Skip to content
Agentmart
Submit a tool

data-acquisition-core

Shared core for the data acquisition skill tree.

Skill by Pranjay-kumar

IndexedMIT★ 2
Write a review

Chalk Labs

Need help deploying data-acquisition-core?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

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-core

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

Shared core for the data acquisition skill tree. Use when a data acquisition task needs source access classification, output contracts, compliance boundaries, feasibility scorecards, probing standards, pipeline quality standards, or shared references used by sibling data-acquisition skills. Do not use alone for ordinary browsing or non-data tasks.

Use cases: data, security, productivity

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-core

What's inside

Skill name
data-acquisition-core
Description
Shared core for the data acquisition skill tree. Use when a data acquisition task needs source access classification, output contracts, compliance boundaries, feasibility scorecards, probing standards, pipeline quality standards, or shared references used by sibling data-acquisition skills. Do not use alone for ordinary browsing or non-data tasks.
License
MIT
Instructions
28 lines in SKILL.md · view on GitHub

Files (15)

  • SKILL.md
  • compliance-boundaries.md · references/
  • endpoint-discovery.md · references/
  • examples.md · references/
  • execution-adapters.md · references/
  • feasibility-scoring.md · references/
  • modes.md · references/
  • output-contracts.md · references/
  • pattern-library.md · references/
  • pipeline-engineering.md · references/
  • playwright-rendered-dom.md · references/
  • probing.md · references/
  • source-access.md · references/
  • source-strategies.md · references/
  • workflow.md · references/

SKILL.md (first lines)

# Data Acquisition Core

Use this as the shared contract package for the data acquisition skill tree. Keep shared definitions here so sibling skills do not drift.

## Core References

Load only what the active task needs:

- `references/source-access.md`: access classes, owned-session rules, secret handling, publishability.
- `references/output-contracts.md`: ModeSelection, SourceAccessClass, DatasetNeed, DatasetSpec, ProbeResults, FeasibilityScorecard, PipelineQualityPlan, PipelinePlan, ApprovalGate.
- `references/compliance-boundaries.md`: allowed and disallowed behaviors.
- `references/workflow.md`: end-to-end acquisition workflow.
- `references/modes.md`: mode ladder and output shapes.
- `references/probing.md`: tiny probes, headers, pagination, limits.
- `references/feasibility-scoring.md`: scoring and Green/Yellow/Red.
- `references/source-strategies.md`: source strategy tradeoffs.
- `references/pattern-library.md`: common API/source archetypes.
- `references/endpoint-discovery.md`: endpoint reverse-engineering.
- `references/playwright-rendered-dom.md`: Patchright warm-session capture, Playwright fallback, and owned-session browser probes.
- `references/execution-adapters.md`: warm-session capture, adapter ladder, and optional Jacob Padilla adapter notes.
- `references/pipeline-engineering.md`: production pipeline design.
- `references/examples.md`: response shapes.

## Rule

Child skills should reference these files instead of duplicating contracts.

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 10, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from Pranjay-kumar

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get data-acquisition-core running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying data-acquisition-core?

CallGet help
Cite this page

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