ml-ops-engineer SKILL.md skillA
ml-ops-engineer from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add borghei/claude-skills/ml-ops-engineer@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
- borghei/claude-skills
- Path
data-analytics/ml-ops-engineer/SKILL.md- Versions recorded
- 6
- Latest version
- v1.0.0, committed Sep 27, 2026
- First version recorded
- Mar 21, 2026
- Size
- 14,044 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
MLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
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
# MLOps Engineer The agent operates as a senior MLOps engineer, deploying models to production, orchestrating training pipelines, monitoring model health, managing feature stores, and automating ML CI/CD. ## Clarify First Before deploying, confirm these inputs. If any is unknown or vague, ASK — do not assume: - [ ] **Serving mode + latency SLA** — real-time (FastAPI/K8s) or batch, and the P99 target (drives the entire deployment architecture) - [ ] **Current MLOps maturity** — manual, pipeline, CI/CD, or full (identifies the highest-impact gap to close first) - [ ] **Model artifact + registry/infra** — framework, where it is stored, and target platform (MLflow, K8s) (drives the serving and registry config) - [ ] **Monitoring thresholds** — drift and accuracy-drop limits plus check cadence (drives alert rules and drift detection) Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. ## Workflow 1. **Assess ML maturity** -- Determine the current level (manual notebooks vs. automated pipelines vs. full CI/CD). Identify the highest-impact gap to close first. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/ml-ops-engineer@sha256:2afd2374ef7d67efThe 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_qustx5yhjvhle7f6)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Mar 21, 2026 and Sep 27, 2026, about one every 38 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-27 | f317423 | 14,044 B | A | view · diff |
| v1.0.0 | 2026-06-22 | 65b93aa | 14,300 B | A | view · diff |
| v1.0.0 | 2026-06-17 | 0c19211 | 13,497 B | A | view · diff |
| v1.0.0 | 2026-03-30 | 6b5a5d8 | 13,551 B | A | view · diff |
| v1.0.0 | 2026-03-21 | deb73d4 | 13,482 B | A | view · diff |
| v1.0.0 | 2026-03-21 | f258c12 | 13,492 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 (14044 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
borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qustx5yhjvhle7f6 GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/ml-ops-engineer GET https://markdownregistry.com/api/v1/blob/2afd2374ef7d67ef1e0b698f22450c39d6360b7cfef569b2d6221313f357153d
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.