LQF_Machine_Learning_Expert_Guide SKILL.md skillA

LQF_Machine_Learning_Expert_Guide from foryourhealth111-pixel/vibe-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add foryourhealth111-pixel/vibe-skills/LQF_Machine_Learning_Expert_Guide@v2.0.0

Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
foryourhealth111-pixel/vibe-skills
Path
bundled/skills/LQF_Machine_Learning_Expert_Guide/SKILL.md
Versions recorded
2
Latest version
v2.0.0, committed Apr 18, 2026
First version recorded
Feb 26, 2026
Size
31,116 bytes
Repository stars
3,758
License
Apache-2.0

LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# LQF Machine Learning Expert Guide

## When to Use This Skill

Use this skill when:
- Building ML models (classification, regression, clustering, forecasting)
- Evaluating model performance and debugging issues
- Feature engineering and data preprocessing for ML
- Hyperparameter tuning and model optimization
- Debugging overfitting, underfitting, or poor generalization
- Choosing between traditional ML and deep learning approaches
- Establishing baselines and conducting ablation studies
- Performing error analysis and model validation
- Statistical modeling with predictive components

## Not For / Boundaries

**Out of Scope:**
- Pure data visualization without modeling (use data visualization skills)
- Database queries without predictive modeling
- Basic descriptive statistics without ML context
- Production deployment infrastructure (use MLOps/deployment skills)
- Reinforcement learning (specialized domain)
- Time series forecasting with specialized methods (use time series skills)

**Required Inputs - Ask User If Missing:**
1. What is the problem type? (classification, regression, clustering, etc.)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add foryourhealth111-pixel/vibe-skills/LQF_Machine_Learning_Expert_Guide@sha256:c37676f68c2e9358

The line at the top of this page pins the label v2.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5bpgnmi2n5zturkt.svg)](https://markdownregistry.com/a/art_5bpgnmi2n5zturkt)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Feb 26, 2026 and Apr 18, 2026, about one every 51 days.

versioncommittedcommitsizeaudit
v2.0.0 latest2026-04-18 11fb2de 31,116 BA view · diff
v2.0.02026-02-26 1632f40 31,125 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (31116 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

foryourhealth111-pixel/vibe-skills · 3,758 stars · license Apache-2.0 · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5bpgnmi2n5zturkt
GET https://markdownregistry.com/api/v1/resolve?ref=foryourhealth111-pixel/vibe-skills/LQF_Machine_Learning_Expert_Guide
GET https://markdownregistry.com/api/v1/blob/c37676f68c2e9358c11299f6d1f1d60d55d07978a68a60159f0cb8e80423f66a

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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