Chdb Datastore
vemetric/vemetric
A skill your agent uses when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas.
Panel data analysis with Python using linearmodels and pandas.
Install Python Panel Data
$ npx skills add meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff python-panel-data --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/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .claude/skills && cp -r skills-src/_skills/analysis/python-panel-data .claude/skills/python-panel-data && 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 "python-panel-data" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data into .claude/skills/python-panel-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-panel-data", 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/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-dataType 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 meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff python-panel-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .agents/skills && cp -r skills-src/_skills/analysis/python-panel-data .agents/skills/python-panel-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "python-panel-data" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data into .agents/skills/python-panel-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-panel-data", 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 meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff python-panel-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/_skills/analysis/python-panel-data .cursor/skills/python-panel-data && 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 "python-panel-data" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data into .cursor/skills/python-panel-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-panel-data", 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/meleantonio/awesome-econ-ai-stuff.git --path _skills/analysis/python-panel-data--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 meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff python-panel-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/_skills/analysis/python-panel-data .gemini/skills/python-panel-data && 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 "python-panel-data" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data into .gemini/skills/python-panel-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-panel-data", 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 meleantonio/awesome-econ-ai-stuff python-panel-dataInstalls 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 meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .github/skills && cp -r skills-src/_skills/analysis/python-panel-data .github/skills/python-panel-data && 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 "python-panel-data" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data into .github/skills/python-panel-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-panel-data", 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 meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install meleantonio/awesome-econ-ai-stuff python-panel-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/meleantonio/awesome-econ-ai-stuff.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/_skills/analysis/python-panel-data .opencode/skills/python-panel-data && 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 "python-panel-data" agent skill from https://github.com/meleantonio/awesome-econ-ai-stuff/tree/main/_skills/analysis/python-panel-data into .opencode/skills/python-panel-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "python-panel-data", 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
python-panel-data- GitHub stars
- 642
- Used in
- 2 other repos
- Token cost
- ~804 tokens
- SKILL.md length
- 278 words
- Files
- 2
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Panel data analysis with Python using linearmodels and pandas.
- Works in 3 steps: Understand the Context → Generate the Output → Verify and Explain
- Tasks that involve Econometrics and empirical research
- SKILL.md covers Purpose, When to Use, Instructions and Example Prompts, plus 6 more sections
- Calls pip
What it does
Python Panel Data is an agent skill from meleantonio/awesome-econ-ai-stuff. Panel data analysis with Python using linearmodels and pandas.
Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `index.md`). Compatibility notes: ["claude-code","cursor","codex","gemini-cli"]
It sits in Data & Analytics, covering Econometrics and empirical research and DataFrames. It works with Python, pandas and statsmodels. The repository describes itself as: AI Skills for Economists.
When your agent uses it
- Tasks that involve Econometrics and empirical research
- Tasks that involve DataFrames
Example prompts
- “/python-panel-data”
Requirements
- Python 3
- Compatibility (from SKILL.md): ["claude-code","cursor","codex","gemini-cli"]
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Understand the Context
- Generate the Output
- Verify and Explain
What it can do on your machine
Read from SKILL.md and the folder at commit dd890d5. 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
Shell commands in SKILL.md call:
pip
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):
bashtage.github.iostatsmodels.orgmitpress.mit.edu
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.
Compatibility
["claude-code","cursor","codex","gemini-cli"]
From compatibility in the SKILL.md frontmatter.
Context cost
Python Panel Data loads about 804 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 278 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 278 words (~804 tokens).
“This skill helps economists run panel data models in Python using pandas, statsmodels, and linearmodels, with correct fixed effects, clustering, and diagnostics.”
- name
- python-panel-data
- compatibility
- ["claude-code","cursor","codex","gemini-cli"]
- workflow_stage
- analysis
- author
- Awesome Econ AI Community
- version
- 1.0.0
- tags
- python, pandas, linearmodels, panel-data
Files
SKILL.md and 1 other file in _skills/analysis/python-panel-data of meleantonio/awesome-econ-ai-stuff.
- SKILL.md
- index.md
Open the folder on GitHubat commit dd890d5
Used in 2 other repositories
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in meleantonio/awesome-econ-ai-stuff, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Python Panel Data 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 |
|---|---|---|---|---|---|---|
| Python Panel Data this skillmeleantonio/awesome-econ-ai-stuff | 642 | 2 repos | ~804 | Automated safety check: Pass | Custom licence | |
| Chdb Datastorevemetric/vemetric | 394 | 2 repos | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill | 468 | 2 repos | ~1.4k | Automated safety check: Pass | None | |
| Python Executorcortega26/chile-hub | 113 | 2 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Retentioneering Product Analyticsretentioneering/retentioneering-tools | 920 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Python Panel Data
What does Python Panel Data do?
Panel data analysis with Python using linearmodels and pandas. Python Panel Data is an agent skill from meleantonio/awesome-econ-ai-stuff. Panel data analysis with Python using linearmodels and pandas.
When should I use Python Panel Data?
Python Panel Data fits situations like: tasks that involve Econometrics and empirical research; tasks that involve DataFrames.
How do I install Python Panel Data in Claude Code?
Run `npx skills add meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a claude-code`. Or copy the skill folder (_skills/analysis/python-panel-data in meleantonio/awesome-econ-ai-stuff) into .claude/skills/python-panel-data in your project. Claude Code loads it when a task matches its description.
How do I install Python Panel Data in Codex?
Run `npx skills add meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a codex`. Or copy the skill folder (_skills/analysis/python-panel-data in meleantonio/awesome-econ-ai-stuff) into .agents/skills/python-panel-data in your project. Codex loads it when a task matches its description.
Can I use Python Panel Data 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 meleantonio/awesome-econ-ai-stuff --skill python-panel-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/python-panel-data, .gemini/skills/python-panel-data, .github/skills/python-panel-data and .opencode/skills/python-panel-data in your project.
What does Python Panel Data need to run?
Going by SKILL.md and its folder, Python Panel Data needs the command-line tools its instructions call (pip). Our summary lists: Python 3. Compatibility (from SKILL.md): ["claude-code","cursor","codex","gemini-cli"].
Does Python Panel Data access the network?
SKILL.md names 3 domains. As links in the text: bashtage.github.io, statsmodels.org and mitpress.mit.edu. This is read from the text; nothing was executed.
Is Python Panel Data 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 Python Panel Data use?
Python Panel Data 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 Python Panel Data use?
About 804 tokens (SKILL.md is roughly 3.2k 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 Python Panel Data?
Skills that share tags, products or a category with Python Panel Data: Chdb Datastore (vemetric/vemetric, 394 stars), CSV Data Summarizer (coffeefuelbump/csv-data-summarizer-claude-skill, 468 stars), Python Executor (cortega26/chile-hub, 113 stars) and Retentioneering Product Analytics (retentioneering/retentioneering-tools, 920 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Python Panel Data?
meleantonio (a GitHub user) maintains it in meleantonio/awesome-econ-ai-stuff, which has 642 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 26, 2026.
Source: meleantonio/awesome-econ-ai-stuff on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.