tao-analyze-gaps-visual-changenet
tao-analyze-gaps-visual-changenet is an agent skill published by nvidia, listed under deploy & operate. It lives in the NVIDIA/skills repository, which has 3,735 GitHub stars and is licensed under Apache-2.0; we last read it on 2026-10-18.
Performs gap analysis on NVIDIA TAO VCN Classify experiments by running the pinned TAO data-services container via `docker run … gap_analysis vcn_aoi …`. It picks the optimal decision threshold, ranks per-sample weaknesses, and emits a top-K weakest parquet file for downstream augmentation.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads NVIDIA/skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add NVIDIA/skills
What it connects to
Unverified means a mention in the skill’s own description, not a citation. A wrong claim here costs nothing to correct and nothing to trust yet.
Maintenance
Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases.
tao-analyze-gaps-visual-changenet compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| tao-analyze-gaps-visual-changenet (this page) | nvidia | Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TA… | 3,735 | 2026-10-26 |
| amc-setup-calibration-stack(same repository) | nvidia | Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says… | 3,735 | 2026-10-26 |
| cuopt-install(same repository) | nvidia | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from… | 3,735 | 2026-10-26 |
| cupynumeric-hdf5(same repository) | nvidia | Read and write large cuPyNumeric arrays to HDF5 with Legate's parallel, distributed HDF5 I/O (legate.io.hdf5:… | 3,735 | 2026-10-26 |
| data-designer(same repository) | nvidia | Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline. | 3,735 | 2026-10-26 |
| deepstream-generate-pipeline(same repository) | nvidia | Build DeepStream GStreamer pipelines interactively. Use when the user asks about pipelines for video/image in… | 3,735 | 2026-10-26 |
| deepstream-import-vision-model(same repository) | nvidia | Use this skill to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVID… | 3,735 | 2026-10-26 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about tao-analyze-gaps-visual-changenet
- What does tao-analyze-gaps-visual-changenet do?
- Performs gap analysis on NVIDIA TAO VCN Classify experiments by running the pinned TAO data-services container via `docker run … gap_analysis vcn_aoi …`. It picks the optimal decision threshold, ranks per-sample weaknesses, and emits a top-K weakest parquet file for downstream augmentation.
- How do I install tao-analyze-gaps-visual-changenet?
- Run npx skills add NVIDIA/skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes tao-analyze-gaps-visual-changenet?
- nvidia.
- Is tao-analyze-gaps-visual-changenet maintained, and what licence does it use?
- Its repository has 3,735 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-26. The repository declares the Apache-2.0 licence.
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