Skip to content
Agentmart
Submit a tool

data-acquisition-design

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…

Skill by Pranjay-kumar

IndexedMIT★ 2
Write a review

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/pranjay-kumar-data-acquisition-design

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

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.

Use cases: design, backend, testing, data

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/data-acquisition-design

What's inside

Skill name
data-acquisition-design
Description
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.
License
MIT
Instructions
27 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# 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.

From Pranjay-kumar/universal-data-acquisition-pipeline-skill, MIT.

More from Pranjay-kumar/universal-data-acquisition-pipeline-skill

Signals

Stars
2
Forks
0
Open issues
0
Last commit (this folder)
Jun 9, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/Pranjay-kumar/universal-data-acquisition-pipeline-skill
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from Pranjay-kumar

Cite this page

data-acquisition-design skill. Agent Mart. https://agentmart.dev/skills/pranjay-kumar-data-acquisition-design (last updated 2026-10-24)