Verified Data Analysis with pandas
pipeshub-ai/pipeshub-ai
Loads, cleans, aggregates and joins tabular data with pandas under a verification rule: every number reported must be one that the code actually printed.
Transform, clean, reshape, and preprocess data using pandas and numpy.
Install Data Transform
$ npx skills add Microck/ordinary-claude-skills --skill data-transform -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Microck/ordinary-claude-skills data-transform --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/Microck/ordinary-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills_all/data-transform .claude/skills/data-transform && 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 "data-transform" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-transform into .claude/skills/data-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-transform", 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/Microck/ordinary-claude-skills/tree/main/skills_all/data-transformType 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 Microck/ordinary-claude-skills --skill data-transform -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Microck/ordinary-claude-skills data-transform --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills_all/data-transform .agents/skills/data-transform && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "data-transform" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-transform into .agents/skills/data-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-transform", 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 Microck/ordinary-claude-skills --skill data-transform -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Microck/ordinary-claude-skills data-transform --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills_all/data-transform .cursor/skills/data-transform && 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 "data-transform" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-transform into .cursor/skills/data-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-transform", 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/Microck/ordinary-claude-skills.git --path skills_all/data-transform--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 Microck/ordinary-claude-skills --skill data-transform -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Microck/ordinary-claude-skills data-transform --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills_all/data-transform .gemini/skills/data-transform && 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 "data-transform" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-transform into .gemini/skills/data-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-transform", 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 Microck/ordinary-claude-skills data-transformInstalls 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 Microck/ordinary-claude-skills --skill data-transform -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills_all/data-transform .github/skills/data-transform && 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 "data-transform" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-transform into .github/skills/data-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-transform", 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 Microck/ordinary-claude-skills --skill data-transform -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Microck/ordinary-claude-skills data-transform --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Microck/ordinary-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills_all/data-transform .opencode/skills/data-transform && 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 "data-transform" agent skill from https://github.com/Microck/ordinary-claude-skills/tree/main/skills_all/data-transform into .opencode/skills/data-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-transform", 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
data-transform- GitHub stars
- 401
- Used in
- 3 other repos
- Token cost
- ~4.3k tokens
- SKILL.md length
- 425 words
- Files
- 2
- Skills in repo
- 97
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Transform, clean, reshape, and preprocess data using pandas and numpy.
- Works in 6 steps: Import Required Libraries → Data Cleaning → Normalization and Scaling → …
- Tasks that involve Data cleaning
- SKILL.md covers Overview, When to Use This Skill, How to Use and Advanced Features, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Transform is an agent skill from Microck/ordinary-claude-skills. Transform, clean, reshape, and preprocess data using pandas and numpy. Works with ANY LLM provider (GPT, Gemini, Claude, etc.).
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).
It sits in Data & Analytics, covering Data cleaning and DataFrames. It works with NumPy and pandas. The repository describes itself as: An unappealing collection of Claude Skills and resources.
When your agent uses it
- Tasks that involve Data cleaning
- Tasks that involve DataFrames
Example prompts
- “/data-transform”
Requirements
- Python 3
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- Import Required Libraries
- Data Cleaning
- Normalization and Scaling
- Data Reshaping
- Filtering and Subsetting
- Merging and Joining Datasets
What it can do on your machine
Read from SKILL.md and the folder at commit 1056d29. 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
Links to these hosts (documentation or services it may open):
pandas.pydata.orgscikit-learn.org
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
Data Transform loads about 4.3k tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 425 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 425 words (~4,251 tokens).
“This skill enables you to perform comprehensive data transformations including cleaning, normalization, reshaping, filtering, and feature engineering. Unlike cloud-hosted solutions, this skill uses standard Python data manipulation libraries (pandas, numpy, sklearn) and executes locally in your environment, making it compatible…”
- name
- data-transform
- title
- Data Transformation (Universal)
Files
SKILL.md and 1 other file in skills_all/data-transform of Microck/ordinary-claude-skills.
- SKILL.md
- metadata.json
Open the folder on GitHubat commit 1056d29
Used in 3 other repositories
We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in Microck/ordinary-claude-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Data Transform 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 |
|---|---|---|---|---|---|---|
| Data Transform this skillMicrock/ordinary-claude-skills | 401 | 3 repos | ~4.3k | Automated safety check: Pass | Custom licence | |
| Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai | 3.8k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Vaex Out-of-Core DataFramesdavila7/claude-code-templates | 32k | 12 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Daskdavila7/claude-code-templates | 32k | 11 repos | ~3.5k | Automated safety check: Pass | MIT |
Similar skills
Python Executor
cortega26/chile-hub
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh).
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.
Vaex Out-of-Core DataFrames
davila7/claude-code-templates
Processes tabular datasets too large for RAM with Vaex: lazy DataFrames, fast aggregations, big-data plots and ML pipelines over CSV, HDF5, Arrow and Parquet.
Dask
davila7/claude-code-templates
Parallel/distributed computing. An agent skill from davila7/claude-code-templates.
Dask
K-Dense-AI/scientific-agent-skills
Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask.
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Related
Categories
Questions about Data Transform
What does Data Transform do?
Transform, clean, reshape, and preprocess data using pandas and numpy. Data Transform is an agent skill from Microck/ordinary-claude-skills. Transform, clean, reshape, and preprocess data using pandas and numpy.
When should I use Data Transform?
Data Transform fits situations like: tasks that involve Data cleaning; tasks that involve DataFrames.
How do I install Data Transform in Claude Code?
Run `npx skills add Microck/ordinary-claude-skills --skill data-transform -a claude-code`. Or copy the skill folder (skills_all/data-transform in Microck/ordinary-claude-skills) into .claude/skills/data-transform in your project. Claude Code loads it when a task matches its description.
How do I install Data Transform in Codex?
Run `npx skills add Microck/ordinary-claude-skills --skill data-transform -a codex`. Or copy the skill folder (skills_all/data-transform in Microck/ordinary-claude-skills) into .agents/skills/data-transform in your project. Codex loads it when a task matches its description.
Can I use Data Transform 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 Microck/ordinary-claude-skills --skill data-transform -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/data-transform, .gemini/skills/data-transform, .github/skills/data-transform and .opencode/skills/data-transform in your project.
What does Data Transform need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Transform is instructions for the agent only. Our summary lists: Python 3.
Does Data Transform access the network?
SKILL.md names 2 domains. As links in the text: pandas.pydata.org and scikit-learn.org. This is read from the text; nothing was executed.
Is Data Transform 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 Data Transform use?
Data Transform 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 Data Transform use?
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Data Transform?
Skills that share tags, products or a category with Data Transform: Verified Data Analysis with pandas (pipeshub-ai/pipeshub-ai, 3.8k stars), Python Executor (cortega26/chile-hub, 113 stars), Pandas Pro (Jeffallan/claude-skills, 12k stars) and Vaex Out-of-Core DataFrames (davila7/claude-code-templates, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Data Transform?
Microck (a GitHub user) maintains it in Microck/ordinary-claude-skills, which has 401 GitHub stars. The repository holds 97 skills in this directory. The repository was last updated on September 6, 2026.
Source: Microck/ordinary-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.