ml-data-pipeline-architecture SKILL.md skillA
ml-data-pipeline-architecture from terrylica/cc-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add terrylica/cc-skills/ml-data-pipeline-architecture@git:20260506.c488415Pins git:20260506.c488415 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- terrylica/cc-skills
- Path
plugins/devops-tools/skills/ml-data-pipeline-architecture/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260506.c488415, committed May 6, 2026
- First version recorded
- Jan 31, 2026
- Size
- 10,839 bytes
- Repository stars
- 2
- License
- MIT
Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. TRIGGERS - data pipeline, polars vs pandas, arrow format.
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
# ML Data Pipeline Architecture Patterns for efficient ML data pipelines using Polars, Arrow, and ClickHouse. **ADR**: [2026-01-22-polars-preference-hook](/docs/adr/2026-01-22-polars-preference-hook.md) (efficiency preferences framework) > **Note**: A PreToolUse hook enforces Polars preference. To use Pandas, add `# polars-exception: <reason>` at file top. > **Self-Evolving Skill**: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues. ## When to Use This Skill Use this skill when: - Deciding between Polars and Pandas for a data pipeline - Optimizing memory usage with zero-copy Arrow patterns - Loading data from ClickHouse into PyTorch DataLoaders - Implementing lazy evaluation for large datasets - Migrating existing Pandas code to Polars --- ## 1. Decision Tree: Polars vs Pandas ``` Dataset size? ├─ < 1M rows → Pandas OK (simpler API, richer ecosystem) ├─ 1M-10M rows → Consider Polars (2-5x faster, less memory) └─ > 10M rows → Use Polars (required for memory efficiency) Operations? ├─ Simple transforms → Either works …
Read the whole file at its exact version.
How to install
mdr add terrylica/cc-skills/ml-data-pipeline-architecture@sha256:478ee1faf9068128The line at the top of this page pins the label git:20260506.c488415, 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_opl5umjh4jdcydo4)
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Versions
The registry has recorded 5 versions of this file, between Jan 31, 2026 and May 6, 2026, about one every 24 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260506.c488415 latest | 2026-05-06 | c488415 | 10,839 B | A | view · diff |
| git:20260401.b664eaf | 2026-04-01 | b664eaf | 10,907 B | A | view · diff |
| git:20260401.6be22af | 2026-04-01 | 6be22af | 10,685 B | A | view · diff |
| git:20260220.1e9f460 | 2026-02-20 | 1e9f460 | 10,132 B | A | view · diff |
| git:20260131.6c12174 | 2026-01-31 | 6c12174 | 10,100 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10839 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
terrylica/cc-skills · 2 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_opl5umjh4jdcydo4 GET https://markdownregistry.com/api/v1/resolve?ref=terrylica/cc-skills/ml-data-pipeline-architecture GET https://markdownregistry.com/api/v1/blob/478ee1faf90681285b45dc4e9210fd8ebc171f373b34ef10af80432e68afa3b9
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