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: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.
Install Scikit Learn
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills scikit-learn --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn .claude/skills/scikit-learn && 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 "scikit-learn" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn into .claude/skills/scikit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scikit-learn", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learnType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills scikit-learn --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn .agents/skills/scikit-learn && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scikit-learn" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn into .agents/skills/scikit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scikit-learn", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills scikit-learn --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn .cursor/skills/scikit-learn && 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 "scikit-learn" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn into .cursor/skills/scikit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scikit-learn", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills scikit-learn --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn .gemini/skills/scikit-learn && 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 "scikit-learn" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn into .gemini/skills/scikit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scikit-learn", 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 brycewang-stanford/Auto-Empirical-Research-Skills scikit-learnInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn .github/skills/scikit-learn && 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 "scikit-learn" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn into .github/skills/scikit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scikit-learn", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills scikit-learn --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn .opencode/skills/scikit-learn && 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 "scikit-learn" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn into .opencode/skills/scikit-learn/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scikit-learn", 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
scikit-learn- GitHub stars
- 4.5k
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,169 words
- Files
- 15 (incl. references)
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.
- Works in 7 steps: New to scikit-learn? Start with… → Clustering task? Read clustering.md,… → Classification task? Read… → …
- Tasks that involve Machine learning
- SKILL.md covers What is scikit-learn?, Version Notes, How to Use This Skill and Related Skills, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Scikit Learn is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. For unsupervised analysis, classification, or prediction. For econometric regression use pyfixest/statsmodels.
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including reference files (for example `references/classification.md`, `references/clustering.md` and `references/decomposition.md`).
It sits in Data & Analytics, covering Machine learning. It works with scikit-learn, statsmodels, UMAP and Python. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- Tasks that involve Machine learning
Example prompts
- “/scikit-learn”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- New to scikit-learn? Start with quickstart.md then the task-specific reference
- Clustering task? Read clustering.md, then evaluation-unsupervised.md
- Classification task? Read classification.md, then evaluation-supervised.md
- Need preprocessing? Read preprocessing.md (covers Pipeline construction)
- Having issues? Check gotchas.md first
- Interpretation task? Read interpretation.md, then check supervised-ml.md in data-scientist skill for methodology
- Fairness assessment? Read fairness.md, then check supervised-ml.md in data-scientist skill for conceptual framework
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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 (its code samples are python).
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
Scikit Learn loads about 4.6k tokens when it runs, and up to ~35k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 1,169 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,169 words (~4,607 tokens).
“General-purpose machine learning with scikit-learn. Covers unsupervised methods (clustering, GMM, PCA, t-SNE, UMAP, manifold learning, evaluation metrics), supervised methods (classification, prediction-focused regression via Ridge/Lasso/ensemble methods, model evaluation, cross-validation), and shared infrastructure (preprocessing, Pipeline construction, feature selection). Use when performing cluster…”
- name
- scikit-learn
- metadata.audience
- research-coders
- metadata.domain
- python-library
- metadata.library-version
- 1.8.0
- metadata.skill-last-updated
- 2026-03-28
Files
SKILL.md and 14 other files (references) in skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/classification.md
- references/clustering.md
- references/decomposition.md
- references/evaluation-supervised.md
- references/evaluation-unsupervised.md
- references/fairness.md
- references/feature-selection.md
- references/gotchas.md
- references/interpretation.md
- references/manifold.md
- references/mixture-models.md
- references/preprocessing.md
- references/quickstart.md
- references/regression-ml.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Scikit Learn 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 |
|---|---|---|---|---|---|---|
| Scikit Learn this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~4.6k | Automated safety check: Pass | Custom licence | |
| 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 | |
| Statistical Data Analysislingzhi227/agent-research-skills | 384 | — | ~886 | Automated safety check: Pass | None | |
| Time Series Analytics Useropen-edge-platform/edge-ai-libraries | 169 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Cuml Machine Learningwahyudesu/Fastapi-AI-Production-Template | 114 | — | ~1.8k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Scikit Learn
What does Scikit Learn do?
Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. Scikit Learn is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines.
When should I use Scikit Learn?
Scikit Learn fits situations like: tasks that involve Machine learning.
How do I install Scikit Learn in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a claude-code`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/scikit-learn in your project. Claude Code loads it when a task matches its description.
How do I install Scikit Learn in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a codex`. Or copy the skill folder (skills/17-DAAF-Contribution-Community-daaf/dot-claude/skills/scikit-learn in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/scikit-learn in your project. Codex loads it when a task matches its description.
Can I use Scikit Learn 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill scikit-learn -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scikit-learn, .gemini/skills/scikit-learn, .github/skills/scikit-learn and .opencode/skills/scikit-learn in your project.
What does Scikit Learn need to run?
SKILL.md names no scripts, command-line tools or credentials: Scikit Learn is instructions for the agent only. Our summary lists: Python 3.
Does Scikit Learn 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 Scikit Learn 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 Scikit Learn use?
Scikit Learn has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Scikit Learn use?
About 4.6k tokens (SKILL.md is roughly 18k 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 30k tokens, read only when the agent opens those files.
What are the alternatives to Scikit Learn?
Skills that share tags, products or a category with Scikit Learn: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 384 stars) and Time Series Analytics User (open-edge-platform/edge-ai-libraries, 169 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scikit Learn?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.