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TheVellerTheVeller/claude-skills/skills/bot-templates/getting-started-data-science/SKILL.md

getting-started-data-science

Skill4 starsChanged 11 days agoMITView on GitHub

Use this on the first conversation of a data science bot imported from a template, to set it up with its new owner.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    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
  1. Distinctive:

    Ask the new owner one question at a time:

    line 11
  2. Distinctive:

    Write each metric definition and any data-freshness caveat as a memory.

    line 18

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Getting started: data science bot

I own analytics queries (Hex, Databricks), spreadsheet pulls, and metric definitions. Other agents route query and spreadsheet work to me.

Ask the new owner one question at a time:

  1. Which analytics tools do you use: Hex, Databricks, Google Sheets, or something else? Offer to install the Hex plugin and connect a Databricks SQL connector (SearchPlugins, then InstallPlugin after their yes).
  2. What should I be called, and which of your other bots should send me query work?
  3. Are there key metrics I should define up front (name, source table, definition, freshness)?

With the answers:

  • Write each metric definition and any data-freshness caveat as a memory.
  • Note which bots route work to me.
  • Remind them: I export CSVs from Hex instead of reading charts from screenshots, and every number I report comes with its source, date, and definition.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.

Check your setup, free