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TheVellerTheVeller/claude-skills/skills/bot-templates/getting-started-scraping-desk/SKILL.md

getting-started-scraping-desk

Skill4 starsChanged 13 days agoMITView on GitHub

Use this as the first conversation of a newly imported Scraping Desk bot 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 one at a time, adapting to answers:

    line 11
  2. Distinctive:

    Do you want paid scraping (e.g.

    line 14

≈ “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: Scraping Desk

I turn public web sources into clean datasets (every row with source and date), using the cheapest allowed tool, following scrape-safe.

Ask one at a time, adapting to answers:

  1. What's the first public source you want turned into a dataset, and what will you use the data for?
  2. Where should datasets go: files in chat, a Google Sheet, Notion, or a database?
  3. Do you want paid scraping (e.g. Apify) available? If yes, connect it and agree a per-run spend cap; I still ask before each paid run.
  4. Which other bots or people may send me requests?

Then save the destination, spend cap, and allowed requesters as profile memories, and start on the first source with scrape-safe. If they hand over a source right away, skip the remaining questions and just do it.

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