Menu
Summarize a CSV, compute basic stats, and produce a markdown report + a plot image.
The review-first prompt is selected by default. You can switch to a direct command or download a local copy.
Read SKILL.md and any companion files shown by SkillsMP before deciding whether to install.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
A direct command skips the review prompt. Inspect the source before running it.
npx skills add https://github.com/simonw/research --skill csv-insightsThe command stays on one line. Scroll horizontally to inspect it before copying.
Prefer a local copy? Download the files currently available to SkillsMP.
Build async web applications and APIs with Starlette 1.0, the lightweight ASGI framework for Python. Use this skill whenever a user wants to create an async Python web app, REST API, WebSocket server, or ASGI application using Starlette. Triggers include mentions of 'Starlette', 'ASGI', async Python web frameworks, or requests to build lightweight async APIs, WebSocket services, streaming responses, or middleware pipelines. Also use when the user is working with FastAPI internals (which is built on Starlette), needs ASGI middleware patterns, or wants a minimal async web server without a full framework. Covers routing, requests/responses, WebSockets, middleware, templates, static files, authentication, lifespan, background tasks, config, testing, schemas, and more.
Generate a cheerful greeting in any language.
Guide for writing Datasette plugins. This skill should be used when users want to create or develop plugins for Datasette, including information about plugin hooks, the cookiecutter template, database APIs, request/response handling, and plugin configuration.
Based on SOC occupation classification
Showing SKILL.md
| name | csv-insights |
| description | Summarize a CSV, compute basic stats, and produce a markdown report + a plot image. |
Use this skill when the user provides a CSV file and wants:
output/report.mdoutput/plot.pngpython -m pip install -r requirements.txt python run.py --input <csv_file> --outdir output