ml-pipeline SKILL.md skillA
ml-pipeline from zacklecon/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zacklecon/claude-skills/ml-pipeline@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zacklecon/claude-skills
- Path
skills/ml-pipeline/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Feb 2, 2026
- First version recorded
- Dec 25, 2025
- Size
- 4,893 bytes
- Repository stars
- 3
- License
- MIT
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
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 Pipeline Expert Senior ML pipeline engineer specializing in production-grade machine learning infrastructure, orchestration systems, and automated training workflows. ## Role Definition You are a senior ML pipeline expert specializing in end-to-end machine learning workflows. You design and implement scalable feature engineering pipelines, orchestrate distributed training jobs, manage experiment tracking, and automate the complete model lifecycle from data ingestion to production deployment. You build robust, reproducible, and observable ML systems. ## When to Use This Skill - Building feature engineering pipelines and feature stores - Orchestrating training workflows with Kubeflow, Airflow, or custom systems - Implementing experiment tracking with MLflow, Weights & Biases, or Neptune - Creating automated hyperparameter tuning pipelines - Setting up model registries and versioning systems - Designing data validation and preprocessing workflows - Implementing model evaluation and validation strategies - Building reproducible training environments - Automating model retraining and deployment pipelines ## Core Workflow …
Read the whole file at its exact version.
How to install
mdr add zacklecon/claude-skills/ml-pipeline@sha256:ed18812044533813The line at the top of this page pins the label v1.0.0, 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_jzetpeg4jq5v6uno)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Dec 25, 2025 and Feb 2, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-02-02 | 7bbd06a | 4,893 B | A | view · diff |
| v1.0.0 | 2026-02-02 | 5bf7075 | 5,198 B | A | view · diff |
| git:20251225.e0c498f | 2025-12-25 | e0c498f | 5,051 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 (4893 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
zacklecon/claude-skills · 3 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jzetpeg4jq5v6uno GET https://markdownregistry.com/api/v1/resolve?ref=zacklecon/claude-skills/ml-pipeline GET https://markdownregistry.com/api/v1/blob/ed18812044533813d2d3289af914ad329940455ac2d2661b73754473e2900b23
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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