ai-ml-timeseries SKILL.md skillA

ai-ml-timeseries from vasilyu1983/ai-agents-public is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add vasilyu1983/ai-agents-public/ai-ml-timeseries@v1.3

Pins v1.3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
vasilyu1983/ai-agents-public
Path
skills/universal/ai-ml-timeseries/SKILL.md
Versions recorded
1
Latest version
v1.3, committed Oct 5, 2026
Size
15,032 bytes
Repository stars
101
License
MIT

Builds and backtests demand and revenue forecasts: rolling-origin backtests, prediction intervals, reconciliation, zero-shot foundation models. Use when forecasting time series.

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 - Production Patterns

Define the prediction cutoff before modelling: only information available then can enter features or baselines. Compare models on the decision horizon against the forecast currently driving decisions.

## Scope Boundaries

- **General EDA, tabular modelling, experiment design, or reusable DS workflow** -> [ai-ml-data-science](../ai-ml-data-science/SKILL.md)
- **Deployment architecture, monitoring stack, release gates, incident playbooks** -> [ai-mlops](../ai-mlops/SKILL.md)
- **Generic LLM lifecycle, prompting, or provider selection** -> [ai-llm](../ai-llm/SKILL.md)
- **RAG and search systems** -> [ai-rag](../ai-rag/SKILL.md)

## Workflow

1. Define the forecast target, horizon, cutoff timestamp, granularity, and business-loss shape first.
2. Route generic DS workflow or full production-ops work to the adjacent skill when forecasting depth is not the main need.
3. Choose the baseline, feature pattern, and model family from the decision tree.
4. Run leakage-safe backtests, compare horizon-aware metrics, and add interval or calibration checks when decisions need uncertainty.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add vasilyu1983/ai-agents-public/ai-ml-timeseries@sha256:488515e3cc599673

The line at the top of this page pins the label v1.3, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5lswmuzpoleoes5t.svg)](https://markdownregistry.com/a/art_5lswmuzpoleoes5t)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 5, 2026.

versioncommittedcommitsizeaudit
v1.3 latest2026-10-05 5db538c 15,032 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15032 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

GitHub

vasilyu1983/ai-agents-public · 101 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5lswmuzpoleoes5t
GET https://markdownregistry.com/api/v1/resolve?ref=vasilyu1983/ai-agents-public/ai-ml-timeseries
GET https://markdownregistry.com/api/v1/blob/488515e3cc59967330f438ffd1a26f58cfe72e8ed396bfe89cada8875e7d9051

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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