML Training domain.

When to Use

This skill activates automatically when you:

  • Mention "hyperparameter tuner" in your request
  • Ask about hyperparameter tuner 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 hyperparameter tuner
  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 hyperparameter tuner" 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

ErrorCauseSolution
Configuration invalidMissing required fieldsCheck documentation for required parameters
Tool not foundDependency not installedInstall required tools per prerequisites
Permission deniedInsufficient accessVerify credentials and permissions

Resources

  • Official documentation for related tools
  • Best practices guides
  • Community examples and tutorials

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

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/07-ml-training/hyperparameter-tuner of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Hyperparameter Tuner next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hyperparameter Tuner compared with similar skills
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Scikit LearnzLanqing/codex-claude-academic-skills4.7k16 repos~3.9kAutomated safety check: PassBSD-3-Clause
Chart Visualizationbytedance/deer-flow84k1 repos~840Automated safety check: PassMIT
TimesFM Forecastinggoogle-research/timesfm34k—~4.7kAutomated safety check: PassApache-2.0

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Questions about Hyperparameter Tuner

What does Hyperparameter Tuner do?

Manage hyperparameter tuner operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. Hyperparameter Tuner is an agent skill from jeremylongshore/tons-of-skills-marketplace. Manage hyperparameter tuner operations.

When should I use Hyperparameter Tuner?

Hyperparameter Tuner fits situations like: : hyperparameter tuner; hyperparameter tuner Part of the ML Training skill category; working with hyperparameter tuner functionality; with phrases like hyperparameter tuner.

How do I install Hyperparameter Tuner in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill hyperparameter-tuner -a claude-code`. Or copy the skill folder (skills/07-ml-training/hyperparameter-tuner in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/hyperparameter-tuner in your project. Claude Code loads it when a task matches its description.

How do I install Hyperparameter Tuner in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill hyperparameter-tuner -a codex`. Or copy the skill folder (skills/07-ml-training/hyperparameter-tuner in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/hyperparameter-tuner in your project. Codex loads it when a task matches its description.

Can I use Hyperparameter Tuner in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill hyperparameter-tuner -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hyperparameter-tuner, .gemini/skills/hyperparameter-tuner, .github/skills/hyperparameter-tuner and .opencode/skills/hyperparameter-tuner in your project.

What does Hyperparameter Tuner need to run?

SKILL.md names no scripts, command-line tools or credentials: Hyperparameter Tuner is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(python:*), Bash(pip:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Hyperparameter Tuner access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hyperparameter Tuner safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hyperparameter Tuner use?

Hyperparameter Tuner is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hyperparameter Tuner use?

About 570 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hyperparameter Tuner?

Skills that share tags, products or a category with Hyperparameter Tuner: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars) and Chart Visualization (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hyperparameter Tuner?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.