Quark Torch Quant Perf
amd/Quark
Run, resume, monitor, diagnose, and report Quark Quant-Perf workflows for PyTorch and HuggingFace transformers models.
AIPC, AI Porting Conversion. An agent skill from qualcomm/qai-appbuilder.
$ npx skills add qualcomm/qai-appbuilder --skill aipc-toolkit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install qualcomm/qai-appbuilder aipc-toolkit --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/skills/qai-runner-skill .claude/skills/aipc-toolkit && 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 "aipc-toolkit" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/skills/qai-runner-skill into .claude/skills/aipc-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aipc-toolkit", 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/skills/qai-runner-skillType 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 aipc-toolkit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install qualcomm/qai-appbuilder aipc-toolkit --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/skills/qai-runner-skill .agents/skills/aipc-toolkit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aipc-toolkit" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/skills/qai-runner-skill into .agents/skills/aipc-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aipc-toolkit", 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 aipc-toolkit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install qualcomm/qai-appbuilder aipc-toolkit --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/skills/qai-runner-skill .cursor/skills/aipc-toolkit && 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 "aipc-toolkit" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/skills/qai-runner-skill into .cursor/skills/aipc-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aipc-toolkit", 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/skills/qai-runner-skill--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 aipc-toolkit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install qualcomm/qai-appbuilder aipc-toolkit --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/skills/qai-runner-skill .gemini/skills/aipc-toolkit && 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 "aipc-toolkit" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/skills/qai-runner-skill into .gemini/skills/aipc-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aipc-toolkit", 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 aipc-toolkitInstalls 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 aipc-toolkit -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/skills/qai-runner-skill .github/skills/aipc-toolkit && 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 "aipc-toolkit" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/skills/qai-runner-skill into .github/skills/aipc-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aipc-toolkit", 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 aipc-toolkit -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 aipc-toolkit --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/skills/qai-runner-skill .opencode/skills/aipc-toolkit && 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 "aipc-toolkit" agent skill from https://github.com/qualcomm/qai-appbuilder/tree/main/tools/skills/qai-runner-skill into .opencode/skills/aipc-toolkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aipc-toolkit", 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.
aipc-toolkitAIPC, AI Porting Conversion. An agent skill from qualcomm/qai-appbuilder.
Aipc Toolkit is an agent skill from qualcomm/qai-appbuilder. AIPC, AI Porting Conversion. Tools and workflows for QAIRT/AIPC project setup, model conversion, inspection, operator patching, quantization, context-binary generation, and inference on Qualcomm platforms. Use this skill when creating or initializing an AIPC project, exporting AI models to ONNX, converting ONNX models to QNN or SNPE/DLC, converting models to FP16/FP32, patching unsupported operators, generating context binaries, or implementing inference for QNN/SNPE DLC.
Its SKILL.md is about 5.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 58 other files, including scripts, reference files and assets (for example `README.md`, `assets/plan.md` and `assets/qai_AGENTS.md`).
It sits in AI & LLM Engineering, covering LLM inference and serving. 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…
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 700121f. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
pythonrsyncuvsshpython3curlshFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
astral.shFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Aipc Toolkit loads about 5.7k tokens when it runs, and up to ~127k if it reads all its reference files. Until then it costs about 122 tokens; SKILL.md has 2,361 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
curl -LsSf https://astral.sh/uv/install.sh | sh # install uv if not presentAutomated 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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,361 words (~5,690 tokens).
“Always activate this skill when the user mentions:”
SKILL.md and 55 other files (scripts, references, assets) in tools/skills/qai-runner-skill of qualcomm/qai-appbuilder.
Open the folder on GitHubat commit 700121f
Aipc Toolkit 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 |
|---|---|---|---|---|---|---|
| Aipc Toolkit this skillqualcomm/qai-appbuilder | 246 | — | ~5.7k | Automated safety check: Notes | Custom licence | |
| Quark Torch Quant Perfamd/Quark | 181 | — | ~3k | Automated safety check: Pass | MIT | |
| Quark Onnx Autosearch Proamd/Quark | 181 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Quark Onnx Quant Planamd/Quark | 181 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Quark Onnx Result Validatoramd/Quark | 181 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Quark Onnx Routeramd/Quark | 181 | — | ~2.7k | Automated safety check: Pass | MIT |
amd/Quark
Run, resume, monitor, diagnose, and report Quark Quant-Perf workflows for PyTorch and HuggingFace transformers models.
amd/Quark
L3 recipe that runs quark.onnx.AutoSearchPro end-to-end on a user .onnx model: intake → preset selection (or custom search space) → calibration / eval data reader → standalone autosearch script…
amd/Quark
Build a Quark ONNX PTQ quantization plan from modelanalysis.json and user intent.
amd/Quark
Validate Quark ONNX quantization output using four lightweight checks: auxiliary file copy alignment, expected non-quantized initializer MD5 byte-identity (inline rawdata + external-data byte…
amd/Quark
Route Quark ONNX user goals to the correct atomic skill. An agent skill from amd/Quark.
amd/Quark
Detect upstream Quark ONNX changes that affect the ONNX skill family and classify required updates.
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.
qualcomm/qai-appbuilder
QAI ModelBuilder. An agent skill from qualcomm/qai-appbuilder.
qualcomm/qai-appbuilder
App Builder — generate complete, runnable fullstack WebUI applications (FastAPI backend + pure HTML/CSS/JS frontend) around on-device AI Model Packs (OCR, TTS, ASR, Super-Resolution, etc.).
qualcomm/qai-appbuilder
Generate fully editable, high-quality PPTX with python-pptx based on the user's topic, materials, or business goals; defaults to a general-purpose "dark gilded elegant" visual system, with adaptive…
qualcomm/qai-appbuilder
Fetch and summarize academic papers from arxiv.org. An agent skill from qualcomm/qai-appbuilder.
qualcomm/qai-appbuilder
A skill your agent uses when working with the browser tool — navigating or inspecting a page, clicking through a flow, filling and submitting a form, acting inside a logged-in session, or…
Works with
Categories
AIPC, AI Porting Conversion. An agent skill from qualcomm/qai-appbuilder. Aipc Toolkit is an agent skill from qualcomm/qai-appbuilder. AIPC, AI Porting Conversion.
Aipc Toolkit fits situations like: initializing an AIPC project; exporting AI models to ONNX; converting ONNX models to QNN; converting models to FP16/FP32.
Run `npx skills add qualcomm/qai-appbuilder --skill aipc-toolkit -a claude-code`. Or copy the skill folder (tools/skills/qai-runner-skill in qualcomm/qai-appbuilder) into .claude/skills/aipc-toolkit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add qualcomm/qai-appbuilder --skill aipc-toolkit -a codex`. Or copy the skill folder (tools/skills/qai-runner-skill in qualcomm/qai-appbuilder) into .agents/skills/aipc-toolkit in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add qualcomm/qai-appbuilder --skill aipc-toolkit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aipc-toolkit, .gemini/skills/aipc-toolkit, .github/skills/aipc-toolkit and .opencode/skills/aipc-toolkit in your project.
Going by SKILL.md and its folder, Aipc Toolkit needs the command-line tools its instructions call (python, rsync, uv, ssh, python3 and curl). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: astral.sh; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pipes a well-known installer script into a shell), nothing it rates as a warning. 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.
Aipc Toolkit has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 5.7k tokens (SKILL.md is roughly 23k 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 122k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Aipc Toolkit: Quark Torch Quant Perf (amd/Quark, 181 stars), Quark Onnx Autosearch Pro (amd/Quark, 181 stars), Quark Onnx Quant Plan (amd/Quark, 181 stars) and Quark Onnx Result Validator (amd/Quark, 181 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.