senior-ml-engineer SKILL.md skillA
senior-ml-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/senior-ml-engineer@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- borghei/claude-skills
- Path
engineering/senior-ml-engineer/SKILL.md- Versions recorded
- 4
- Latest version
- v1.1.0, committed Jun 22, 2026
- First version recorded
- Mar 21, 2026
- Size
- 6,805 bytes
- Repository stars
- 1,075
- License
- a license file GitHub does not identify
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.
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
# Senior ML Engineer Production ML engineering patterns for model deployment, MLOps infrastructure, and LLM integration. ## Core Capabilities - **Model deployment** — export to ONNX/TorchScript/SavedModel, containerize, canary rollout, and serve via FastAPI, Triton, TF Serving, TorchServe, or Ray Serve with p95<100ms / error<0.1% gates. - **MLOps pipelines** — feature stores (Feast/Tecton), experiment tracking (MLflow/W&B), model registry, A/B testing, and drift-triggered retraining. - **LLM integration** — provider abstraction, retry/fallback with exponential backoff, token counting, response caching, cost tracking, and Pydantic output validation. - **RAG systems** — vector database selection, chunking strategies, ingestion, retrieval, and reranking. - **Model monitoring** — latency/error tracking, input drift detection (KS test, PSI), prediction-shift alerts, and automated retraining triggers. ## When to Use - Deploying a trained model to production with canary rollout and monitoring. - Standing up MLOps infrastructure (feature store, registry, retraining). - Integrating LLM APIs with provider abstraction and cost control. …
Read the whole file at its exact version.
How to install
mdr add borghei/claude-skills/senior-ml-engineer@sha256:bc71a6a0723ed263The line at the top of this page pins the label v1.1.0, 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_zk63sx6de4mipghz)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 21, 2026 and Jun 22, 2026, about one every 31 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-06-22 | 65b93aa | 6,805 B | A | view · diff |
| v1.1.0 | 2026-06-17 | 8980a67 | 6,156 B | A | view · diff |
| v1.0.0 | 2026-03-30 | 6b5a5d8 | 15,722 B | A | view · diff |
| git:20260321.deb73d4 | 2026-03-21 | deb73d4 | 15,720 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 (6805 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_zk63sx6de4mipghz GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/senior-ml-engineer GET https://markdownregistry.com/api/v1/blob/bc71a6a0723ed263368b4481309fb0e5c5aec54f74a73bde9690f0b4c717a47a
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.