fabric-forecasting SKILL.md skillA
fabric-forecasting from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jnpiyush/agentx/fabric-forecasting@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
- jnpiyush/agentx
- Path
.github/skills/data/fabric-forecasting/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Sep 15, 2026
- First version recorded
- Feb 28, 2026
- Size
- 13,396 bytes
- Repository stars
- 19
- License
- Apache-2.0
Build time-series forecasting pipelines on Microsoft Fabric - data preparation, profiling, clustering, feature engineering, and model training. Use when implementing demand forecasting, training LightGBM/Prophet models, engineering time-series features, or deploying prediction pipelines on Fabric.
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
# Fabric Forecasting > Time-series forecasting pipelines on Fabric - from raw data to trained models with profiling, clustering, and feature engineering. ## When to Use - Building demand forecasting models (retail, supply chain, finance) - Forecasting across many series (products, stores, regions) - Classifying time-series patterns (regular, intermittent, lumpy, erratic) - Creating feature-engineered datasets for ML models - Training and tuning LightGBM, Prophet, or ensemble models on Fabric ## Decision Tree ``` Need time-series forecasting on Fabric? +- Have historical data in Lakehouse? | +- Yes -> Start at Phase 1 (Intake & Discovery) | - No -> Use fabric-analytics skill to ingest data first +- Know the forecasting scenario? | +- Clear requirements -> Start at Phase 2 (Scenario Interpretation) | - Need discovery -> Start at Phase 1 +- Have a customization plan? | - Yes -> Start at Phase 4 (Notebook Generation) +- Which model? | +- Many series + external features -> LightGBM [PASS] | +- Few series + strong seasonality -> Prophet [PASS] | +- Intermittent demand -> Specialized methods (Croston, SBA) | - Unsure -> Profile data first (Phase 1-2), then decide - Not forecasting? …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/fabric-forecasting@sha256:efa3a90a5de399baThe 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_zxm7mnifoljehl7r)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 28, 2026 and Sep 15, 2026, about one every 100 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-15 | f17c505 | 13,396 B | A | view · diff |
| v1.0.0 | 2026-03-01 | 969f335 | 13,394 B | A | view · diff |
| v1.0.0 | 2026-02-28 | aa03a2e | 11,946 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 (13396 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
jnpiyush/agentx · 19 stars · license Apache-2.0 · pushed 2026-11-04 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_zxm7mnifoljehl7r GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/fabric-forecasting GET https://markdownregistry.com/api/v1/blob/efa3a90a5de399ba36c85a6037c56314ff8a8cb037df998a012ba573ea18fa1a
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.