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Holoscan Module Lifecycle

NVIDIAOfficialCreated by Holoscan TeamDistributed by NVIDIA

  • Skill
  • Workflow
  • Software development
  • Apache-2.0
  • Medium risk

From the author

Develop external Holoscan Modules with the Holoscan CLI and use them in Holoscan applications: scaffold, test, Python bindings, DEB/WHEEL packaging, and clean-consumer proof.
— the description by Holoscan Team

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured workflow for developing external Holoscan Modules, which extend the Holoscan SDK with custom operators and resources. It covers the entire lifecycle from scaffolding a new module repository using the Holoscan CLI template to implementing public APIs, running tests, and packaging the module as DEB or WHEEL artifacts. The process emphasizes maintaining consistent identities, validating metadata, and proving consumer compatibility through clean-room installation checks.

What it does

  • Scaffolds new standalone Holoscan Module repositories using the official CLI template.
  • Configures module metadata, identities, and SDK version requirements.
  • Implements and validates public operator APIs and deterministic tests.
  • Builds and tests modules within containerized environments.
  • Packages modules into DEB or WHEEL formats for distribution.
  • Verifies module installability and consumer compatibility in clean environments.

When to use it

  • When creating a new reusable Holoscan Module outside of the core SDK.
  • When adding Python bindings to an existing C++ Holoscan Module.
  • When preparing a module for distribution via DEB or WHEEL packages.
  • When verifying that a consuming application can correctly link against a custom module.

Advantages

  • Ensures consistency across module development through standardized CLI scaffolding.
  • Promotes clean-room testing to verify package installability and dependency resolution.
  • Separates reusable module logic from specific application implementations.
  • Provides a clear path for integrating Python bindings with C++ Holoscan operators.

Usage examples

“Scaffold a new Holoscan module named 'image-processor' with C++ and Python support targeting SDK 5.0.0.”
The agent will initialize a new repository, configure the metadata with the specified SDK floor, and generate the necessary project structure for C++ and Python bindings.
“Package my existing Holoscan module as a DEB file and verify it in a clean environment.”
The agent will build the DEB artifact, simulate an installation in a fresh environment, and perform a smoke test to ensure the module is correctly linked and importable.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/nvidia/holoscan-module-lifecycle/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip holoscan-module-lifecycle.zip -d .agents/skills

Documentation by Holoscan Team

Holoscan Module lifecycle

Purpose

Take a reusable Holoscan Module from layout and API contract through producer, consumer, and clean artifact-install proof. Use uv run holoscan in a standalone module, or holoscan in its activated pip environment.

A Holoscan Module extends holoscan::core with operators, resources, and helpers for a domain capability, plus examples and tests. Core modules ship with the SDK; external modules live in their own repositories, and applications, including those in nvidia-holoscan/holoscan-applications, consume their installed packages. This skill covers external Holoscan Module development and consumption. For SDK core-module implementation, follow the selected SDK checkout’s modules/DEVELOPER.md and module-specific guide; do not apply the external CLI template or packaging workflow to SDK core modules.

Inputs

Required: the API contract, workspace, identities, SDK floor, license, maintainer, package formats, and acceptance checks, from the request or an authoritative repository source. Optional: a consuming application. If consequential release metadata remains unknown, stop before scaffolding or packaging rather than guessing.

  • a reusable producer/consumer API contract rather than an ordinary app;

  • the user-provided standalone module repository, or the parent directory for a new one;

  • language, module/operator/package identities, minimum SDK version, license, maintainer details, and requested package formats;

  • the consuming application, if any, such as one in a holoscan-applications checkout;

  • finite producer, consumer, and artifact acceptance checks.

First honor any request for planning only (for example, “do not run commands”); preserve that restriction when routing. Check the session’s available skill catalog for the destination skill. Route a concrete failing or wrong holoscan command to holoscan-app-debug-build-run. If the matching skill is unavailable, preserve the handoff context and name the skill to install instead of broadening this workflow. An ordinary application without a reusable module API is outside this skill; follow the target repository's own guidance, such as README.md and CONTRIBUTING.md in holoscan-applications.

Prerequisites

The module's own README.md, DEVELOPER.md, and AGENTS.md, a consuming checkout's guidance, local help, schemas, templates, tutorials, and nearby examples are the live technical authority where they do not conflict with user, system, or safety constraints.

Instructions

For a planning-only request, return the proposed workflow and proof requirements without executing commands or changing files. Otherwise continue below.

At any step, a failing effect-bearing CLI command ends this happy path; follow Troubleshooting with its exact context. Parse read-only diagnostic results and stop only when a failed capability is required by the module, consumer, packaging environment, or requested proof. For example, a failed Docker capability blocks a container build; an unavailable display need not block an explicitly headless consumer.

  1. Preserve and orient. Record full HEAD, concise status, selected CLI version/environment, and discovery output. Preserve the checkout revision and unrelated work.

  2. Choose the layout. Use a standalone holoscan-<name> repository with its own demo applications. holoscan-applications keeps applications only and directs reusable operators and Modules to independent repositories.

  3. Fix identities before files. Keep display name, snake_case module/namespace, holoscan-<kebab-case> repository/package, and snake_case_op operator slug consistent.

  4. Scaffold with the packaged template. Follow the uv-first creation sequence in the development reference, from a parent directory outside any application checkout. Preview and run the same non-interactive holoscan create command with explicit language (cpp, or cpp python to add Python bindings) and agreed metadata. Always specify --context holoscan_version=<agreed-sdk-floor> to override configured or template defaults; the template requires 5.0.0 or later, and its preview does not check that floor. Examples explicitly select 5.0.0; use the agreed SDK floor for the actual module. No launcher or holoscan-applications checkout is required. Preserve existing Git state; reject populated destinations. Inspect generated files and Git status before continuing.

  5. Implement the smallest public contract. Validate metadata, expose one useful operator/API, add deterministic tests, and add a finite demo that consumes the same public surface as another project. Keep demo policy out of the reusable operator.

  6. Build and test honestly. Preview and run container-first module and demo commands, passing --language cpp or --language python when a project declares both. The module's test runs its repository-wide suite; combine it with focused pytest or CTest targets and report the scope.

  7. Prove a real consumer. An application consumes the installed package with find_package(holoscan-<name> CONFIG REQUIRED) and holoscan::<module_slug>. In holoscan-applications, a metadata dependency alone neither fetches nor builds the module; follow the application consumer procedure and do not change the shared root CMake without maintainer agreement. For Python bindings, import from the exact build tree or install the holoscan-<name>-python component into a task-owned prefix; follow the Python consumer cleanup procedure: record the interpreter, build directory, prefix, and installed paths, always remove the task-owned prefix after the consumer attempt, and verify it is absent. The packaged template stages no editable-import hooks, so do not substitute install --dev. If cleanup fails, stop using that environment and report incomplete cleanup; a missing debugging skill does not permit continuing to package or publish. Discard a task-owned disposable environment only under existing cleanup authorization; a shared environment needs the owner’s repair decision.

  8. Package only after behavior proof. Preview and build the requested artifacts, inspect identity/metadata/dependencies/payload, and install each format in a clean artifact-only consumer with an import/link and finite smoke check. The packaged template produces a C++-only DEB and no wheel; request WHEEL only for a module whose own pyproject.toml builds one. For DEB, verify the declared holoscan Debian dependency in the consumer’s package database: a successful Python import or C++ build is insufficient. If it is absent, report DEB installation unverified and follow the DEB prerequisite guidance; do not force dependency checks or claim archive extraction proves installability.

  9. Validate and hand off. Rerun producer and clean-consumer checks, git diff --check, and final status. In a dirty checkout, restrict auto-fixing lint to task paths; before a requested commit, validate the exact candidate change with the full lint required by that repository's guidance, in a clean disposable checkout. If the required commands cannot be determined, report lint unverified. Confirm no generated artifacts or install prefixes are staged. Do not commit, push, upload, publish, or release unless requested.

Troubleshooting

If a CLI command fails, stop the happy path and hand off its exact command, revision, dirty state, inputs, and observed result to holoscan-app-debug-build-run.

Examples

  • Scaffold and package a reusable operator with clean-consumer proof: use this skill.

  • Package an ordinary app or diagnose a failing build: route out of this skill.

Limitations

  • Preserve unrelated work. Do not reset, clean, remove unrelated files, change host configuration, broaden privileges, commit, push, upload, publish, or release without authorization.

  • Never prefix holoscan with sudo; obtain approval for holoscan setup, host packages, host-local execution, root containers, devices/capabilities, or permission changes.

  • Keep build, data, install prefixes, and package output out of commits.

  • Protect credentials, proprietary source, patient data, private media, and identifying metadata.

  • Claim support, reproducibility, installability, performance, or safety only for the producer, artifacts, and clean-consumer evidence actually collected.

Output

Return layout and identities, public API/demo, metadata and registrations, preview and real command results, honest test scope, consumer proof, artifact identity/contents/install results, licensing and publication limits, and final worktree state.

For a planning-only request, return the proposed order, authoritative metadata sources, approval boundaries, and proof requirements without claiming results.

Files

references/holoscan-cli-configuration.md

Holoscan CLI configuration

Use this reference for CLI 5.x configuration in a holoscan-applications checkout or a standalone Holoscan Module repository. Inspect the selected CLI's help, version --json, and env-info --json before applying version-sensitive options. Preview mutating commands with the flags supported by that command, then keep the same effect-bearing arguments for the real invocation.

Documentation and runtime authority

Use the CLI-owned quick start, command reference, and configuration guide. Match version-sensitive details to the selected build's help and installed package source. The CLI repository's AGENTS.md and CONTRIBUTING.md guide contributions to that repository. holoscan-applications documents its repository workflow in README.md, CONTRIBUTING.md, and docs/ci.md; generated modules follow their own README.md, DEVELOPER.md, and AGENTS.md.

Python and CLI version

Recommend Python 3.12, 3.13, or 3.14. The 5.0.0 wheel declares >=3.11,<3.15 and is published on PyPI and NVIDIA's package index. The older published 5.0.0a1 wheel declares <3.14; a newer release does not change an existing wheel or a project's CLI pin. To keep an explicitly requested older pin, select a compatible interpreter for that invocation. To move a project to a newer CLI, update its pins together with authorization: the requirements.txt pin in holoscan-applications, or a generated module's requirements, development-group, and pre-commit pins. Python bindings in a generated module need Python 3.12 or later. Do not use --ignore-requires-python or add a project-wide Python pin by default. CLI interpreter support does not establish SDK, CUDA, native extension, or module compatibility; validate those independently.

In holoscan-applications, install requirements.txt into the activated virtual environment that runs the CLI. It supplies holoscan-cli, pre-commit, and jsonschema, and the metadata lint hook runs python3 from that environment. holoscan create --template also needs the CLI's create extra (cookiecutter). .github/requirements-ci.txt adds the CMake and Ninja used by hosted tests. A uv tool installation of the CLI has no pip and none of these lint dependencies.

Project configuration

  • The CLI discovers the project root from nested directories: a holoscan-applications root contains applications/<name>/metadata.json, and a module root contains the module's metadata.json. For an explicit root, put --project-root /path/to/root before the subcommand; HOLOSCAN_CLI_ROOT is the environment form. Dry runs report the root's source.

  • Read identity, SDK range, Dockerfile, and dependencies from metadata.

  • A standalone Module keeps shared settings in [tool.holoscan] in its pyproject.toml: cuda, ctest-script, forward-env, docker-build-args, docker-run-args, search-paths, architecture-specific base-images, and the naming keys container-prefix, repo-prefix, and workspace-name. search-paths replaces the default project folders, and the CLI rejects unknown keys. The CLI reads this table only at a Module root and ignores it at a holoscan-applications root; there, use command options or their environment forms (--base-img or HOLOSCAN_CLI_BASE_IMAGE, --cuda or HOLOSCAN_CLI_DEFAULT_CUDA_VERSION, --ctest-script or HOLOSCAN_CLI_CTEST_SCRIPT).

  • CUDA and CTest precedence is command, environment, Module project configuration, then defaults. Docker argument layers append in project, mode, environment, command order. --build-with replaces the mode operator list; --configure-args is repeatable and additive. Inspect --dryrun --verbose provenance.

  • --forward-env NAME forwards a variable by name; it does not mount files or translate host paths. Store names, never secret values, in project config.

  • CPU affinity/cgroup limits and supported SIPL assets are handled by the CLI; do not copy those mechanisms into a launcher.

Base image and SDK selection

  • Lifecycle commands use the development container unless --local is passed. SDK 5.x images and builds use CUDA 13 only.

  • The container base image comes from --base-img, then HOLOSCAN_CLI_BASE_IMAGE, then, for a Module, [tool.holoscan] base-images. holoscan-applications sets none, and its Dockerfile intentionally has no default BASE_IMAGE, so a container command without one stops before building. Choose a development image that matches the application's SDK, architecture, and dependencies; the CLI does not check that match.

  • Select a native SDK with --local-sdk-root or HOLOSCAN_SDK_ROOT; 4.x CUDA-qualified and 5.x architecture-only layouts are recognized. Otherwise a standalone Module first tries a holoscan-sdk build inside or beside the module, and every project then falls back to HOLOSCAN_CLI_DEFAULT_HSDK_DIR, an SDK under /usr (the SDK 5 Debian layout), then /opt/nvidia/holoscan. Dry runs name the selected SDK and its source. The CLI does not compare that SDK with the project's minimum version, so an SDK 4 installation at /opt/nvidia/holoscan fails at CMake configure for an SDK 5 project. SDK 5 Debian packages do not include Python bindings. Do not change host SDK installations merely to repair discovery.

  • Keep native and container build parents separate for build/package. Every holoscan test run of the bundled CTest driver empties and reuses its own test build directory, which the CLI build-parent override does not relocate. Inspect the selected driver and its cleanup scope before testing, especially when reusing a checkout.

Module SDK selection

Choose the module's agreed SDK minimum explicitly with --context holoscan_version=<version>; examples use 5.0.0. The packaged template (holoscan_cli/templates/module/cookiecutter.json in the installed CLI) defaults to 5.0.0 and rejects older minimums during generation; a create --dryrun preview skips the template's checks (SDK minimum, reserved slugs, naming, and license), which only the real creation enforces. A configured base SDK version overrides the default, then explicit context values take precedence, as implemented by the installed holoscan_cli/commands/create.py. Use a CLI 4.x release to scaffold a module for the SDK 4.x API. Neither the default nor the CLI version establishes the module's SDK contract.

The template implements operators in C++. --language cpp is the default; --language cpp python adds Python bindings for those operators. Both the preview and the real creation reject --language python alone, and the template does not generate Python-implemented operators, editable-import hooks, or wheels.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

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Attribution and licence

Created by
Holoscan Team
Publisher
NVIDIA (Official)
Distributed by
NVIDIA
Source
NVIDIA/skills · skills/holoscan-module-lifecycle · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
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