Scikit Learn
zLanqing/codex-claude-academic-skills
Machine learning in Python with scikit-learn. An agent skill from zLanqing/codex-claude-academic-skills.
Agent skill
Preprocessing Data With Automated Pipelines
by foryourhealth111-pixel in foryourhealth111-pixel/Vibe-Skills
Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
Install Preprocessing Data With Automated Pipelines
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills preprocessing-data-with-automated-pipelines --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/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/bundled/skills/preprocessing-data-with-automated-pipelines .claude/skills/preprocessing-data-with-automated-pipelines && 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 "preprocessing-data-with-automated-pipelines" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelines into .claude/skills/preprocessing-data-with-automated-pipelines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprocessing-data-with-automated-pipelines", 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/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelinesType 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 foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills preprocessing-data-with-automated-pipelines --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/bundled/skills/preprocessing-data-with-automated-pipelines .agents/skills/preprocessing-data-with-automated-pipelines && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "preprocessing-data-with-automated-pipelines" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelines into .agents/skills/preprocessing-data-with-automated-pipelines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprocessing-data-with-automated-pipelines", 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 foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills preprocessing-data-with-automated-pipelines --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/bundled/skills/preprocessing-data-with-automated-pipelines .cursor/skills/preprocessing-data-with-automated-pipelines && 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 "preprocessing-data-with-automated-pipelines" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelines into .cursor/skills/preprocessing-data-with-automated-pipelines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprocessing-data-with-automated-pipelines", 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/foryourhealth111-pixel/Vibe-Skills.git --path bundled/skills/preprocessing-data-with-automated-pipelines--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 foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills preprocessing-data-with-automated-pipelines --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/bundled/skills/preprocessing-data-with-automated-pipelines .gemini/skills/preprocessing-data-with-automated-pipelines && 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 "preprocessing-data-with-automated-pipelines" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelines into .gemini/skills/preprocessing-data-with-automated-pipelines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprocessing-data-with-automated-pipelines", 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 foryourhealth111-pixel/Vibe-Skills preprocessing-data-with-automated-pipelinesInstalls 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 foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/bundled/skills/preprocessing-data-with-automated-pipelines .github/skills/preprocessing-data-with-automated-pipelines && 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 "preprocessing-data-with-automated-pipelines" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelines into .github/skills/preprocessing-data-with-automated-pipelines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprocessing-data-with-automated-pipelines", 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 foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills preprocessing-data-with-automated-pipelines --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/bundled/skills/preprocessing-data-with-automated-pipelines .opencode/skills/preprocessing-data-with-automated-pipelines && 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 "preprocessing-data-with-automated-pipelines" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/preprocessing-data-with-automated-pipelines into .opencode/skills/preprocessing-data-with-automated-pipelines/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "preprocessing-data-with-automated-pipelines", 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
preprocessing-data-with-automated-pipelines- GitHub stars
- 3.6k
- Token cost
- ~374 tokens
- SKILL.md length
- 136 words
- Files
- 9 (incl. scripts, references, assets)
- Skills in repo
- 81
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
- Tasks that involve Machine learning
- SKILL.md covers Positioning, When to Use, Not For / Boundaries and Typical Outputs, plus 1 more section
- Runs Python scripts from its folder
What it does
Preprocessing Data With Automated Pipelines is an agent skill from foryourhealth111-pixel/Vibe-Skills. Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts, reference files and assets (for example `assets/README.md`, `references/README.md` and `scripts/README.md`).
It sits in Data & Analytics, covering Machine learning. The repository describes itself as: Intelligent Skill routing and workflow orchestration for AI agents — +21.12 pp reward, −29.6% tokens on SkillsBench with DeepSeekV4Flash-VE. The licence is MIT.
When your agent uses it
- Tasks that involve Machine learning
Example prompts
- “/preprocessing-data-with-automated-pipelines”
Requirements
- Python 3
- Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(cmd:*)
What it can do on your machine
Read from SKILL.md and the folder at commit ddcaa2a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditGrepGlobBash(cmd:*)
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 5 files in scripts/ (Python), which the agent can run.
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
Preprocessing Data With Automated Pipelines loads about 374 tokens when it runs, and up to ~484 if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 136 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); the scripts in this folder are not scanned.
SKILL.md
The full file from foryourhealth111-pixel/Vibe-Skills at commit ddcaa2a, republished under its MIT licence (© foryourhealth111-pixel). 136 words, ~374 tokens.
Download SKILL.mdSave it as
.claude/skills/preprocessing-data-with-automated-pipelines/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- preprocessing-data-with-automated-pipelines
- description
- Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
- allowed-tools
- Read, Write, Edit, Grep, Glob, Bash(cmd:*)
- version
- 1.0.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
Data Preprocessing Pipeline
Positioning
Use this skill as the direct owner for ML input-preparation pipelines.
It covers preprocessing-heavy tasks where the requested deliverable is a repeatable pipeline for cleaning, encoding, transforming, and validating input data.
When to Use
Use this skill when:
- Prepare raw data for machine learning models.
- Automate data cleaning and transformation processes.
- Implement a robust ETL (Extract, Transform, Load) pipeline.
Not For / Boundaries
- Whole-task ML ownership: use
scikit-learnorml-pipeline-workflow - Leakage and prediction-time auditing: use
ml-data-leakage-guard - Grouped scientific preprocessing with stronger methodological constraints: use
scientific-data-preprocessing
Typical Outputs
- A preprocessing pipeline plan or implementation sketch
- Clear sequencing for clean, encode, transform, and validate steps
- Notes that identify where leakage review, training, or evaluation should be run next
Related Skills
ml-data-leakage-guardbefore trusting fitted preprocessing stepssplitting-datasetswhen the next narrow problem is partition strategy
© foryourhealth111-pixel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts, references, assets) in bundled/skills/preprocessing-data-with-automated-pipelines of foryourhealth111-pixel/Vibe-Skills.
- SKILL.md
- assets/README.md
- assets/example_data.csv
- references/README.md
- scripts/README.md
- scripts/handle_errors.py
- scripts/pipeline.py
- scripts/transform_data.py
- scripts/validate_data.py
Open the folder on GitHubat commit ddcaa2a
Compare with similar skills
Preprocessing Data With Automated Pipelines 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 |
|---|---|---|---|---|---|---|
| Preprocessing Data With Automated Pipelines this skillforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~374 | Automated safety check: Pass | MIT | |
| Scikit LearnzLanqing/codex-claude-academic-skills | 4.7k | 16 repos | ~3.9k | Automated safety check: Pass | BSD-3-Clause | |
| Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill | 188 | — | ~4k | Automated safety check: Pass | MIT | |
| Senior Data ScientistRaidriar7170/hermes-skilleval | 125 | 5 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Geomlitalo-goncalves/geoML | 109 | — | ~4.9k | Automated safety check: Pass | GPL-3.0 | |
| QuantMind Training Config Generatorqusong0627/QuantMind | 1.7k | — | ~1.5k | Automated safety check: Pass | AGPL-3.0 |
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Related
Categories
Questions about Preprocessing Data With Automated Pipelines
What does Preprocessing Data With Automated Pipelines do?
Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data. Preprocessing Data With Automated Pipelines is an agent skill from foryourhealth111-pixel/Vibe-Skills. Design and implement repeatable preprocessing pipelines for cleaning, encoding, transforming, and validating ML input data.
When should I use Preprocessing Data With Automated Pipelines?
Preprocessing Data With Automated Pipelines fits situations like: tasks that involve Machine learning.
How do I install Preprocessing Data With Automated Pipelines in Claude Code?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a claude-code`. Or copy the skill folder (bundled/skills/preprocessing-data-with-automated-pipelines in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/preprocessing-data-with-automated-pipelines in your project. Claude Code loads it when a task matches its description.
How do I install Preprocessing Data With Automated Pipelines in Codex?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a codex`. Or copy the skill folder (bundled/skills/preprocessing-data-with-automated-pipelines in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/preprocessing-data-with-automated-pipelines in your project. Codex loads it when a task matches its description.
Can I use Preprocessing Data With Automated Pipelines 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 foryourhealth111-pixel/Vibe-Skills --skill preprocessing-data-with-automated-pipelines -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/preprocessing-data-with-automated-pipelines, .gemini/skills/preprocessing-data-with-automated-pipelines, .github/skills/preprocessing-data-with-automated-pipelines and .opencode/skills/preprocessing-data-with-automated-pipelines in your project.
What does Preprocessing Data With Automated Pipelines need to run?
Going by SKILL.md and its folder, Preprocessing Data With Automated Pipelines needs Python for the scripts in its folder. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*).
Does Preprocessing Data With Automated Pipelines 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 Preprocessing Data With Automated Pipelines 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Preprocessing Data With Automated Pipelines use?
Preprocessing Data With Automated Pipelines is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Preprocessing Data With Automated Pipelines use?
About 374 tokens (SKILL.md is roughly 1.5k 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 110 tokens, read only when the agent opens those files.
What are the alternatives to Preprocessing Data With Automated Pipelines?
Skills that share tags, products or a category with Preprocessing Data With Automated Pipelines: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Geoml (italo-goncalves/geoML, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Preprocessing Data With Automated Pipelines?
foryourhealth111-pixel (a GitHub user) maintains it in foryourhealth111-pixel/Vibe-Skills, which has 3,627 GitHub stars. The repository holds 81 skills in this directory. The repository was last updated on August 31, 2026.
Source: foryourhealth111-pixel/Vibe-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.