Individual skill
tao-run-on-brev
Run a TAO training/evaluation/inference container on an NVIDIA Brev GPU instance. Instance provisioning (create/search/stop/delete/login) is delegated to the official brev-cli agent skill or the Brev MCP server; this skill covers only the TAO-specific part — running the container over `brev exec` via the four-verb docker contract. Trigger phrases include "run on Brev", "Brev GPU instance", "TAO on Brev", "submit job to Brev".
skills/tao-run-on-brev/SKILL.md
Source commit 25340619336e89bcc40365c28bfe9e790430468e
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- Not checked yet
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 3,901
- 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
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- gpu Declared skill tag
- compute Declared skill tag
- instance-based Declared skill tag
- brev Declared skill tag
- legal Derived category
- devops Derived category
- devops-containers Derived category
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BENCHMARK.mddoc · 7,112 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesSKILL.mdcore · 8,315 bytesconfig/skillspector-baseline.yamlasset · 1,192 bytesevals/evals.jsonasset · 771 bytesreferences/skill_info.yamlasset · 439 bytesskill-card.mddoc · 4,631 bytesskill.oms.sigasset · 5,073 bytes
Read excerpt
# Brev — TAO execution glue
> **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).
NVIDIA Brev provides on-demand GPU instances (pre-loaded with NVIDIA drivers,
CUDA, Docker, and the NVIDIA Container Toolkit). Brev is **instance-based**: you
provision an instance, run commands on it over `brev exec`, and delete it when
done.
This skill is deliberately thin. **Provisioning and managing instances — create,
search by GPU/price, start/stop, delete, login — is owned by NVIDIA Brev's own
agent skill, not duplicated here.** This skill covers only the TAO-specific part:
running a TAO container on a reached instance through the **four-verb docker
contract**, deferring the container-how to `tao-run-on-docker` over `brev exec`.