Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Machine learning development patterns, model training, evaluation, and deployment.
Install Machine Learning
$ npx skills add aiskillstore/marketplace --skill machine-learning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace machine-learning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/89jobrien/machine-learning .claude/skills/machine-learning && rm -rf skills-srcUse ~/.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/
Install the "machine-learning" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learning into .claude/skills/machine-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add aiskillstore/marketplace --skill machine-learning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace machine-learning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/89jobrien/machine-learning .agents/skills/machine-learning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "machine-learning" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learning into .agents/skills/machine-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill machine-learning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace machine-learning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/89jobrien/machine-learning .cursor/skills/machine-learning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "machine-learning" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learning into .cursor/skills/machine-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/aiskillstore/marketplace.git --path skills/89jobrien/machine-learning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add aiskillstore/marketplace --skill machine-learning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace machine-learning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/89jobrien/machine-learning .gemini/skills/machine-learning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "machine-learning" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learning into .gemini/skills/machine-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install aiskillstore/marketplace machine-learningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add aiskillstore/marketplace --skill machine-learning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/89jobrien/machine-learning .github/skills/machine-learning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "machine-learning" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learning into .github/skills/machine-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add aiskillstore/marketplace --skill machine-learning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace machine-learning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/89jobrien/machine-learning .opencode/skills/machine-learning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "machine-learning" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/89jobrien/machine-learning into .opencode/skills/machine-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "machine-learning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
machine-learning- GitHub stars
- 430
- Used in
- 1 other repo
- Token cost
- ~1.6k tokens
- SKILL.md length
- 591 words
- Files
- 3 (incl. references)
- Skills in repo
- 1,085
- Repo updated
- First seen
- Licence
- None found
At a glance
Machine learning development patterns, model training, evaluation, and deployment.
- Works in 7 steps: Problem Definition → Data Preparation → Model Selection → …
- Building ML pipelines
- SKILL.md covers When to Use This Skill, ML Development Lifecycle, MLOps Best Practices and Reference Files, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Machine Learning is an agent skill from aiskillstore/marketplace. Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/preprocessing.md` and `skill-report.json`).
It sits in Data & Analytics, covering Machine learning. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- Building ML pipelines
- Training models
- Feature engineering
- Model evaluation
Example prompts
- “/machine-learning”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Problem Definition
- Data Preparation
- Model Selection
- Model Training
- Model Evaluation
- Production Deployment
- Monitoring & Maintenance
What it can do on your machine
Read from SKILL.md and the folder at commit 4ac52da. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
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.
Context cost
Machine Learning loads about 1.6k tokens when it runs, and up to ~2.4k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 591 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 591 words (~1,560 tokens).
“Comprehensive machine learning skill covering the full ML lifecycle from experimentation to production deployment.”
- name
- machine-learning
- author
- Joseph OBrien
- status
- unpublished
- updated
- 2025-12-23
- version
- 1.0.1
- tag
- skill
- type
- skill
Files
SKILL.md and 2 other files (references) in skills/89jobrien/machine-learning of aiskillstore/marketplace.
- SKILL.md
- references/preprocessing.md
- skill-report.json
Open the folder on GitHubat commit 4ac52da
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aiskillstore/marketplace, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Machine Learning 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Machine Learning this skillaiskillstore/marketplace | 430 | 1 repos | ~1.6k | Automated safety check: Pass | None | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.6k | 17 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 6 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Retention Analysisliangdabiao/claude-data-analysis-ultra-main | 290 | 1 repos | ~1.3k | Automated safety check: Notes | None | |
| Geomlitalo-goncalves/geoML | 108 | — | ~4.2k | Automated safety check: Pass | GPL-3.0 |
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Related
Categories
Questions about Machine Learning
What does Machine Learning do?
Machine learning development patterns, model training, evaluation, and deployment. Machine Learning is an agent skill from aiskillstore/marketplace. Machine learning development patterns, model training, evaluation, and deployment.
When should I use Machine Learning?
Machine Learning fits situations like: building ML pipelines; training models; feature engineering; model evaluation.
How do I install Machine Learning in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill machine-learning -a claude-code`. Or copy the skill folder (skills/89jobrien/machine-learning in aiskillstore/marketplace) into .claude/skills/machine-learning in your project. Claude Code loads it when a task matches its description.
How do I install Machine Learning in Codex?
Run `npx skills add aiskillstore/marketplace --skill machine-learning -a codex`. Or copy the skill folder (skills/89jobrien/machine-learning in aiskillstore/marketplace) into .agents/skills/machine-learning in your project. Codex loads it when a task matches its description.
Can I use Machine Learning 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 aiskillstore/marketplace --skill machine-learning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/machine-learning, .gemini/skills/machine-learning, .github/skills/machine-learning and .opencode/skills/machine-learning in your project.
What does Machine Learning need to run?
SKILL.md names no scripts, command-line tools or credentials: Machine Learning is instructions for the agent only.
Does Machine Learning 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 Machine Learning 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 Machine Learning use?
No licence was found for Machine Learning or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Machine Learning use?
About 1.6k tokens (SKILL.md is roughly 6.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 883 tokens, read only when the agent opens those files.
What are the alternatives to Machine Learning?
Skills that share tags, products or a category with Machine Learning: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars) and Retention Analysis (liangdabiao/claude-data-analysis-ultra-main, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Machine Learning?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,085 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.