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.
Systematic dataset profiling protocol for empirical research.
Install Data Profiler
$ npx skills add aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aspi6246/Claude-Code-Skills-for-Academics data-profiler --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/aspi6246/Claude-Code-Skills-for-Academics.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data-profiler .claude/skills/data-profiler && 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-profiler" agent skill from https://github.com/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profiler into .claude/skills/data-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-profiler", 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/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profilerType 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 aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aspi6246/Claude-Code-Skills-for-Academics data-profiler --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aspi6246/Claude-Code-Skills-for-Academics.git skills-src && mkdir -p .agents/skills && cp -r skills-src/data-profiler .agents/skills/data-profiler && 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-profiler" agent skill from https://github.com/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profiler into .agents/skills/data-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-profiler", 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 aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aspi6246/Claude-Code-Skills-for-Academics data-profiler --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aspi6246/Claude-Code-Skills-for-Academics.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/data-profiler .cursor/skills/data-profiler && 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-profiler" agent skill from https://github.com/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profiler into .cursor/skills/data-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-profiler", 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/aspi6246/Claude-Code-Skills-for-Academics.git --path data-profiler--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 aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aspi6246/Claude-Code-Skills-for-Academics data-profiler --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aspi6246/Claude-Code-Skills-for-Academics.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/data-profiler .gemini/skills/data-profiler && 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-profiler" agent skill from https://github.com/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profiler into .gemini/skills/data-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-profiler", 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 aspi6246/Claude-Code-Skills-for-Academics data-profilerInstalls 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 aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aspi6246/Claude-Code-Skills-for-Academics.git skills-src && mkdir -p .github/skills && cp -r skills-src/data-profiler .github/skills/data-profiler && 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-profiler" agent skill from https://github.com/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profiler into .github/skills/data-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-profiler", 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 aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aspi6246/Claude-Code-Skills-for-Academics data-profiler --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aspi6246/Claude-Code-Skills-for-Academics.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/data-profiler .opencode/skills/data-profiler && 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-profiler" agent skill from https://github.com/aspi6246/Claude-Code-Skills-for-Academics/tree/main/data-profiler into .opencode/skills/data-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "data-profiler", 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-profiler- GitHub stars
- 157
- Token cost
- ~2k tokens
- SKILL.md length
- 628 words
- Files
- 2 (incl. references)
- Skills in repo
- 15
- Repo updated
- First seen
- Licence
- None found
At a glance
Systematic dataset profiling protocol for empirical research.
- Works in 5 steps: Structure Discovery → Unit of Observation → Variable Profiling → …
- The user has a new dataset and wants to understand it before analysis — including unit of observation
- SKILL.md covers Purpose, Critical Rules, Phase 1: Structure Discovery and Phase 2: Unit of Observation, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Data Profiler is an agent skill from aspi6246/Claude-Code-Skills-for-Academics. Systematic dataset profiling protocol for empirical research. Use this skill when the user has a new dataset and wants to understand it before analysis — including unit of observation, variable definitions, panel structure, data quality, and descriptive statistics. Trigger on phrases like "explore this data", "profile this dataset", "what's in this data", "understand this dataset", "describe this data", "what are the variables", "check the panel structure", or any request to examine a dataset before running…
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/profile-template.md`).
It sits in Data & Analytics, covering Performance optimization, Data cleaning and Statistics. The repository describes itself as: A collection of Skills for academics.
When your agent uses it
- The user has a new dataset and wants to understand it before analysis — including unit of observation
- Variable definitions
- Panel structure
- Descriptive statistics
Example prompts
- “explore this data”
- “profile this dataset”
- “s in this data”
- “/data-profiler”
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Structure Discovery
- Unit of Observation
- Variable Profiling
- Relationships and Red Flags
- Profile Document
What it can do on your machine
Read from SKILL.md and the folder at commit 8a8f112. 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 r).
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
Data Profiler loads about 2k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 628 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 628 words (~1,955 tokens).
“This skill implements a structured protocol for profiling a dataset before any analysis begins. The goal is to produce a dataset profile document that records your understanding of the data and becomes permanent reference material for the project.”
- name
- data-profiler
Files
SKILL.md and 1 other file (references) in data-profiler of aspi6246/Claude-Code-Skills-for-Academics.
- SKILL.md
- references/profile-template.md
Open the folder on GitHubat commit 8a8f112
Compare with similar skills
Data Profiler 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 Profiler this skillaspi6246/Claude-Code-Skills-for-Academics | 157 | — | ~2k | Automated safety check: Pass | None | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Code EngineeropenJiuwen-ai/sciencediscovery | 148 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Data Analysisxiaoyuge886/aigc | 198 | 1 repos | ~794 | Automated safety check: Pass | MIT | |
| Data Explorerliangdabiao/claude-data-analysis-ultra-main | 290 | — | ~2.1k | Automated safety check: Pass | None | |
| Profiling Tablesastronomer/agents | 450 | — | ~964 | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Data Profiler
What does Data Profiler do?
Systematic dataset profiling protocol for empirical research. Data Profiler is an agent skill from aspi6246/Claude-Code-Skills-for-Academics. Systematic dataset profiling protocol for empirical research.
When should I use Data Profiler?
Data Profiler fits situations like: the user has a new dataset and wants to understand it before analysis — including unit of observation; variable definitions; panel structure; descriptive statistics.
How do I install Data Profiler in Claude Code?
Run `npx skills add aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a claude-code`. Or copy the skill folder (data-profiler in aspi6246/Claude-Code-Skills-for-Academics) into .claude/skills/data-profiler in your project. Claude Code loads it when a task matches its description.
How do I install Data Profiler in Codex?
Run `npx skills add aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -a codex`. Or copy the skill folder (data-profiler in aspi6246/Claude-Code-Skills-for-Academics) into .agents/skills/data-profiler in your project. Codex loads it when a task matches its description.
Can I use Data Profiler 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 aspi6246/Claude-Code-Skills-for-Academics --skill data-profiler -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-profiler, .gemini/skills/data-profiler, .github/skills/data-profiler and .opencode/skills/data-profiler in your project.
What does Data Profiler need to run?
SKILL.md names no scripts, command-line tools or credentials: Data Profiler is instructions for the agent only.
Does Data Profiler 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 Data Profiler 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 Profiler use?
No licence was found for Data Profiler or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Data Profiler use?
About 2k tokens (SKILL.md is roughly 7.8k 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 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Data Profiler?
Skills that share tags, products or a category with Data Profiler: Pandas Pro (Jeffallan/claude-skills, 12k stars), Code Engineer (openJiuwen-ai/sciencediscovery, 148 stars), Data Analysis (xiaoyuge886/aigc, 198 stars) and Data Explorer (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 Data Profiler?
aspi6246 (a GitHub user) maintains it in aspi6246/Claude-Code-Skills-for-Academics, which has 157 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on August 21, 2026.
Source: aspi6246/Claude-Code-Skills-for-Academics on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.