Individual skill
tao-launch-workflow
The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".
skills/tao-launch-workflow/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
- claude-code Repository topic
- codex Repository topic
- coding-agents Repository topic
- cuda Repository topic
- developer-tools Repository topic
- llm Repository topic
- omniverse Repository topic
- tao Declared skill tag
- workflow Declared skill tag
- launch Declared skill tag
- operations Derived category
- legal Derived category
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Browse files
BENCHMARK.mddoc · 7,117 bytesSKILL.mdcore · 19,999 bytesSKILL.mdcore · 19,999 bytesSKILL.mdcore · 19,999 bytesSKILL.mdcore · 19,999 bytesSKILL.mdcore · 19,999 bytesconfig/skillspector-baseline.yamlasset · 1,272 bytesevals/evals.jsonasset · 774 bytesreferences/external-platforms.mddoc · 2,010 bytesreferences/failure-analysis-retry.mddoc · 4,273 bytesreferences/intake-prompts.mddoc · 1,890 bytesreferences/platform-preflight.mddoc · 7,174 bytesreferences/runtime-downloads.mddoc · 745 bytesskill-card.mddoc · 4,785 bytesskill.oms.sigasset · 6,073 bytes
Read excerpt
# TAO Workflow Launch Intake
> **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).
Use this skill before launching any TAO workflow or model action.
For direct invocation, run the complete-checkout check in
`references/platform-preflight.md` before Step 0 or any helper. Individual
skill installs lack shared scripts; stop if the check fails. Use its verified
`TAO_SKILL_BANK_PATH` for every helper.
## Step 0 — Execution Mode: Card Packs (check first)
Before running a multi-stage application workflow inside this conversation,