tao-finetune-kumo-forecast SKILL.md skillA
tao-finetune-kumo-forecast from nvidia-tao/tao-skill-bank is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nvidia-tao/tao-skill-bank/tao-finetune-kumo-forecast@v0.2.0Pins v0.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nvidia-tao/tao-skill-bank
- Path
skills/models/tao-finetune-kumo-forecast/SKILL.md- Versions recorded
- 1
- Latest version
- v0.2.0, committed Sep 29, 2026
- Size
- 13,821 bytes
- Repository stars
- 95
- License
- Apache-2.0
Kumo-Forecast — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning. Use when the user asks to "forecast with Kumo-Forecast", "run forecasting inference", "use perform_forecasting", "DARR mode", "context-enhanced forecasting", "lag horizon attribution", "interpretability", "fine-tune forecasting", "fine-tune forecasting with automl", "hyper-parameter optimization with forecasting", or mentions "kumo-forecast…
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
# Kumo-Forecast Transformer-based multivariate time series forecasting using self-supervised pretraining on diverse temporal data. Three inference modes: **standard** (direct forecast), **DARR** (context-enhanced kNN retrieval blending), and **interpretability** (latent trajectory extraction, semantic flow, lag×horizon attribution, trajectory stability, and diagnostic ratios — full explanation bundle with PDF report). Fine-tuning adapts the forecasting head — and optionally the cross-channel layer — to your domain. **Source code:** https://github.com/NVIDIA/Kumo-TS **Pretrained weights:** https://huggingface.co/nvidia/Kumo-Forecast ## External dependencies | Dependency | Purpose | Install | |---|---|---| | Python 3.10+ | Runtime | https://www.python.org/downloads/ | | uv | Package + environment manager | `pip install uv` | | CUDA toolkit (optional) | GPU acceleration | https://developer.nvidia.com/cuda-downloads | | matplotlib (optional) | Interpretability PDF report, heatmap PNG, flow + stability charts | `uv add matplotlib` | ## Credentials `nvidia/Kumo-Forecast` is a public repo — no token required for downloading weights. …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-finetune-kumo-forecast@sha256:dad045f0a683236eThe line at the top of this page pins the label v0.2.0, 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_czhtjo7efae3llhn)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 29, 2026.
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 (13821 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
nvidia-tao/tao-skill-bank · 95 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_czhtjo7efae3llhn GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-finetune-kumo-forecast GET https://markdownregistry.com/api/v1/blob/dad045f0a683236eca09e795f2fb8a5af0bcc4e9ca971c8b903298f2d6d43d2d
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.