tao-generate-image-embeddings SKILL.md skillA
tao-generate-image-embeddings 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-generate-image-embeddings@v0.1.0Pins v0.1.0 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/data/tao-generate-image-embeddings/SKILL.md- Versions recorded
- 6
- Latest version
- v0.1.0, committed Oct 14, 2026
- First version recorded
- Aug 26, 2026
- Size
- 8,845 bytes
- Repository stars
- 95
- License
- Apache-2.0
Run TAO Data Services image embedding to turn a parquet of image filepaths into an embedding parquet using CLIP, SigLIP, or a TAO checkpoint. Use when a workflow needs embeddings before nearest-neighbor or unique-neighbor mining, or when the user asks to "embed images", "compute image embeddings", or "generate SigLIP embeddings".
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
# TAO Generate Image Embeddings Use this skill to run TAO Data Services image embedding. The skill consumes a parquet of image filepaths and writes a parquet with an embedding column. Downstream mining skills (`tao-mine-od-images`, `tao-mine-nearest-neighbors`) consume its output. The container entrypoint is: ```bash embedding image_embeddings -e /absolute/path/to/image_embeddings.yaml ``` ## Inputs The user can provide either an existing spec or the fields needed to generate one. Required spec fields: | Field | Meaning | |---|---| | `input_parquet` | Absolute path to a parquet containing image filepaths. | | `output_parquet` | Absolute path where the embedding parquet is written. | | `model` | `CLIP` or `SigLIP`. | | `model_path` | HuggingFace model id, local HF snapshot directory, or a TAO `.pth`/`.ckpt` checkpoint. **Must match `model`.** SigLIP: `google/siglip-base-patch16-224` (768-dim, the template default). CLIP: `openai/clip-vit-base-patch32` (512-dim). The validator rejects a recognizable model/path mismatch before launch. | Common optional fields: | Field | Default | Meaning | |---|---:|---| …
Read the whole file at its exact version.
How to install
mdr add nvidia-tao/tao-skill-bank/tao-generate-image-embeddings@sha256:fdc20c9deaaa2426The line at the top of this page pins the label v0.1.0, 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_kfu6amz54vsank7l)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between Aug 26, 2026 and Oct 14, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.1.0 latest | 2026-10-14 | bf58d9d | 8,845 B | A | view · diff |
| v0.1.0 | 2026-10-03 | 7cf2955 | 8,334 B | A | view · diff |
| v0.1.0 | 2026-09-16 | 917a6a3 | 7,832 B | A | view · diff |
| v0.1.0 | 2026-08-28 | 614fe51 | 7,910 B | A | view · diff |
| v0.1.0 | 2026-08-28 | ae022a9 | 7,970 B | A | view · diff |
| v0.1.0 | 2026-08-26 | e91a65c | 7,954 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 (8845 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_kfu6amz54vsank7l GET https://markdownregistry.com/api/v1/resolve?ref=nvidia-tao/tao-skill-bank/tao-generate-image-embeddings GET https://markdownregistry.com/api/v1/blob/fdc20c9deaaa2426add80387846d20e8785c899abfeb30e899385a9e1f6a13a2
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.