Question2report
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
Split datasets into training, validation, and test partitions with the right stratification and temporal rules.
Install Splitting Datasets
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill splitting-datasets -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills splitting-datasets --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/splitting-datasets .claude/skills/splitting-datasets && 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 "splitting-datasets" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/splitting-datasets into .claude/skills/splitting-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splitting-datasets", 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/splitting-datasetsType 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 splitting-datasets -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills splitting-datasets --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/splitting-datasets .agents/skills/splitting-datasets && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "splitting-datasets" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/splitting-datasets into .agents/skills/splitting-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splitting-datasets", 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 splitting-datasets -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills splitting-datasets --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/splitting-datasets .cursor/skills/splitting-datasets && 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 "splitting-datasets" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/splitting-datasets into .cursor/skills/splitting-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splitting-datasets", 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/splitting-datasets--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 splitting-datasets -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install foryourhealth111-pixel/Vibe-Skills splitting-datasets --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/splitting-datasets .gemini/skills/splitting-datasets && 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 "splitting-datasets" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/splitting-datasets into .gemini/skills/splitting-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splitting-datasets", 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 splitting-datasetsInstalls 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 splitting-datasets -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/splitting-datasets .github/skills/splitting-datasets && 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 "splitting-datasets" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/splitting-datasets into .github/skills/splitting-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splitting-datasets", 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 splitting-datasets -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 splitting-datasets --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/splitting-datasets .opencode/skills/splitting-datasets && 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 "splitting-datasets" agent skill from https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/main/bundled/skills/splitting-datasets into .opencode/skills/splitting-datasets/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "splitting-datasets", 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
splitting-datasets- GitHub stars
- 3.6k
- Token cost
- ~346 tokens
- SKILL.md length
- 110 words
- Files
- 8 (incl. scripts, references, assets)
- Skills in repo
- 81
- Repo updated
- First seen
- Licence
- MIT
At a glance
Split datasets into training, validation, and test partitions with the right stratification and temporal rules.
- Tasks that involve Data cleaning
- 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
Splitting Datasets is an agent skill from foryourhealth111-pixel/Vibe-Skills. Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/README.md`, `assets/dataset_schema.json` and `assets/split_data_config.yaml`).
It sits in Data & Analytics, covering Data cleaning. 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 Data cleaning
Example prompts
- “/splitting-datasets”
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 2 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
Splitting Datasets loads about 346 tokens when it runs, and up to ~478 if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 110 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). 110 words, ~346 tokens.
Download SKILL.mdSave it as
.claude/skills/splitting-datasets/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- splitting-datasets
- description
- Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Use as a narrow preprocessing helper once the broader ML workflow is already chosen, not as the main route owner for an end-to-end ML task.
- allowed-tools
- Read, Write, Edit, Grep, Glob, Bash(cmd:*)
- version
- 1.0.0
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
Dataset Splitter
Positioning
Treat this skill as a narrow helper for partition strategy.
When to Use
Use this skill when:
- Prepare a dataset for machine learning model training.
- Create training, validation, and testing sets.
- Partition data to evaluate model performance.
Not For / Boundaries
- Full preprocessing-pipeline ownership: use
preprocessing-data-with-automated-pipelines - Leakage audits and prediction-time checks: use
ml-data-leakage-guard - Model training and tuning after the split: use
scikit-learn
Typical Outputs
- Partition strategy with ratios, random seeds, and stratification rules
- Notes on temporal or grouped split constraints
- Handoff guidance for leakage review and downstream training
Related Skills
preprocessing-data-with-automated-pipelinesfor the broader preprocessing sequenceml-data-leakage-guardto verify the split does not leak future or test information
© 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 7 other files (scripts, references, assets) in bundled/skills/splitting-datasets of foryourhealth111-pixel/Vibe-Skills.
- SKILL.md
- assets/README.md
- assets/dataset_schema.json
- assets/example_dataset.csv
- assets/split_data_config.yaml
- references/README.md
- scripts/README.md
- scripts/split_data.py
Open the folder on GitHubat commit ddcaa2a
Compare with similar skills
Splitting Datasets 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 |
|---|---|---|---|---|---|---|
| Splitting Datasets this skillforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~346 | Automated safety check: Pass | MIT | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT |
Similar skills
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MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
Data Validation
platonai/Browser4
Validates data against common and custom rules (required fields, formats, ranges).
Pandas Pro
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
- Official
Issues Deduplication
JetBrains/ideavim
Handles deduplication of YouTrack issues. An agent skill from JetBrains/ideavim.
Openbb Data Fetcher
monarchjuno/vibe-investing
Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server.
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Related
Categories
Questions about Splitting Datasets
What does Splitting Datasets do?
Split datasets into training, validation, and test partitions with the right stratification and temporal rules. Splitting Datasets is an agent skill from foryourhealth111-pixel/Vibe-Skills. Split datasets into training, validation, and test partitions with the right stratification and temporal rules.
When should I use Splitting Datasets?
Splitting Datasets fits situations like: tasks that involve Data cleaning.
How do I install Splitting Datasets in Claude Code?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill splitting-datasets -a claude-code`. Or copy the skill folder (bundled/skills/splitting-datasets in foryourhealth111-pixel/Vibe-Skills) into .claude/skills/splitting-datasets in your project. Claude Code loads it when a task matches its description.
How do I install Splitting Datasets in Codex?
Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill splitting-datasets -a codex`. Or copy the skill folder (bundled/skills/splitting-datasets in foryourhealth111-pixel/Vibe-Skills) into .agents/skills/splitting-datasets in your project. Codex loads it when a task matches its description.
Can I use Splitting Datasets 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 splitting-datasets -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/splitting-datasets, .gemini/skills/splitting-datasets, .github/skills/splitting-datasets and .opencode/skills/splitting-datasets in your project.
What does Splitting Datasets need to run?
Going by SKILL.md and its folder, Splitting Datasets 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 Splitting Datasets 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 Splitting Datasets 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 Splitting Datasets use?
Splitting Datasets 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 Splitting Datasets use?
About 346 tokens (SKILL.md is roughly 1.4k 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 132 tokens, read only when the agent opens those files.
What are the alternatives to Splitting Datasets?
Skills that share tags, products or a category with Splitting Datasets: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Splitting Datasets?
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.