Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops.
$ npx skills add onnx/onnx --skill add-function-body -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install onnx/onnx add-function-body --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/onnx/onnx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/add-function-body .claude/skills/add-function-body && 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 "add-function-body" agent skill from https://github.com/onnx/onnx/tree/main/.agents/skills/add-function-body into .claude/skills/add-function-body/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-function-body", 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/onnx/onnx/tree/main/.agents/skills/add-function-bodyType 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 onnx/onnx --skill add-function-body -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install onnx/onnx add-function-body --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/onnx/onnx.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/add-function-body .agents/skills/add-function-body && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "add-function-body" agent skill from https://github.com/onnx/onnx/tree/main/.agents/skills/add-function-body into .agents/skills/add-function-body/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-function-body", 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 onnx/onnx --skill add-function-body -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install onnx/onnx add-function-body --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/onnx/onnx.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/add-function-body .cursor/skills/add-function-body && 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 "add-function-body" agent skill from https://github.com/onnx/onnx/tree/main/.agents/skills/add-function-body into .cursor/skills/add-function-body/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-function-body", 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/onnx/onnx.git --path .agents/skills/add-function-body--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 onnx/onnx --skill add-function-body -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install onnx/onnx add-function-body --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/onnx/onnx.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/add-function-body .gemini/skills/add-function-body && 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 "add-function-body" agent skill from https://github.com/onnx/onnx/tree/main/.agents/skills/add-function-body into .gemini/skills/add-function-body/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-function-body", 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 onnx/onnx add-function-bodyInstalls 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 onnx/onnx --skill add-function-body -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/onnx/onnx.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/add-function-body .github/skills/add-function-body && 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 "add-function-body" agent skill from https://github.com/onnx/onnx/tree/main/.agents/skills/add-function-body into .github/skills/add-function-body/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-function-body", 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 onnx/onnx --skill add-function-body -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install onnx/onnx add-function-body --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/onnx/onnx.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/add-function-body .opencode/skills/add-function-body && 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 "add-function-body" agent skill from https://github.com/onnx/onnx/tree/main/.agents/skills/add-function-body into .opencode/skills/add-function-body/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-function-body", 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.
add-function-bodyAdd a function body definition to an ONNX operator, defining how it decomposes into simpler ops.
Add Function Body is an agent skill from onnx/onnx. Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops. Use when asked to make an op decomposable, add a FunctionBody, implement SetContextDependentFunctionBodyBuilder, or express an op in terms of other ONNX operators.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Deep learning. It works with ONNX. The repository describes itself as: Open standard for machine learning interoperability. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit ab429ea. 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:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Add Function Body loads about 1.1k tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 231 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 onnx/onnx at commit ab429ea, republished under its Apache-2.0 licence (© onnx). 231 words, ~1,052 tokens.
.claude/skills/add-function-body/SKILL.md (or your agent's skills folder).Follow the full guide in docs/AddFunctionBody.md.
| Component | File |
|---|---|
| Function body definition | onnx/defs/<domain>/defs.cc (inline with schema) |
| FunctionBuilder utilities | onnx/defs/function.h |
| Function tests | tests/cpp/function_get_test.cc, tests/cpp/function_verify_test.cc |
ONNX_OPERATOR_SET_SCHEMA(
LessOrEqual, 16,
OpSchema()
// ... inputs, outputs, type constraints ...
.TypeAndShapeInferenceFunction(inferenceFunction)
.FunctionBody(R"ONNX(
{
O1 = Less (A, B)
O2 = Equal (A, B)
C = Or (O1, O2)
}
)ONNX"));With explicit opset version:
.FunctionBody(R"ONNX(...)ONNX", 18) // Valid from opset 18Referencing attributes with @attr_name:
.FunctionBody(R"ONNX(
{
Alpha = Constant <value_float: float = @alpha>()
AlphaCast = CastLike (Alpha, X)
...
}
)ONNX")For ops whose decomposition varies based on attributes or optional inputs:
static bool BuildFunctionBodyMyOp(
const FunctionBodyBuildContext& ctx,
const OpSchema& schema,
FunctionProto& functionProto) {
FunctionBuilder builder(functionProto);
// Build graph based on ctx.hasInput(), ctx.getAttribute(), etc.
builder.Add("output = SomeOp (input)");
schema.BuildFunction(functionProto);
return true;
}
// Register:
.SetContextDependentFunctionBodyBuilder(BuildFunctionBodyMyOp)FunctionBuilder builder(functionProto);
builder.Add("Y = Relu (X)"); // Add node
builder.Const("alpha", std::vector<float>{0.01f}); // Constant tensor
builder.Const1D("axes", int64_t(1)); // 1-D constant
builder.Add(R"( // Multi-line
X_Sub = Sub (X, X_Max)
X_Exp = Exp (X_Sub)
)");
builder.AddOpset("", 18); // Opset dependency
schema.BuildFunction(functionProto); // Finalize
return true; .SetContextDependentFunctionBodyBuilder(builderForOpset13)
.SetContextDependentFunctionBodyBuilder(builderForOpset18, 18)Function body strings use the ONNX text format ("onnxtxt"). See the onnxtxt skill for the full syntax cheat sheet, attribute references (@attr_name), Constant <value = ...> forms, CastLike vs Cast, body-subgraph idioms, and parser tests. Quick reminders specific to function bodies:
@attr_name — and only those declared in .Attr(...) calls.CastLike (not Cast) when the target type depends on another input.Define context-dependent function body builders as separate named functions rather than inline lambdas within ONNX_OPERATOR_SET_SCHEMA. The macro expansion makes setting breakpoints on inline lambdas unreliable in debuggers.
Simple string-based .FunctionBody(R"ONNX(...)ONNX") definitions don't have this issue.
python onnx/defs/gen_doc.py
lintrunner -a --output onelineschema.BuildFunction(functionProto) at end of context-dependent buildersreturn true from the builder functionCast instead of CastLike for dynamic type matching@attr_name for an attribute not declared in .Attr() calls© onnx, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/add-function-body of onnx/onnx.
Open the folder on GitHubat commit ab429ea
Add Function Body 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 |
|---|---|---|---|---|---|---|
| Add Function Body this skillonnx/onnx | 22k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 9 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Technology Selectiondotnet/skills | 5.6k | 2 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Quark Torch Quant Perfamd/Quark | 181 | — | ~3k | Automated safety check: Pass | MIT | |
| Domain MLmajiayu000/claude-skill-registry | 666 | 1 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Embedded AI Deploymentmatlab/agent-skills-playground | 181 | 1 repos | ~3.4k | Automated safety check: Pass | Custom licence |
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
dotnet/skills
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…
amd/Quark
Run, resume, monitor, diagnose, and report Quark Quant-Perf workflows for PyTorch and HuggingFace transformers models.
majiayu000/claude-skill-registry
A skill your agent uses when building ML/AI apps in Rust. An agent skill from majiayu000/claude-skill-registry.
matlab/agent-skills-playground
Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).
qualcomm/qai-appbuilder
QAI ModelBuilder. An agent skill from qualcomm/qai-appbuilder.
onnx/onnx
Add a new ONNX operator or update an existing operator to a new opset version.
onnx/onnx
Add or update type and shape inference for an ONNX operator.
onnx/onnx
Read or write ONNX text format ("onnxtxt"). An agent skill from onnx/onnx.
Works with
Categories
Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops. Add Function Body is an agent skill from onnx/onnx. Add a function body definition to an ONNX operator, defining how it decomposes into simpler ops.
Add Function Body fits situations like: asked to make an op decomposable; add a FunctionBody; implement SetContextDependentFunctionBodyBuilder; express an op in terms of other ONNX operators.
Run `npx skills add onnx/onnx --skill add-function-body -a claude-code`. Or copy the skill folder (.agents/skills/add-function-body in onnx/onnx) into .claude/skills/add-function-body in your project. Claude Code loads it when a task matches its description.
Run `npx skills add onnx/onnx --skill add-function-body -a codex`. Or copy the skill folder (.agents/skills/add-function-body in onnx/onnx) into .agents/skills/add-function-body 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 onnx/onnx --skill add-function-body -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-function-body, .gemini/skills/add-function-body, .github/skills/add-function-body and .opencode/skills/add-function-body in your project.
Going by SKILL.md and its folder, Add Function Body needs the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. 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.
Add Function Body is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.2k 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 Add Function Body: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Technology Selection (dotnet/skills, 5.6k stars), Quark Torch Quant Perf (amd/Quark, 181 stars) and Domain ML (majiayu000/claude-skill-registry, 666 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
onnx (a GitHub organization) maintains it in onnx/onnx, which has 21,562 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 7, 2026.
Source: onnx/onnx on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.