ai-ml-data-science SKILL.md skillA
ai-ml-data-science from joaoguirunas/team-os is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add joaoguirunas/team-os/ai-ml-data-science@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- joaoguirunas/team-os
- Path
.claude/skills/ai-ml-data-science/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Sep 26, 2026
- First version recorded
- Jun 19, 2026
- Size
- 18,253 bytes
- Repository stars
- 5
- License
- MIT
Workflows de ML e ciência de dados — EDA, feature engineering, modelagem, avaliação e handoff para produção. Use ao explorar dados ou construir modelos de machine learning.
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 Science Engineering Suite - Quick Reference This skill turns **raw data and questions** into **validated, documented models** ready for production: - **EDA workflows**: Structured exploration with drift detection - **Feature engineering**: Reproducible feature pipelines with leakage prevention and train/serve parity - **Model selection**: Baselines first; strong tabular defaults; escalate complexity only when justified - **Evaluation & reporting**: Slice analysis, uncertainty, model cards, production metrics - **SQL transformation**: SQLMesh for staging/intermediate/marts layers - **MLOps**: CI/CD, CT (continuous training), CM (continuous monitoring) - **Production patterns**: Data contracts, lineage, feedback loops, streaming features **Modern emphasis (2026):** Feature stores, automated retraining, drift monitoring (Evidently), train-serve parity, and agentic ML loops (plan -> execute -> evaluate -> improve). Tools: LightGBM, CatBoost, scikit-learn, PyTorch, Polars (lazy eval for larger-than-RAM datasets), lakeFS for data versioning. --- ## Quick Reference | Task | Tool/Framework | Command | When to Use | |------|----------------|---------|-------------| …
Read the whole file at its exact version.
How to install
mdr add joaoguirunas/team-os/ai-ml-data-science@sha256:bf2f3e431ed0e831The line at the top of this page pins the label v1.0, 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_fokkkayychnecjka)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jun 19, 2026 and Sep 26, 2026, about one every 50 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0 latest | 2026-09-26 | 8a9bf22 | 18,253 B | A | view · diff |
| v1.0 | 2026-09-05 | 1e1acb4 | 18,224 B | A | view · diff |
| git:20260619.65743d2 | 2026-06-19 | 65743d2 | 18,436 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 (18253 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
joaoguirunas/team-os · 5 stars · license MIT · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fokkkayychnecjka GET https://markdownregistry.com/api/v1/resolve?ref=joaoguirunas/team-os/ai-ml-data-science GET https://markdownregistry.com/api/v1/blob/bf2f3e431ed0e83158296a9df1a8098ce4d7622cc3591341a7d92ec8bf1f0eb8
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.
More from joaoguirunas/team-os
Every file in joaoguirunas/team-os