Embedded AI Deployment
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
Drafts ONNX Runtime release notes from commit history and contributor metadata using named presets for the full runtime or a scoped component.
$ npx skills add microsoft/onnxruntime --skill ort-release-notes -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microsoft/onnxruntime ort-release-notes --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/microsoft/onnxruntime.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.github/skills/ort-release-notes .claude/skills/ort-release-notes && 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 "ort-release-notes" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notes into .claude/skills/ort-release-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-release-notes", 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/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notesType 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 microsoft/onnxruntime --skill ort-release-notes -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microsoft/onnxruntime ort-release-notes --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.github/skills/ort-release-notes .agents/skills/ort-release-notes && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ort-release-notes" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notes into .agents/skills/ort-release-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-release-notes", 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 microsoft/onnxruntime --skill ort-release-notes -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microsoft/onnxruntime ort-release-notes --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.github/skills/ort-release-notes .cursor/skills/ort-release-notes && 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 "ort-release-notes" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notes into .cursor/skills/ort-release-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-release-notes", 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/microsoft/onnxruntime.git --path .github/skills/ort-release-notes--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 microsoft/onnxruntime --skill ort-release-notes -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microsoft/onnxruntime ort-release-notes --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.github/skills/ort-release-notes .gemini/skills/ort-release-notes && 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 "ort-release-notes" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notes into .gemini/skills/ort-release-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-release-notes", 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 microsoft/onnxruntime ort-release-notesInstalls 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 microsoft/onnxruntime --skill ort-release-notes -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .github/skills && cp -r skills-src/.github/skills/ort-release-notes .github/skills/ort-release-notes && 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 "ort-release-notes" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notes into .github/skills/ort-release-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-release-notes", 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 microsoft/onnxruntime --skill ort-release-notes -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microsoft/onnxruntime ort-release-notes --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microsoft/onnxruntime.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.github/skills/ort-release-notes .opencode/skills/ort-release-notes && 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 "ort-release-notes" agent skill from https://github.com/microsoft/onnxruntime/tree/main/.github/skills/ort-release-notes into .opencode/skills/ort-release-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ort-release-notes", 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.
ort-release-notesDrafts ONNX Runtime release notes from commit history and contributor metadata using named presets for the full runtime or a scoped component.
You give a preset name (such as ort, webgpu-plugin-ep or cuda-plugin-ep), the previous release tag and the target ref, and optionally a version or output directory. The agent loads the preset from presets.json, which names the product for readers, the version file and an optional file of git pathspecs; a preset with a paths file runs in scoped mode and otherwise the full mode runs. The preset key itself must not appear in published text.
Version resolves from an explicit input or the preset's version file, and the output directory from an explicit input or a shared pattern built from the preset and version. If contributor artifacts are missing, the agent generates them with tools/python/compile_contributors.py, then writes highlights with PR links and a human-only acknowledgment list into the draft.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit a571b72. 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.
Shell commands in SKILL.md call:
pythongitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From 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.
ONNX Runtime Release Notes loads about 1.6k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 720 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 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); files beside SKILL.md are not scanned.
The full file from microsoft/onnxruntime at commit a571b72, republished under its MIT licence (© microsoft). 720 words, ~1,610 tokens.
.claude/skills/ort-release-notes/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Use this skill to produce a consistent release-note draft from commit history and contributor metadata.
Use this skill when you need to:
Collect these inputs from the user or infer from context:
preset: release profile name (for example, ort, webgpu-plugin-ep, cuda-plugin-ep)base_ref: previous release tagtarget_ref: release commit/tag/branch tipOptional inputs:
version overrideoutput_dir overrideRead preset definitions from presets.json.
The config defines shared output defaults:
outputDirPatterndraftFileNameEach preset defines:
displayName: reader-facing product or component nameversionFilepathsFile (nullable): file of git pathspecs to filter to, one per line. Use :(top) to anchor an entry at repo root.Example presets:
ort (full ONNX Runtime)webgpu-plugin-ep (scoped WebGPU Plugin EP)cuda-plugin-ep (scoped CUDA Plugin EP)The cuda-plugin-ep preset uses the pathspecs in plugin-ep-cuda/paths.txt to scope release-note changes.
displayName whenever the release-note content names the product or component. The preset
key is internal and must not appear in published content.pathsFile, run in scoped mode. Otherwise run full mode.version inputversionFileresolved_output_dir after this step.
The output directory contains contributor artifacts and the release notes draft.
Resolve it in this order:output_dir inputoutputDirPattern rendered with preset name and resolved versiontools/python/compile_contributors.py.--paths-file only when preset has a pathsFile.resolved_output_dir/logs.txt matches base/target before trusting them.resolved_output_dir/detail.csv as the primary source for PR numbers, titles, authors, target commits, and cherry-pick mapping.resolved_output_dir/logs.txt for contributor summary context and base/target verification.git log only as a fallback sanity check when artifacts are present but incomplete or suspect.resolved_output_dir/<draftFileName>.## Highlights## ContributorsdisplayName, not the internal preset key.pathsFile, configuration files, or other release-note-generation implementation
details in the release-note content.detail.csv outputgithub-actions[bot], app/copilot-swe-agent, claude)Full ORT metadata:
python .\tools\python\compile_contributors.py \
--base <previous_tag> \
--target <target_ref> \
--dir <resolved_output_dir>Scoped metadata:
python .\tools\python\compile_contributors.py \
--base <previous_tag> \
--target <target_ref> \
--dir <resolved_output_dir> \
--paths-file <paths_file>Default policy unless release owners override:
output_dir for contributor artifacts, logs, and the release-note draft.© microsoft, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in .github/skills/ort-release-notes of microsoft/onnxruntime.
Open the folder on GitHubat commit a571b72
ONNX Runtime Release Notes 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 |
|---|---|---|---|---|---|---|
| ONNX Runtime Release Notes this skillmicrosoft/onnxruntime | 22k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Embedded AI Deploymentmatlab/agent-skills-playground | 181 | 1 repos | ~3.4k | Automated safety check: Pass | Custom licence | |
| Quark Onnx Installamd/Quark | 181 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Quark Onnx Model Intakeamd/Quark | 181 | — | ~4.3k | Automated safety check: Pass | MIT | |
| Rtvi Cv Customize ModelNVIDIA/skills | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | |
| Matlab Deploy Embedded AImajiayu000/claude-skill-registry | 666 | 1 repos | ~4.6k | Automated safety check: Pass | MIT |
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
amd/Quark
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/Quark
Inspect a target ONNX model and prepare metadata for Quark ONNX PTQ planning.
NVIDIA/skills
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…
majiayu000/claude-skill-registry
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
moeru-ai/airi
Write or rewrite technical text with the rules of ASD-STE100 Simplified Technical English so it is clear, unambiguous, and free of AI slop.
microsoft/onnxruntime
Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs.
microsoft/onnxruntime
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/onnxruntime
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/onnxruntime
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/onnxruntime
Runs and debugs ONNX Runtime tests: Google Test executables for C++ and unittest or pytest for Python, with filters and build-directory guidance.
microsoft/onnxruntime
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.
Categories
Drafts ONNX Runtime release notes from commit history and contributor metadata using named presets for the full runtime or a scoped component. You give a preset name (such as ort, webgpu-plugin-ep or cuda-plugin-ep), the previous release tag and the target ref, and optionally a version or output directory.json, which names the product for readers, the version file and an optional file of git pathspecs; a preset with a paths file runs in scoped mode and otherwise the full mode runs.
ONNX Runtime Release Notes fits situations like: drafting release notes for a full ONNX Runtime release; drafting notes for a scoped release such as the CUDA or WebGPU plugin execution provider; adding PR links to highlight bullets; building a human-only contributor acknowledgment list.
Run `npx skills add microsoft/onnxruntime --skill ort-release-notes -a claude-code`. Or copy the skill folder (.github/skills/ort-release-notes in microsoft/onnxruntime) into .claude/skills/ort-release-notes in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microsoft/onnxruntime --skill ort-release-notes -a codex`. Or copy the skill folder (.github/skills/ort-release-notes in microsoft/onnxruntime) into .agents/skills/ort-release-notes 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 microsoft/onnxruntime --skill ort-release-notes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ort-release-notes, .gemini/skills/ort-release-notes, .github/skills/ort-release-notes and .opencode/skills/ort-release-notes in your project.
Going by SKILL.md and its folder, ONNX Runtime Release Notes needs the command-line tools its instructions call (python and git). Our summary lists: A checkout of the onnxruntime repository with release tags; Python to run tools/python/compile_contributors.py.
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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. Review the folder before installing.
ONNX Runtime Release Notes is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with ONNX Runtime Release Notes: Embedded AI Deployment (matlab/agent-skills-playground, 181 stars), Quark Onnx Install (amd/Quark, 181 stars), Quark Onnx Model Intake (amd/Quark, 181 stars) and Rtvi Cv Customize Model (NVIDIA/skills, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microsoft (a GitHub organization, an official publisher) maintains it in microsoft/onnxruntime, which has 22,035 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.
Source: microsoft/onnxruntime on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.