Data acquisition pipeline

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

Use when the user wants a production-grade scraping/API/browser pipeline design or implementation plan: pipeline.yaml, schemas, raw/staged/normalized outputs, dedupe, incremental refresh, checkpoints, retries, rate-limit strategy, quality gates, observability, run reports, and recovery.From its SKILL.md

Install

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

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

0.9 KB, 133 tokens by cl100k_base, as published. Nobody here has run it

Data Acquisition Pipeline

Act as the pipeline architect. Turn known or proposed sources into a restartable, observable, quality-checked pipeline.

Shared Core

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

pipeline-engineering.md
source-access.md
output-contracts.md
source-strategies.md
compliance-boundaries.md

Output

Return:

SourceAccessClass
PipelineQualityPlan
PipelinePlan
schema
output layout
run report shape
validation gates
ApprovalGate

If implementing, keep secrets local and outputs incremental.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.