qai-appbuilder-docs
qai-appbuilder-docs is a Doc lookup & research skill for AI agents, published by qualcomm in the qai-appbuilder repository on GitHub. Skillspace rates qai-appbuilder-docs C (74/100) and it passed the safety scan; the rating is based on static analysis only.
QAI AppBuilder technical documentation retrieval. Find guides on installation, Python/C++ APIs, and model deployment examples. QAI AppBuilder is a rapid AI application development framework designed to simplify the deployment of QNN models on NPU (HTP) across Qualcomm(高通) Windows on Snapdragon, Android, and Linux platforms. This tool is highly suitable for deploying classic models (all types of models except large language models can be deployed via QAI AppBuilder), such as real_esrgan_x4plus, inception_v3, beit, easy_ocr, and whisper_base_en. This tool is only applicable for loading QNN (*.bin) format models and performing inference, and is not suitable for converting model formats.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 184
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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