ai-ml-timeseries SKILL.md skillA
ai-ml-timeseries 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-timeseries@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-timeseries/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0, committed Sep 26, 2026
- First version recorded
- Jun 19, 2026
- Size
- 13,756 bytes
- Repository stars
- 5
- License
- MIT
Previsão de séries temporais — LightGBM, Transformers, validação temporal, feature engineering e deploy em produção. Use ao construir modelos de séries temporais (time series, forecasting).
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
# Time Series Forecasting — Modern Patterns & Production Best Practices **Modern Best Practices (January 2026)**: - Treat **time** as a first-class axis: temporal splits, rolling backtests, and point-in-time correctness. - Default to **strong baselines** (naive/seasonal naive) before complex models. - Prevent leakage: feature windows and aggregations must use only information available at prediction time. - Evaluate by **horizon** and **segment**; a single aggregate metric hides failures. - Prefer **probabilistic** forecasts when decisions are risk-sensitive (quantiles/intervals); evaluate calibration (coverage) and use pinball/CRPS. - For many related series, consider **global + hierarchical** approaches (shared models + reconciliation); validate across levels and key segments. - Treat **time zones/DST** as first-class; validate timestamp alignment before feature generation. - Define retraining cadence and degraded modes (fallback model, last-known-good forecast). …
Read the whole file at its exact version.
How to install
mdr add joaoguirunas/team-os/ai-ml-timeseries@sha256:a52e36f56bf5aff0The 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_zrjp4in3ex3t5o47)
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 | 13,756 B | A | view · diff |
| v1.0 | 2026-09-05 | 1e1acb4 | 13,707 B | A | view · diff |
| git:20260619.65743d2 | 2026-06-19 | 65743d2 | 13,672 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 (13756 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_zrjp4in3ex3t5o47 GET https://markdownregistry.com/api/v1/resolve?ref=joaoguirunas/team-os/ai-ml-timeseries GET https://markdownregistry.com/api/v1/blob/a52e36f56bf5aff05139b868acc79a28af85ebf34b5e9c4d408b87d4ea66f97f
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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