data-pipelines Cursor ruleA
data-pipelines from darknecrocities/skillbuilder is a Cursor rule: instructions the Cursor agent follows in that repo.
mdr add darknecrocities/skillbuilder/.cursor/rules/data-pipelines.mdc@git:20261029.1aa6befPins git:20261029.1aa6bef in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 14 of 14 checks passed
- Kind
- Cursor rule
- Repository
- darknecrocities/skillbuilder
- Path
.cursor/rules/data-pipelines.mdc- Versions recorded
- 1
- Latest version
- git:20261029.1aa6bef, committed Oct 29, 2026
- Size
- 5,439 bytes
- Repository stars
- 13
- License
- none declared
Data pipeline engineering, streaming ETL with backpressure, Apache Arrow memory structures, DuckDB in-process analytics, schema validation, and dead-letter queues (DLQ).
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
# Data Pipelines, Streaming Ingest & Embedded Analytics (`/data-pipelines`) > **Philosophy**: *Unbounded in-memory aggregation is an architectural failure. Stream large datasets with backpressure. Validate schemas at every record boundary. Enforce idempotency on batch runs. Route poisoned records to Dead-Letter Queues (DLQ) without crashing the pipeline.* This skill establishes defensive engineering standards for data pipelines, batch ETL, and embedded analytical workloads using **DuckDB**, **Apache Arrow**, **Polars**, and **Pandas**. --- ## 1. Quick Navigation & Progressive Disclosure | Resource Type | Document | Description | | :--- | :--- | :--- | | **Reference** | [references/streaming-etl-and-arrow.md](references/streaming-etl-and-arrow.md) | Columnar memory, zero-copy RecordBatches, bounded queue backpressure. | | **Reference** | [references/duckdb-and-dlq-patterns.md](references/duckdb-and-dlq-patterns.md) | Vectorized in-process analytics, Parquet queries, DLQ quarantine schemas. | | **Utility** | [scripts/verify_pipeline_integrity.py](scripts/verify_pipeline_integrity.py) | Scans pipeline code for unbounded reads, missing DLQ handling, and unindexed joins. | --- …
Read the whole file at its exact version.
How to install
mdr add darknecrocities/skillbuilder/.cursor/rules/data-pipelines.mdc@sha256:713fda88eac7b4c4The line at the top of this page pins the label git:20261029.1aa6bef, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ouy33hcamq6wyiqe)
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Versions
The registry has recorded 1 version of this file, committed on Oct 29, 2026.
Audit of the latest version
- pass: Size between 200 bytes and 200 KB (5439 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
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
darknecrocities/skillbuilder · 13 stars · license none declared · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ouy33hcamq6wyiqe GET https://markdownregistry.com/api/v1/resolve?ref=darknecrocities/skillbuilder/.cursor/rules/data-pipelines.mdc GET https://markdownregistry.com/api/v1/blob/713fda88eac7b4c454700d7b13900e986c607175d878cebe65f3aa7fac16f447
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: Cursor rules vs AGENTS.md · which agent file does what.
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