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, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.
LQF_Machine_Learning_Expert_Guide includes worked examples; pricing or quota commentary; 14 code blocks for direct copy-paste. At roughly 4,298 words the SKILL.md is on the longer end of the catalog distribution.
Original author
foryourhealth111-pixel
Indexed lastmod
Catalog position
Science & Research · math-stats
Indexed related skills
10
How LQF_Machine_Learning_Expert_Guide fits the catalog
LQF_Machine_Learning_Expert_Guide sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.
These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.
What this skill does
LQF_Machine_Learning_Expert_Guide is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/lqf-machine-learning-expert-guide/ and loads when your prompt matches the skill's trigger.
Who uses this skill
The LQF_Machine_Learning_Expert_Guide Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 153,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
Or just download SKILL.md directly and drop it into ~/.claude/skills/lqf-machine-learning-expert-guide/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/lqf-machine-learning-expert-guide/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\lqf-machine-learning-expert-guide\SKILL.md on Windows. See the full install guide for step-by-step instructions.
Telegram
📱 Install from your phone or desktop Telegram
Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →
Pro
One-click install via the desktop app
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
Pro
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
How do I install the LQF_Machine_Learning_Expert_Guide Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/lqf-machine-learning-expert-guide/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the LQF_Machine_Learning_Expert_Guide skill do?
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, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the LQF_Machine_Learning_Expert_Guide skill?
Use LQF_Machine_Learning_Expert_Guide when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use LQF_Machine_Learning_Expert_Guide" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the LQF_Machine_Learning_Expert_Guide skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. LQF_Machine_Learning_Expert_Guide is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.
@misc{lqf-machine-learning-expert-guide-2026,
author = {foryourhealth111-pixel},
title = {LQF_Machine_Learning_Expert_Guide [Claude Code skill]},
year = {2026},
publisher = {ClaudSkills},
url = {https://claudskills.com/skills/lqf-machine-learning-expert-guide/}
}
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Claude™ is a trademark of Anthropic PBC. ClaudSkills (also referred to as Claude Skills or Claude Code Skills Catalog) is an independent community-curated registry of SKILL.md files, not affiliated with, endorsed by, or sponsored by Anthropic.
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