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ONNX
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Lints and formats C++ and Python code in the ONNX Runtime repository with lintrunner, clang-format and ruff, preferring a pass over only the changed files. | microsoft/ | 22k | — | ~392 | Automated safety check: Pass | MIT | today |
| 50 | Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects. | matlab/ | 1.1k | — | ~2.8k | Automated safety check: Pass | Unknown | 2 days ago |
| 51 | Complete toolkit for Huawei Ascend NPU model conversion and end-to-end inference adaptation. | ascend-ai-coding/ | 174 | — | ~4.6k | Automated safety check: Pass | No licence | yesterday |
| 52 | Pitfalls for editing an ONNX Runtime header shared by in-tree and plugin-bridge code: the Node forward-declaration trap and keeping workspace math free of graph types. | microsoft/ | 22k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 53 | Install or verify the AMD Quark package and its dependencies. | amd/ | 182 | — | ~1.8k | Automated safety check: Notes | MIT | 13 days ago |
| 54 | Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX… | dotnet/ | 5.6k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 55 | Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests. | microsoft/ | 22k | — | ~486 | Automated safety check: Pass | MIT | today |
| 56 | 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/ | 182 | — | ~3.4k | Automated safety check: Pass | MIT | 13 days ago |
| 57 | Diagnose failed Quark ONNX installation, calibration, quantization, custom-op compilation, or export attempts. | amd/ | 182 | — | ~4.8k | Automated safety check: Pass | MIT | 13 days ago |
| 58 | Computer vision engineering skill for object detection, image segmentation, and visual AI systems. | alirezarezvani/ | 28k | 1 repo | ~3.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 59 | Run OpenMed models fully on-device with the MLX (Apple Silicon), CoreML (iOS/macOS), or ONNX/WebGPU (cross-platform/browser) backends, including convert-quantize-run workflows. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 60 | Compare ONNX skill contracts and guidance against current Quark ONNX documentation and source entry points. | amd/ | 182 | — | ~3k | Automated safety check: Pass | MIT | 13 days ago |
| 61 | 推論パスの canonical Python (exportonnx.py / vits/models.py:VitsModel.infer) を変更した PR で、6 ランタイム (Python runtime / Rust / Go / C / C++ / WASM) の inference path が追随しているかを git diff で確認。PR | ayutaz/ | 234 | — | ~972 | Automated safety check: Pass | MIT | yesterday |
| 62 | Manually verify that the Quark ONNX skill family behaves correctly across the four contract categories (routing, planning, artifact, recovery). | amd/ | 182 | — | ~2.8k | Automated safety check: Pass | MIT | 13 days ago |
| 63 | Install or verify the correct ONNX Runtime build (and the onnx package) for a user's accelerator backend before Quark's ONNX-to-ONNX flow. | amd/ | 182 | — | ~3.2k | Automated safety check: Pass | MIT | 13 days ago |
| 64 | 64.Legal OCR 本技能应在用户需要 OCR、扫描识别、图片文字识别、文档识别,或将 PDF、图片、Office 文档、URL 转换为 Markdown 时使用。检测到法律材料时可进行保守的法律术语与文书结构优化。不要用于法律事实判断、补写缺失内容、语义改写、印章深度识别或图表实体分析。 | cat-xierluo/ | 720 | — | ~2.3k | Automated safety check: Notes | MIT | yesterday |
| 65 | 65.Local Asr 使用本地 ASR 服务将音频或视频文件转录为带时间戳和说话人的 Markdown,Apple Silicon 默认使用 MOSS-MLX,保留 FunASR 原生及 ONNX 管线供显式选择;支持认领式声纹注册,本人声纹注册后自动识别标注。支持 mp4、mov、mp3、wav、m4a 等格式;用于会议记录、电话录音、视频字幕和播客转录。 | cat-xierluo/ | 720 | — | ~5.8k | Automated safety check: Pass | MIT | yesterday |
| 66 | Inspect a target ONNX model and prepare metadata for Quark ONNX PTQ planning. | amd/ | 182 | — | ~4.3k | Automated safety check: Pass | MIT | 13 days ago |
| 67 | Bridge Claude Code auto-memory into AgentDB with ONNX embeddings, deduplicate, and enable unified cross-project search | ruvnet/ | 74k | — | ~601 | Automated safety check: Notes | MIT | yesterday |
| 68 | 68.Vector Embed Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index | ruvnet/ | 74k | — | ~591 | Automated safety check: Notes | MIT | yesterday |
| 69 | 69.Vector Setup First-run setup for ruvector@0.2.25 — installs ONNX/Brain/SONA add-ons, registers the MCP server, and verifies the install via doctor | ruvnet/ | 74k | — | ~721 | Automated safety check: Notes | MIT | yesterday |
| 70 | A skill your agent uses to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors… | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 71 | Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Pass | Proprietary | yesterday |
| 72 | End-to-end ONNX PTQ workflow for AMD Quark — from a .onnx file (and calibration data) to a quantized .onnx output. | amd/ | 182 | — | ~4.5k | Automated safety check: Pass | MIT | 13 days ago |
| 73 | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 74 | InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 75 | 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。 | ayutaz/ | 234 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 76 | Build a Quark ONNX PTQ quantization plan from modelanalysis.json and user intent. | amd/ | 182 | — | ~4.8k | Automated safety check: Pass | MIT | 13 days ago |
| 77 | 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/ | 182 | — | ~2.5k | Automated safety check: Pass | MIT | 13 days ago |
| 78 | Route Quark ONNX user goals to the correct atomic skill. An agent skill from amd/Quark. | amd/ | 182 | — | ~2.7k | Automated safety check: Pass | MIT | 13 days ago |
| 79 | Apply existing ShapeShifter graph passes to an .onnx model via the quark-cli shapeshifter CLI or a ShapeShifter YAML. | amd/ | 182 | — | ~1.9k | Automated safety check: Pass | MIT | 13 days ago |
| 80 | Detect upstream Quark ONNX changes that affect the ONNX skill family and classify required updates. | amd/ | 182 | — | ~3.3k | Automated safety check: Pass | MIT | 13 days ago |
| 81 | Partition an ONNX model graph into named functional subgraphs and emit a subgraphpartition.json file. | amd/ | 182 | — | ~2.7k | Automated safety check: Pass | MIT | 13 days ago |
| 82 | Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run. | amd/ | 182 | — | ~1.5k | Automated safety check: Pass | MIT | 13 days ago |
| 83 | L3 recipe that runs a Torch LLM PTQ end-to-end for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize → validate → evaluate. | amd/ | 182 | — | ~2.6k | Automated safety check: Pass | MIT | 13 days ago |
| 84 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 1.1k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 85 | Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch. | amd/ | 182 | — | ~3.5k | Automated safety check: Notes | MIT | 13 days ago |
| 86 | 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… | amd/ | 182 | — | ~2.3k | Automated safety check: Pass | MIT | 13 days ago |
| 87 | How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT… | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 88 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 89 | Computer vision engineering for object detection, segmentation, and visual AI, covering CNN and Vision Transformer architectures and ONNX/TensorRT deployment. | borghei/ | 891 | — | ~1.8k | Automated safety check: Pass | MIT | 4 days ago |
| 90 | 优化实际模型推理链路,将正确性对齐、分段 profiling、显存与数据搬运、TensorRT/ONNX/PyTorch 后端、attention/kernel、FP8/compile、缓存与少步采样、质量回归、GPU 成本和服务验收串成同一实验闭环。当用户要求推理提速、降低显存或 GPU 成本、复现模型效果、定位 GPU 利用率低、优化图像/视频/扩散模型或自托管 LLM 时使用,提供… | majiayu000/ | 287 | — | ~1.1k | Automated safety check: Pass | MIT | 2 days ago |
| 91 | Convert onnx converter operations. An agent skill from jeremylongshore/tons-of-skills-marketplace. | jeremylongshore/ | 2.8k | — | ~544 | Automated safety check: Pass | MIT | yesterday |
| 92 | A skill your agent uses when selecting Sentence Transformers inference backends or exporting/optimizing models for PyTorch, ONNX, or OpenVINO. | VectorSpaceLab/ | 331 | — | ~766 | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 93 | Build ONNX export and validation commands, package/load timm models via Hugging Face Hub or local directories, use Torch Hub compatibility, and safely clean or average checkpoints. | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 94 | 94.Parakeet Stt Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). | sundial-org/ | 663 | — | ~771 | Automated safety check: Pass | No licence | 7 mo ago |
| 95 | 95.Re AI Model AI 模型文件逆向与静态分析:ONNX/PyTorch/Safetensors/TFLite 格式解析、 网络结构还原、权重提取、文件级水印分析(权重 pattern/metadata/tensor hash/embedding 异常)。 | dslsdzc/ | 135 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | 6 days ago |
| 96 | Stand up a complete, ready-to-run computer-vision analytics stack on Intel hardware with one Docker Compose command — point it at your video sources and an OpenVINO/ONNX model to get live annotated… | open-edge-platform/ | 140 | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | yesterday |