Library
ONNX agent skills for Claude Code, Codex and other agents.
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- 100
- official
- 23
ONNX skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (23 skills)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs. | microsoft/ | 22k | — | ~3.3k | Automated safety check: Pass | MIT | today |
| 2 | Explains why editing CUTLASS fused-MHA headers in ONNX Runtime can leave stale CUDA kernels after an incremental build, and how to force and verify a real rebuild. | microsoft/ | 22k | — | ~1.3k | Automated safety check: Pass | MIT | today |
| 3 | Builds ONNX Runtime from source with its build scripts, explaining the update, build and test phases, key flags and where the build output lands. | microsoft/ | 22k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 4 | Triggers, re-runs and unblocks the CI checks on an ONNX Runtime pull request, after diagnosing whether a failure is transient or needs a code change. | microsoft/ | 22k | — | ~4.1k | Automated safety check: Pass | MIT | today |
| 5 | Drafts ONNX Runtime release notes from commit history and contributor metadata using named presets for the full runtime or a scoped component. | microsoft/ | 22k | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 6 | Runs and debugs ONNX Runtime tests: Google Test executables for C++ and unittest or pytest for Python, with filters and build-directory guidance. | microsoft/ | 22k | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 7 | Runs the ONNX Runtime transformers Python tests against a GPU wheel and proves the cuDNN flash attention path was used rather than a silent fallback. | microsoft/ | 22k | — | ~2.9k | Automated safety check: Pass | MIT | today |
| 8 | Shows how to replace unsafe hasattr and setattr loops over user-controlled kwargs with an explicit allowlist when configuring ONNX Runtime option objects. | microsoft/ | 22k | — | ~737 | Automated safety check: Pass | MIT | today |
| 9 | Shows how to build and run ONNX Runtime WebGPU provider tests on Linux with no GPU, using the Mesa lavapipe software Vulkan adapter, and where that approach falls short. | microsoft/ | 22k | — | ~1.4k | Automated safety check: Pass | MIT | today |
| 10 | Patterns and pitfalls for the ONNX-domain Attention operator's CUDA implementation in ONNX Runtime: dispatch cascade, eligibility limits, mask and bias kernels, and test routing. | microsoft/ | 22k | — | ~6.5k | Automated safety check: Pass | MIT | today |
| 11 | A checklist for upgrading the pinned ONNX version and opset in ONNX Runtime, covering the files to change, archive hashes, patch rebasing and release-candidate handling. | microsoft/ | 22k | — | ~12k | Automated safety check: Pass | MIT | today |
| 12 | 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 |
| 13 | 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 | 2 repos | ~2.1k | Automated safety check: Pass | MIT | today |
| 14 | 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 |
| 15 | 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 |
| 16 | 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/ | 3.5k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | today |
| 17 | Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Pass | Proprietary | today |
| 18 | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.5k | — | ~4k | Automated safety check: Notes | Apache-2.0 | today |
| 19 | InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.5k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | today |
| 20 | 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/ | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 21 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 22 | Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration… | MicrosoftDocs/ | 775 | 1 repo | ~19k | Automated safety check: Pass | CC-BY-4.0 | yesterday |
| 23 | Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. | MicrosoftDocs/ | 775 | — | ~1.6k | Automated safety check: Pass | CC-BY-4.0 | yesterday |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 24 | Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation. | Orchestra-Research/ | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 25 | 25.Add Op Add a new ONNX operator or update an existing operator to a new opset version. | onnx/ | 22k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 26 | Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops. | onnx/ | 22k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 27 | Add or update type and shape inference for an ONNX operator. | onnx/ | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 28 | 28.Onnxtxt Read or write ONNX text format ("onnxtxt"). An agent skill from onnx/onnx. | onnx/ | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 29 | Analyze images, video, speech, motion, products, and websites; route local vision, audio, depth, tracking, matting, identity, and restoration models; auto-edit, replicate, enhance, caption, voice… | MartinDelophy/ | 891 | — | ~7k | Automated safety check: Pass | MIT | today |
| 30 | Transcribe local audio or video with Volcengine Doubao file ASR, including BigASR 1.0 Turbo direct upload and asynchronous 1.0 standard, 1.0 idle, or 2.0 standard jobs through TOS. | ysyecust/ | 269 | — | ~783 | Automated safety check: Pass | Unknown | 4 days ago |
| 31 | AivisSpeech Engine の Sentry issue を調査し、修正すべきエンジン側の不具合と、入力値・ローカル環境・外部サービス由来のノイズを切り分けるためのスキルです。Sentry 側で既知ノイズを永続アーカイブする作業や、voicevoxengine/utility/sentryutility.py と関連テストを更新して既知ノイズを送信前に破棄する作業で使用します。 | Aivis-Project/ | 181 | — | ~545 | Automated safety check: Pass | LGPL-3.0 | 3 days ago |
| 32 | Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real. | EGalahad/ | 145 | — | ~1.5k | Automated safety check: Pass | No licence | 9 days ago |
| 33 | 33.Model Hub 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/ | 246 | — | ~3.3k | Automated safety check: Pass | Unknown | today |
| 34 | A skill your agent uses when building a local Windows WebCode installer from this repo for machine testing, especially when the package must bundle the Kokoro or sherpa-onnx Reply TTS service, model… | shuyu-labs/ | 278 | — | ~787 | Automated safety check: Pass | Unknown | 3 mo ago |
| 35 | Install, convert, debug, and benchmark sim2real ONNX GPU and TensorRT inference backends on onboard JetPack 5 Orin hosts such as g1-cable. | EGalahad/ | 145 | — | ~1.1k | Automated safety check: Pass | No licence | 9 days ago |
| 36 | Design, evaluate, implement, or review image and video generation connectors for Timeline Studio. | MartinDelophy/ | 891 | — | ~989 | Automated safety check: Pass | MIT | today |
| 37 | Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder). | matlab/ | 181 | 1 repo | ~3.4k | Automated safety check: Pass | Unknown | 27 days ago |
| 38 | 38.Test Model Test a model end-to-end using the xybrid execution system. An agent skill from xybrid-ai/xybrid. | xybrid-ai/ | 465 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 39 | Use native WebMCP tools to edit the project open in Timeline Studio. | MartinDelophy/ | 891 | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 40 | 40.Aipc Toolkit AIPC, AI Porting Conversion. An agent skill from qualcomm/qai-appbuilder. | qualcomm/ | 246 | — | ~5.7k | Automated safety check: Notes | Unknown | today |
| 41 | 41.Xybrid Init Generate model metadata for an ML model so it works with xybrid. | xybrid-ai/ | 465 | — | ~3k | Automated safety check: Pass | Apache-2.0 | today |
| 42 | 42.Local Asr 把本地长视频/音频转写成文字稿 + 可选字幕,纯本地(不上传云端),用 sherpa-onnx X-ASR Zipformer transducer 模型(int8 量化、中英双语、自动标点)。已在 macOS Apple Silicon(int8 + AMX,~100× 实时)、Linux ARM64(CPU,~32× 实时)与 Windows(PowerShell… | ysyecust/ | 269 | — | ~1.6k | Automated safety check: Pass | Unknown | 4 days ago |
| 43 | 43.Model Scout A skill your agent uses when the user asks to "scout for new models", "check for model updates", "find better ASR models", "check sherpa-onnx releases", "look for new Whisper models", "search… | RisorseArtificiali/ | 117 | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 44 | Exports and validates Physical AI Studio policies for Runtime deployment. | open-edge-platform/ | 128 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 45 | 45.Vera Code search over the current repository. An agent skill from VeraTools/vera. | VeraTools/ | 118 | — | ~1.2k | Automated safety check: Pass | MIT | 7 days ago |
| 46 | QAI ModelBuilder. An agent skill from qualcomm/qai-appbuilder. | qualcomm/ | 246 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | today |
| 47 | Adapt a policy trained in any external codebase into the sim2real codebase for integrated sim2sim/deploy by tracing the training observation/action implementation, exporting one complete ONNX… | EGalahad/ | 145 | — | ~3.4k | Automated safety check: Pass | No licence | 9 days ago |
| 48 | Explains where HOT-Step generation time goes (LM/DiT/VAE), how the TensorRT paths activate, how to benchmark from logs, and which knobs trade quality for speed. | scragnog/ | 170 | — | ~4.9k | Automated safety check: Pass | MIT | 2 days ago |
Questions, answered from the data.
What is the best ONNX skill?
ONNX Runtime Shape Inference Safety Audit (official) from microsoft/onnxruntime ranks first of the 100 ONNX skills listed here, with the highest score: its repository has 22k GitHub stars, its SKILL.md loads about 3.3k tokens and it passes the automated safety check with no findings. Next come CUTLASS FMHA Incremental Rebuild and ONNX Runtime Source Build.
Is there an official ONNX skill?
23 of the 100 ONNX skills are official, published by the vendor's own GitHub organization: ONNX Runtime Shape Inference Safety Audit, CUTLASS FMHA Incremental Rebuild, ONNX Runtime Source Build, ONNX Runtime CI Management, ONNX Runtime Release Notes and 18 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.