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Fine Tuning Expert

Checked
jeffallan·vlatest·ai-ml·MIT

This "Fine Tuning Expert" skill helps optimize AI models by suggesting targeted adjustments for improved performance and accuracy across specific tasks.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeffallan/claude-skills --skill fine-tuning-expert -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeffallan

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jeffallan/claude-skills at 1be15d8064.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
1be15d8064
Manifest
skills/fine-tuning-expert/SKILL.md
Scanned
6 files, 2,783 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill provides expert guidance and assistance with fine-tuning large language models. It can help users understand the process, select appropriate datasets, configure training parameters, and troubleshoot common issues encountered during fine-tuning. The goal is to improve model performance on specific tasks or domains through targeted adjustments.

When to use it

  • You're looking for advice on choosing a suitable dataset for fine-tuning a language model.
  • You need help understanding the impact of different hyperparameters (e.g., learning rate, batch size) on your fine-tuning results.
  • You’re experiencing unexpected behavior or errors during the fine-tuning process and require debugging assistance.
  • You want to optimize your fine-tuning workflow for efficiency and effectiveness.

Key capabilities

  • Dataset selection guidance
  • Hyperparameter optimization advice
  • Troubleshooting support
  • Workflow optimization suggestions

Example prompts

  • "I'm trying to fine-tune a model for sentiment analysis. What kind of dataset would you recommend?"
  • “What’s the best learning rate to use when fine-tuning a large language model on a small dataset?”
  • "My fine-tuning job is crashing with an out-of-memory error. Can you help me troubleshoot this?"

Tips & gotchas

The effectiveness of this skill depends on your existing knowledge of machine learning and fine-tuning concepts. While it provides guidance, practical experience in these areas will enhance the results.