factory-data-pipelines SKILL.md skillA

factory-data-pipelines from nonlinear-xyz/factory-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nonlinear-xyz/factory-kit/factory-data-pipelines@git:20260716.517fb94

Pins git:20260716.517fb94 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nonlinear-xyz/factory-kit
Path
skills/factory-data-pipelines/SKILL.md
Versions recorded
1
Latest version
git:20260716.517fb94, committed Jul 16, 2026
Size
10,423 bytes
Repository stars
9
License
MIT

Data ingestion and pipeline conventions for projects that import CSVs, run simulations, or operate Python services alongside Next.js. Covers Papa Parse for CSV imports, JSONB envelope storage for time-series data, the three-entry-point Python service pattern (CLI / Cloud Run API / Pub/Sub), YAML config for service-level data, geopandas/shapely for geospatial work, and deployment via Cloud Run + ephemeral Neon DBs.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Factory data pipelines

Each section leads with **Principle** (one sentence, stack-agnostic), then **Why** (constraint → option → tradeoff), then **Recipe** (the Papa Parse / FastAPI / Cloud Run shape we use), and **Failure mode** when there's one to name. Sections that are pure style with no deeper truth are marked `Recipe only`.

## CSV ingestion — a script, not a framework

**Principle.** A one-shot CSV importer is a standalone script in `scripts/`; promote to a framework only when a second consumer appears.

**Why.** Premature job-framework adoption for a single CSV importer is paying the abstraction cost without the abstraction benefit. A standalone script with Papa Parse and a Drizzle transaction is grep-able, debuggable, runnable locally. Wrapping it in BullMQ / Inngest / a Cloud Run job buys nothing until there's a second importer that shares the wrapper.

**Recipe.**

```
scripts/
└── data_processing/
    ├── import-state-data.ts
    ├── simulations/
    │   └── import-simulation.ts
    └── vins/
        └── import-vins.ts
```

```ts
import Papa from 'papaparse';
import { db } from '@/db';
import { foo } from '@/db/schema';
…

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How to install

The exact contents, by fingerprint
mdr add nonlinear-xyz/factory-kit/factory-data-pipelines@sha256:fad0d219ae8d2e03

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Versions

The registry has recorded 1 version of this file, committed on Jul 16, 2026.

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A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10423 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
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  • pass: No recursive delete of root, home or parent
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Source

GitHub

nonlinear-xyz/factory-kit · 9 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2j3zhq7rr37iv7fe
GET https://markdownregistry.com/api/v1/resolve?ref=nonlinear-xyz/factory-kit/factory-data-pipelines
GET https://markdownregistry.com/api/v1/blob/fad0d219ae8d2e03fa9098de42248900eb74a58f860cd8209026b628071616c9

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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