Individual skill
tao-finetune-cosmos-embed
Cosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".
skills/tao-finetune-cosmos-embed/SKILL.md
Source commit fce3cca4170be75e82c64920654d56ee2811b005
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 3,906
- Repository last updated
- Nov 6, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
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- codex Repository topic
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- cuda Repository topic
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- omniverse Repository topic
- video Declared skill tag
- vision-language Declared skill tag
- vlm Declared skill tag
- multimodal Declared skill tag
- retrieval Declared skill tag
- embedding Declared skill tag
- cosmos Declared skill tag
- fine-tuning Declared skill tag
- engineering Derived category
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Browse files
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Read excerpt
# Cosmos-Embed
> **Standalone install?** If this session was not initialized by the TAO skill bank plugin, run the `tao-setup` skill first (host preflight, credentials, cross-skill discovery).
Cosmos-Embed1 is a joint video-text embedder for text-to-video retrieval, video-to-video search, zero-shot/kNN classification, and semantic deduplication. The packaged CLI is `cosmos-embed1` and supports `train`, `evaluate`, `inference`, and `export`.
Container image and per-action commands are in `references/skill_info.yaml`. Compact starting specs are in `references/spec_template_*.yaml`.
## Train Action Policy
AutoML is not packaged for this model skill because there are no Cosmos-Embed schemas under `schemas/`. Always use the direct model skill actions for `train`, `evaluate`, `inference`, and `export`, even when a higher-level request includes `automl_policy: on`. Do not route Cosmos-Embed through workflow or AutoML skills until model-specific train schemas and templates are added.
Non-train actions such as `evaluate`, `inference`, `export`, and deploy flows stay in this model skill. The per-run `automl_policy` override does not change model metadata.
