How do I install the Preset Skill Nvidia skill?

Run npx skillmds@latest add lingtai-ai/preset-skill-nvidia in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Preset Skill Nvidia skill do?

Use when revising the built-in nvidia TUI preset. It is listed under Coding & Dev Tools on SkillMD.

Is Preset Skill Nvidia safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Preset Skill Nvidia?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Preset Skill Nvidia free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Preset Skill Nvidia?

lingtai-ai (@lingtai-ai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Preset Skill Nvidia by lingtai-ai — Agent Skill

Name: Preset Skill Nvidia
Author: lingtai-ai

File contents

nvidia preset revision

Use this child for the named built-in nvidia preset. nvidiaPreset in tui/internal/preset/preset.go:1397 ships the bounded NVIDIA gateway snapshot nvidia/nemotron-3-ultra-550b-a55b, https://integrate.api.nvidia.com/v1, NVIDIA_API_KEY, OpenAI compatibility, web_search, and skills; it has no default vision capability. This is a gateway catalog, not a single NVIDIA model family.

Template-specific settings

Read the official NVIDIA API Catalog, model catalog, and NIM LLM API reference. Use the catalog's exact model slug and, for the selected account, query the authenticated OpenAI-compatible GET https://integrate.api.nvidia.com/v1/models when available. Check the model page for modality and tool support; a VLM in the gateway catalog does not automatically add this preset's vision key. Keep catalog slugs distinct from provider names and never copy a volatile catalog wholesale into the picker.

The curated picker is exactly the reviewed stable snapshot: Nemotron Ultra, Nemotron Super/Nano Omni, DeepSeek v4 pro/flash gateway slugs, Kimi K3, MiniMax M3, Mistral Nemotron, GPT-OSS 20B, and the Nemotron Ultra 253B entry. This is not an all-model universal generation ladder. The kernel's nvidia registration disables prompt_cache_key because NIM rejects that OpenAI-only field.

TUI surfaces to revise

Start at nvidiaPreset in tui/internal/preset/preset.go. Revise providerModels["nvidia"] in tui/internal/tui/preset_editor.go for the exact route-served snapshot. This target is unsupported by the universal two-generation JSON revision engine; maintain it as manual code curation. Do not add modelHasVision entries unless the TUI constructor also wires a verified vision route; recheck the constructor's absent vision capability and explicit base_url/env fields. Follow the gateway exemption and curation rules in tui/internal/tui/SKILL.md and tui/CONTRACT.md.

Reviewed deterministic revision

Prepare an evidence-bound manifest and explicit input, then run lingtai-tui presets revise --manifest PATH --input PATH --mode dry-run|check|apply [--output-dir PATH]. Review the JSON plan, use dry-run/check before apply, and apply only to a new explicit output directory. revision.go validates hashes, route bindings, and evidence and preserves unowned bytes. This amendment is unsupported for universal JSON generation; the constructor and exact picker are manual route-served curation with stock no vision.

Maintenance: If the relevant TUI preset/page is revised, check whether this sub-skill also needs revision and, if so, include it in the same PR.

Operations

For save, endpoint/capability, availability, activation/refresh, or troubleshooting, use the five shared operation children under reference/operations/; this child owns NVIDIA gateway and capability facts.

---name: preset-skill-nvidiadescription: Use when revising the built-in nvidia TUI preset.---# nvidia preset revisionUse this child for the named built-in nvidia preset. nvidiaPreset intui/internal/preset/preset.go:1397 ships the bounded NVIDIA gateway snapshotnvidia/nemotron-3-ultra-550b-a55b, https://integrate.api.nvidia.com/v1,NVIDIA_API_KEY, OpenAI compatibility, web_search, and skills; it has nodefault vision capability. This is a gateway catalog, not a single NVIDIAmodel family.## Template-specific settingsRead the official [NVIDIA API Catalog](https://build.nvidia.com/), [model catalog](https://build.nvidia.com/models),and [NIM LLM API reference](https://docs.api.nvidia.com/nim/reference/llm-apis).Use the catalog's exact model slug and, for the selected account, query theauthenticated OpenAI-compatible GET https://integrate.api.nvidia.com/v1/modelswhen available. Check the model page for modality and tool support; a VLM inthe gateway catalog does not automatically add this preset's vision key.Keep catalog slugs distinct from provider names and never copy a volatilecatalog wholesale into the picker.The curated picker is exactly the reviewed stable snapshot: Nemotron Ultra,Nemotron Super/Nano Omni, DeepSeek v4 pro/flash gateway slugs, Kimi K3,MiniMax M3, Mistral Nemotron, GPT-OSS 20B, and the Nemotron Ultra 253B entry.This is not an all-model universal generation ladder. The kernel's nvidia registration disablesprompt_cache_key because NIM rejects that OpenAI-only field.## TUI surfaces to reviseStart at nvidiaPreset in tui/internal/preset/preset.go. ReviseproviderModels["nvidia"] in tui/internal/tui/preset_editor.go for the exactroute-served snapshot. This target is unsupported by the universaltwo-generation JSON revision engine; maintain it as manual code curation. Donot add modelHasVision entries unless the TUI constructoralso wires a verified vision route; recheck the constructor's absent visioncapability and explicit base_url/env fields. Follow the gateway exemption andcuration rules in tui/internal/tui/SKILL.md and tui/CONTRACT.md.## Reviewed deterministic revisionPrepare an evidence-bound manifest and explicit input, then runlingtai-tui presets revise --manifest PATH --input PATH --mode dry-run|check|apply[--output-dir PATH]. Review the JSON plan, use dry-run/check before apply, andapply only to a new explicit output directory. revision.go validates hashes,route bindings, and evidence and preserves unowned bytes. This amendment isunsupported for universal JSON generation; the constructor and exact pickerare manual route-served curation with stock no vision.Maintenance: If the relevant TUI preset/page is revised, check whether this sub-skill also needs revision and, if so, include it in the same PR.## OperationsFor save, endpoint/capability, availability, activation/refresh, ortroubleshooting, use the five shared operation children under`reference/operations/`; this child owns NVIDIA gateway and capability facts.

Frequently asked questions

Preset Skill Nvidia