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Data acquisition design

Skill Pranjay-kumar/universal-data-acquisition-pipeline-skill/skills/data-acquisition-design

Codex/Claude skill for designing robust scraping, API, Playwright, and authorized data acquisition pipelines

Install
npx -y skills add Pranjay-kumar/universal-data-acquisition-pipeline-skill --skill data-acquisition-design

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What its author says it does

Copied from the file, not written here

Use when the user needs to decide what data to collect before scraping or API work: DatasetNeed, DatasetSpec, entity grain, required vs nice-to-have fields, freshness, history, coverage targets, join keys, exclusions, and uselessness criteria. Use for vague business goals, all data requests, and scope control before source discovery.

SKILL.md

0.9 KB, as published. Nobody here has run it

Data Acquisition Design

Act as the dataset designer for acquisition work. Convert vague goals into the smallest useful dataset.

Shared Core

Read from ../data-acquisition-core/references/:

  • source-access.md
  • output-contracts.md
  • workflow.md
  • examples.md

Output

Return:

  • ModeSelection
  • SourceAccessClass when access is already implied
  • DatasetNeed
  • DatasetSpec
  • DataAcquisitionMemo
  • ApprovalGate

Do not hunt endpoints unless the user asks to continue.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.