csv-insights
Skill257 starsChanged 49 days agoApache-2.0View on GitHub
Profile a CSV file and produce a Markdown report with row/column counts, fill rates, unique values, and numeric or categorical summaries.
In this repository14 other files it gives its agents.
- Synaplan DesktopAGENTS.md
- calendar-eventSkill
- chartSkill
- data-tableSkill
- docxSkill
- email-draftSkill
- hello-filesSkill
- invoiceSkill
- json-csvSkill
- pptxSkill
- slidesSkill
- vcardSkill
- web-reportSkill
- xlsxSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Run with Python. Pass the input CSV and an output Markdown path inside the out-box:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
CSV insights
Turn a CSV file into a readable Markdown report: total rows and columns, and for each column its fill rate, unique values, and either numeric stats (min/max/mean/std) or the most common categories.
How to run
Run with Python. Pass the input CSV and an output Markdown path inside the out-box:
python3 <skill_dir>/run.py <input.csv> <output.md> [title]<input.csv>— a CSV in a folder the user allowed, or already in the out-box.<output.md>— a path inside the out-box.[title]— optional report title.
Standard library only; no packages to install. It reads one CSV and writes one Markdown file. After running, tell the user the saved path.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.