Holoscan Module Lifecycle
NVIDIAOfficialCreated by Holoscan TeamDistributed by NVIDIA
- Skill
- Workflow
- Software development
- Apache-2.0
- Medium risk
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
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/holoscan-module-lifecycle/downloadUnzip 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
For module concepts and producer and consumer walkthroughs, use the Holoscan Modules tutorials: create a module and use a module. Recheck their version-sensitive commands against the selected checkout and CLI contract. If they are unavailable, use the summary above, the bundled references, and the selected CLI’s packaged template and help; identify the unavailable tutorial and do not claim to have checked it.
Always read the Holoscan CLI contract and Holoscan CLI configuration.
Read module development for layout, naming, scaffold, metadata, implementation, build, and test scope.
Read consumers and packaging when a consuming app, Python binding consumer, or binary artifact is in scope.
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.
Preserve and orient. Record full HEAD, concise status, selected CLI version/environment, and discovery output. Preserve the checkout revision and unrelated work.
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.Fix identities before files. Keep display name,
snake_casemodule/namespace,holoscan-<kebab-case>repository/package, andsnake_case_opoperator slug consistent.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 createcommand with explicit language (cpp, orcpp pythonto 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.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.
Build and test honestly. Preview and run container-first module and demo commands, passing
--language cppor--language pythonwhen a project declares both. The module'stestruns its repository-wide suite; combine it with focused pytest or CTest targets and report the scope.Prove a real consumer. An application consumes the installed package with
find_package(holoscan-<name> CONFIG REQUIRED)andholoscan::<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 theholoscan-<name>-pythoncomponent 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 substituteinstall --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.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.tomlbuilds one. For DEB, verify the declaredholoscanDebian 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.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
holoscanwithsudo; obtain approval forholoscan 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
- ATTRIBUTION.mdAdded by AutoGineer940 B
- BENCHMARK.md8.5 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md10.7 KiB
- evals/evals.json13.2 KiB
- evals/extended-evals.json4.4 KiB
- references/holoscan-cli-configuration.md6.8 KiB
- references/holoscan-cli-contract.md11.1 KiB
- references/module-consumer-packaging.md9.2 KiB
- references/module-development.md6.8 KiB
- skill-card.md5.8 KiB
- skill.oms.sig5.7 KiB
references/module-development.md
External Holoscan Module development
Layout and naming
Use a standalone holoscan-<name> repository for each external module, with
its demo applications and tests. holoscan-applications keeps end-to-end
applications only and directs reusable operators and Modules to independent
repositories; its applications consume a module's installed package. Keep the
display name, snake_case namespace, holoscan-<kebab-case>
package/repository, and snake_case_op operator consistent. The packaged
template rejects module slugs owned by SDK core modules: core, vision,
visualization, and inference.
Standalone scaffold: uv first
The following commands pin holoscan-cli 5.0.0 from PyPI and work with
Python 3.12–3.14; see "Python and CLI version" in the Holoscan CLI
configuration reference.
uvx supplies the isolated creation environment; uv run uses the generated
project's pinned development group. There is no need to pin a local Python
patch version or activate an environment. Start in a parent directory outside
any other project checkout and use the CLI's packaged Module template:
uvx --from 'holoscan-cli[create]==5.0.0' holoscan create my-module --language cpp --interactive false --context holoscan_version=5.0.0 --dryrun
uvx --from 'holoscan-cli[create]==5.0.0' holoscan create my-module --language cpp --interactive false --context holoscan_version=5.0.0
cd holoscan-my-module
uv run holoscan list --jsonThe template implements operators in C++ for SDK 5.0.0 or later with CUDA 13,
CMake 4.0 or later, and C++20. Use --language cpp python in both commands to
add Python bindings that register the C++ operators, a Python version of the
example, and a pytest suite. --language python alone is rejected; the
template does not generate Python-implemented operators, editable-import
hooks, or wheels.
Replace the illustrative name, language, and SDK minimum with the requested
values in both commands. Supply repeated --context key=value options for
release metadata: project_name, module_slug, module_repo_name,
operator_slug, full_name, affiliation, version, description,
and contact_email. _license must remain Apache-2.0 to match the
generated license. Inspect derived defaults rather than publishing
placeholder metadata. Read the preview before the real creation; it does not
run the template's validation, and uv may still download tooling during a CLI
dry run.
The default output is a new holoscan-<name> directory under the current
parent. Use --directory to choose another parent. Missing, empty, or .git-only
destinations are supported, including fresh worktrees; populated destinations
are rejected. Outside an existing worktree, creation initializes Git on main
and stages the scaffold without committing. Preserve Git history and inspect
generated status. Do not create or copy a launcher script.
The generated requirements-cli.txt, development dependency group, and
pre-commit configuration pin the creating CLI version for host and container
use. The generated pyproject.toml routes holoscan-cli to NVIDIA's package
index for uv run, and requirements-cli.txt documents the matching
--extra-index-url; the 5.0.0 wheel is identical on PyPI and that index. Keep
these pins consistent and change them together only with authorization.
Fallback: .venv with pip
If uv is unavailable, create a Python 3.12 virtual environment in the parent, activate it, and install the creation extra:
python3.12 -m venv .venv
. .venv/bin/activate
python -m pip install 'holoscan-cli[create]==5.0.0'Use the same preview/action holoscan create arguments above without the
uvx prefix. Inside the generated module, use its own environment:
python3.12 -m venv .venv
. .venv/bin/activate
python -m pip install --extra-index-url https://pypi.nvidia.com -r requirements-cli.txtThen omit uv run from development commands. Do not install into system Python.
Iterate on the module
uv run holoscan build holoscan-my-module --dryrun --verbose
uv run holoscan build holoscan-my-module --verbose
uv run holoscan run my_module_pipeline --language cpp --dryrun --verbose
uv run holoscan run my_module_pipeline --language cpp --verbose
uv run holoscan test --dryrun --verbose
uv run holoscan test --verboseUse actual names from list and modes. With Python bindings, the example
declares both languages: an omitted --language selects Python, --language cpp builds without the bindings, and --language python runs the Python
example through them. Run from nested source directories or put
--project-root /path/to/module before the verb. Keep shared configuration
in [tool.holoscan] as described in the Holoscan CLI configuration reference.
Lifecycle commands use the development container unless --local is passed;
follow the generated AGENTS.md for hosts without a GPU. Generated operator/demo
bodies are TODO stubs: scaffold/import success is not functional proof.
Python bindings need the SDK's holoscan Python package in the build
environment, which SDK 5 Debian packages do not provide. Verify the SDK
import in the selected environment first.
Producer and demo contract
Validate against the selected CLI's packaged Module schema
(holoscan_cli/metadata/module.schema.json in the installed package) and the
generated examples. Keep identity, languages, namespaces, SDK range,
platforms, operators, source, license, tests, support_level, and
binary_packages consistent. The module's languages must cover its
operators' languages. Declare binary_packages.wheel only after the module
publishes a wheel; binary_packages.pypi is a deprecated alias. Implement the
smallest reusable operator/API, preserve native and binding/import contracts,
and add deterministic unit tests. Register each new bound operator in the
generated Python extension and cover it in tests/python. Add a finite demo
that consumes the same public surface as another project and exits nonzero on
mismatch. Keep demo policy out of the operator.
Register only necessary targets and tests. Exclude data, models, engines, build/install trees, wheels, debs, and recordings from source control.
Test scope
The bundled CTest driver does not scope test <module> to one module, so the
module repository's test runs its whole suite either way and empties and
reuses <root>/build- on every run, separate from
HOLOSCAN_CLI_BUILD_PARENT_DIR; inspect the driver before running tests. Combine it with the
documented focused pytest or CTest targets and report scope honestly. A
passing generated compile-plan, import, or placeholder test is not a finite
pipeline proof; replace TODO bodies and assert actual processing results.
Require build success, focused tests, finite demo evidence, and visual
inspection when rendering is affected. After one full proof, reuse an
unchanged image with --no-docker-build; rebuild local artifacts after source
changes.
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
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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)
- Synced
AutoGineer is not affiliated with or endorsed by Holoscan Team or NVIDIA.
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