Configure G1 Sim2real
EGalahad/sim2real
Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.
Model Hub — download pre-exported models from Qualcomm AI Hub, run inference on-device, and export them to App Builder as ready-to-import Packs.
Install Model Hub
$ npx skills add qualcomm/qai-appbuilder --skill model-hub -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qualcomm/qai-appbuilder model-hub --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/qualcomm/qai-appbuilder.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/qaiappbuilder/factory/chat_features/model-hub .claude/skills/model-hub && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "model-hub" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hub into .claude/skills/model-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-hub", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hubType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add qualcomm/qai-appbuilder --skill model-hub -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qualcomm/qai-appbuilder model-hub --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualcomm/qai-appbuilder.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tools/qaiappbuilder/factory/chat_features/model-hub .agents/skills/model-hub && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "model-hub" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hub into .agents/skills/model-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-hub", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qualcomm/qai-appbuilder --skill model-hub -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qualcomm/qai-appbuilder model-hub --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualcomm/qai-appbuilder.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tools/qaiappbuilder/factory/chat_features/model-hub .cursor/skills/model-hub && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "model-hub" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hub into .cursor/skills/model-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-hub", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/qualcomm/qai-appbuilder.git --path tools/qaiappbuilder/factory/chat_features/model-hub--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add qualcomm/qai-appbuilder --skill model-hub -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qualcomm/qai-appbuilder model-hub --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualcomm/qai-appbuilder.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tools/qaiappbuilder/factory/chat_features/model-hub .gemini/skills/model-hub && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "model-hub" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hub into .gemini/skills/model-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-hub", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install qualcomm/qai-appbuilder model-hubInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add qualcomm/qai-appbuilder --skill model-hub -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/qualcomm/qai-appbuilder.git skills-src && mkdir -p .github/skills && cp -r skills-src/tools/qaiappbuilder/factory/chat_features/model-hub .github/skills/model-hub && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "model-hub" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hub into .github/skills/model-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-hub", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add qualcomm/qai-appbuilder --skill model-hub -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install qualcomm/qai-appbuilder model-hub --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/qualcomm/qai-appbuilder.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tools/qaiappbuilder/factory/chat_features/model-hub .opencode/skills/model-hub && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "model-hub" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/qaiappbuilder/factory/chat_features/model-hub into .opencode/skills/model-hub/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "model-hub", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
model-hub- GitHub stars
- 246
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,172 words
- Files
- 13 (incl. scripts, references)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Model Hub — download pre-exported models from Qualcomm AI Hub, run inference on-device, and export them to App Builder as ready-to-import Packs.
- Works in 10 steps: Detect Platform (MANDATORY) → 5 — Check Model Notes (MANDATORY) → Look Up the Model → …
- The user wants to use an AI Hub prebuilt package (.bin / .dlc / ONNX) without doing custom conversion
- SKILL.md covers ✋ Pre-Flight Self-Check…, 🤖 Sub-Agent Dispatch, Decision Prerequisites and Trigger Phrases, plus 13 more sections
- Runs Python scripts from its folder; calls curl
What it does
Model Hub is an agent skill from qualcomm/qai-appbuilder. Model Hub — download pre-exported models from Qualcomm AI Hub, run inference on-device, and export them to App Builder as ready-to-import Packs. Use this skill when the user wants to use an AI Hub prebuilt package (.bin / .dlc / ONNX) without doing custom conversion. NOT for self-converted models — use model-builder skill instead.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 20 other files, including scripts and reference files (for example `models/beit/NOTES.md`, `models/beit/infer_beit.py` and `models/inception_v3/NOTES.md`).
It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with ONNX. The repository describes itself as: QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified…
When your agent uses it
- The user wants to use an AI Hub prebuilt package (.bin / .dlc / ONNX) without doing custom conversion
- Tasks that involve Model hubs and datasets
Example prompts
- “/model-hub”
Requirements
- Python 3
Workflow steps
10 steps, taken from the step headings in SKILL.md.
- Detect Platform (MANDATORY)
- 5 — Check Model Notes (MANDATORY)
- Look Up the Model
- Choose Format
- Download & Extract
- Read metadata.json (MANDATORY)
- Run Inference
- Interpret Results
- 5 — Normalize to App Builder contract (MANDATORY)
- Export app_pack + Promote (optional)
What it can do on your machine
Read from SKILL.md and the folder at commit 700121f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Model Hub loads about 3.3k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 87 tokens; SKILL.md has 1,172 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,172 words (~3,289 tokens).
“When dispatching a sub-agent to this skill → read the full template first: references/dispatch-template.md”
- name
- model-hub
- tags
- aihub, model-hub, inference, qualcomm, on-device, qnn, tts, asr, classification, export, app-builder
- use_for
- Download pre-exported models from AI Hub, run inference on Snapdragon X Elite / X2 Elite without conversion, then always normalize the download into the App…
- homepage
- https://aihub.qualcomm.com/compute/models
Files
SKILL.md and 12 other files (scripts, references) in tools/qaiappbuilder/factory/chat_features/model-hub of qualcomm/qai-appbuilder.
- SKILL.md
- models/beit/NOTES.md
- models/beit/infer_beit.py
- models/inception_v3/NOTES.md
- models/melotts_zh/NOTES.md
- models/melotts_zh/infer_melotts_zh.py
- models/resnet50/NOTES.md
- models/zipformer/NOTES.md
- models/zipformer/infer_zipformer.py
- references/dispatch-template.md
- references/known-issues.md
- references/workflow-details.md
- scripts/aihub_to_manifest.py
Open the folder on GitHubat commit 700121f
Compare with similar skills
Model Hub next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Model Hub this skillqualcomm/qai-appbuilder | 246 | — | ~3.3k | Automated safety check: Pass | Custom licence | |
| Configure G1 Sim2realEGalahad/sim2real | 145 | — | ~1.5k | Automated safety check: Pass | None | |
| Xybrid Initxybrid-ai/xybrid | 466 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Community Model ConversionRisorseArtificiali/anti-vocale | 117 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Quark Torch Exportamd/Quark | 181 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Publish Modelayutaz/piper-plus | 220 | — | ~1.1k | Automated safety check: Pass | MIT |
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xybrid-ai/xybrid
Generate model metadata for an ML model so it works with xybrid.
Community Model Conversion
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Convert a HuggingFace ASR fine-tune into a sherpa-onnx external model, publish it, and add it to the Anti-Vocale community catalog.
Quark Torch Export
amd/Quark
Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run.
Publish Model
ayutaz/piper-plus
学習済み Lightning checkpoint (.ckpt) を ONNX export → sanity check → RTF benchmark → HuggingFace upload まで連鎖実行する read-mostly skill。
Quark Torch Ptq
amd/Quark
Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request…
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Related
Works with
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Questions about Model Hub
What does Model Hub do?
Model Hub — download pre-exported models from Qualcomm AI Hub, run inference on-device, and export them to App Builder as ready-to-import Packs. Model Hub is an agent skill from qualcomm/qai-appbuilder. Model Hub — download pre-exported models from Qualcomm AI Hub, run inference on-device, and export them to App Builder as ready-to-import Packs.
When should I use Model Hub?
Model Hub fits situations like: the user wants to use an AI Hub prebuilt package (.bin / .dlc / ONNX) without doing custom conversion; tasks that involve Model hubs and datasets.
How do I install Model Hub in Claude Code?
Run `npx skills add qualcomm/qai-appbuilder --skill model-hub -a claude-code`. Or copy the skill folder (tools/qaiappbuilder/factory/chat_features/model-hub in qualcomm/qai-appbuilder) into .claude/skills/model-hub in your project. Claude Code loads it when a task matches its description.
How do I install Model Hub in Codex?
Run `npx skills add qualcomm/qai-appbuilder --skill model-hub -a codex`. Or copy the skill folder (tools/qaiappbuilder/factory/chat_features/model-hub in qualcomm/qai-appbuilder) into .agents/skills/model-hub in your project. Codex loads it when a task matches its description.
Can I use Model Hub in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qualcomm/qai-appbuilder --skill model-hub -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/model-hub, .gemini/skills/model-hub, .github/skills/model-hub and .opencode/skills/model-hub in your project.
What does Model Hub need to run?
Going by SKILL.md and its folder, Model Hub needs Python for the scripts in its folder and the command-line tools its instructions call (curl). Our summary lists: Python 3.
Does Model Hub access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Model Hub safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Model Hub use?
Model Hub has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Model Hub use?
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.3k tokens, read only when the agent opens those files.
What are the alternatives to Model Hub?
Skills that share tags, products or a category with Model Hub: Configure G1 Sim2real (EGalahad/sim2real, 145 stars), Xybrid Init (xybrid-ai/xybrid, 466 stars), Community Model Conversion (RisorseArtificiali/anti-vocale, 117 stars) and Quark Torch Export (amd/Quark, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Model Hub?
qualcomm (a GitHub organization) maintains it in qualcomm/qai-appbuilder, which has 246 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 8, 2026.
Source: qualcomm/qai-appbuilder on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.