holoscan-app-debug-build-run
Use when a concrete holoscan command in holoscan-applications or a standalone Module fails, hangs, regresses, or returns wrong output.
Skill by Holoscan Team <holoscan-team@nvidia.com>
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/nvidia-holoscan-app-debug-build-run
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: debugging, ci-cd
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/holoscan-app-debug-build-run
What's inside
- Skill name
holoscan-app-debug-build-run- Description
- Use when a concrete holoscan command in holoscan-applications or a standalone Module fails, hangs, regresses, or returns wrong output.
- License
- Apache-2.0
- Metadata
- author: Holoscan Team <holoscan-team@nvidia.com> · github-url: https://github.com/nvidia-holoscan/holoscan-applications · compatibility: Holoscan CLI 5.x (verified with 5.0.0); Python 3.12–3.14; nvidia-holoscan/holoscan-applications checkout or standalone Holoscan Module
- Instructions
- 168 lines in SKILL.md · view on GitHub
Files (10)
- BENCHMARK.md
- SKILL.md
- evals.json · evals/
- extended-evals.json · evals/
- debug-workflow.md · references/
- holoscan-cli-configuration.md · references/
- holoscan-cli-contract.md · references/
- known-issues.md · references/
- skill-card.md
- skill.oms.sig
SKILL.md (first lines)
# Debug Holoscan CLI commands ## Purpose Turn one concrete CLI failure into a minimally fixed, reproducible passing command with focused regression proof. ## Inputs Required, from the user's report or the affected checkout: - the affected user-provided holoscan-applications checkout or standalone Module repository; - one exact failing, hanging, regressed, or semantically wrong `holoscan` command; - expected and observed results, relevant inputs, and the point where progress stops; - the runtime needed to reproduce the command. Optional: existing logs and a known-good revision or environment for comparison. Route non-failing Module work to `holoscan-module-lifecycle` and first-time SDK installation to `holoscan-setup`. If the matching skill is unavailable, preserve the handoff context and name the skill to install. Non-failing application work is outside this skill; follow the checkout's `README.md`, `CONTRIBUTING.md`, and `docs/ci.md` instead. Do not manufacture a failure. ## Prerequisites - Always read the [Holoscan CLI contract](references/holoscan-cli-contract.md). - Read [Holoscan CLI configuration](references/holoscan-cli-configuration.md) when the CLI environment, base image, SDK selection, or project settings are involved. - Read the [debug workflow](references/debug-workflow.md) for layer classification, observability, hypothesis testing, cleanup, and proof. - Read only the relevant section of [version-sensitive diagnostic priors](references/known-issues.md). - If a referenced file is unavailable, report the missing reference rather than proceeding without its guidance. The affected checkout's `README.md`, `CONTRIBUTING.md`, and `docs/ci.md`, or a generated Module's own guidance, plus local help, exact reproduction, schemas, and source are the live technical authority where they do not conflict with user, system, or safety constraints. ## Instructions If the request is planning-only or forbids execution, do not begin the steps below. Return only the proposed diagnostic order, evidence, approval boundaries, and proof requirements; do not run commands or change files, caches, artifacts, privileges, or environments. 1. **Freeze the reproduction.** Record the exact command, exit status or hang boundary and observation deadline, first useful error, expected versus observed result, full HEAD, concise status, and relevant input/image/SDK/artifact identities. 2. **Identify syntax and environment.** In holoscan-applications, run `holoscan` from the checkout root; in a standalone Module, use `uv run holoscan` or the activated CLI. Read subcommand help; never copy a launcher into either repository. Capture `version --json`, `env-info --json`, relevant `env-check --json`, and `status --json`, and compare the CLI version with the committed pin. Before sharing, apply the diagnostic redaction procedure in [debug workflow](references/debug-workflow.md#sharing-diagnostics): never paste raw environment or credential-bearing output. 3. **Locate the failing phase.** Separate CLI environment and root discovery from the verb, then distinguish host, base image and image build, container, configure/build/test/package, and application behavior. Use the checks in the [layer matrix](references/debug-workflow.md#layer-matrix) to place the first useful error in one layer; when two layers remain plausible, step 6 tests their boundary. 4. **Preview the identical shape.** Add only locally supported preview and verbosity flags. Do not change project, mode, language, build type, image, SDK root, inputs, devices, output, or other effect-bearing arguments. 5. **Reproduce once without edits.** Capture the smallest complete causal section, separate from shutdown noise. If the command or its options clear cached artifacts, including `clear-cache` or `test --clear-cache`, review the resolved affected paths and obtain explicit user authorization before reproduction; receiving a failing-command report is not approval for cache cleanup. A user instruction approving those resolved paths is sufficient; if approval is absent or denied, use existing logs and read-only checks, and report reproduction blocked. Every `holoscan test` also empties its `build-<project>` test directory, so confirm that directory holds nothing to preserve before reproducing a test. For a hang, preserve all effect-bearing arguments but enforce an external timeout derived from the recorded hang boundary; record the deadline, termination signal, exit status, and whether child CLI or container processes remain. If it no longer reproduces, compare revision, state, inputs, image, SDK, cache, display/devices, and environment, then report the mismatch rather than inventing a fix. 6. **Test one boundary and hypothesis.** Choose one primary layer, state a falsifiable explanation, change one variable, and record the result. Read source only after narrowing ownership. Revert diagnostic-only changes. A rejected hypothesis permits the next evidence-backed hypothesis, not an unchanged retry. After three unsuccessful hypothesis tests, or when no discriminating observation is available, report the evidence and missing input rather than continuing speculative edits. 7. **Fix minimally.** Change the owning layer without unrelated refactoring, broad dependency upgrades, or public-contract changes. Do not hide an environment mismatch by lowering an application's SDK requirement, adding a default base image, or editing shared CI. Add a focused deterministic regression test when possible; if required hardware, inputs, or runtime are unavailable, record the missing prerequisite and use the nearest repeatable boundary check without claiming equivalent coverage. 8. **Keep cleanup separate.** Never clear caches speculatively. If stale state is proved, preview the narrowest `clear-cache` scope, review every resolved path, and obtain explicit user approval before clearing those paths. 9. **Prove and restore.** For a mutating command, preview the post-fix identical shape before re-running it with the same inputs; the pre-fix preview is not proof of the resolved image, mounts, or child commands. Require the expected result, run the nearest focused test, inspect relevant artifacts, remove diagnostic-only changes, and compare final status with the baseline. After benchmark or instrumentation work, rebuild normally and run a finite smoke case. In holoscan-applications, rerun `python .github/scripts/holoscan_ci.py` after metadata, mode, registration, or test changes. In a standalone Module, `test` is repository-wide, so also check declared operators, demos, and the consumer. Run `git diff --check`.
From NVIDIA/skills, Apache-2.0.
More from NVIDIA/skills
- 0.846score
nemo-fabric-integrate
NVIDIA Corporation and Affiliates
Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK —…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-pipeline
Vinit Bansal <vinitkumarb@nvidia.com>
Use when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-convert-pytorch
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nemo-relay-get-started
NVIDIA Corporation and Affiliates
Use this skill when first-time NeMo Relay users want help selecting and following an appropriate quick-start guide or verifying their first working integration.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-recipe
Vinit Bansal <vinitkumarb@nvidia.com>
Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvidia-broadcast
NVIDIA Broadcast Team <broadcast-skills-dev@nvidia.com>
Use when controlling NVIDIA Broadcast through MCP to apply effects, process local media, select devices, or change camera resolution, or when Broadcast is…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-setup
Vinit Bansal <vinitkumarb@nvidia.com>
Use when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-diagnose-job
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Use when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-convert-lightning
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nemo-relay-install
NVIDIA Corporation and Affiliates
Use this skill when choosing or running NeMo Relay installation for an agent runtime, application language, framework integration, or plugin bundle, or…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
nvflare-fed-stats
NVIDIA FLARE Team <federatedlearning@nvidia.com>
Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.846score
jetson-video-capability
Vinit Bansal <vinitkumarb@nvidia.com>
Use when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA…
SkillAFreshness: A★ 3.7KClaude Code +9
Signals
- Stars
- 3,718
- Forks
- 457
- Open issues
- 8
- Last commit (this folder)
- Oct 20, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/NVIDIA/skills
- Website
- docs.nvidia.com/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Holoscan Team <holoscan-team@nvidia.com>
- 0.842score
holoscan-setup
Holoscan Team <holoscan-team@nvidia.com>
Assess a host and choose a Holoscan SDK 5.x installation method using release availability, CUDA 13 compatibility, and component needs.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.842score
holoscan-module-lifecycle
Holoscan Team <holoscan-team@nvidia.com>
Develop external Holoscan Modules with the Holoscan CLI and use them in Holoscan applications: scaffold, test, Python bindings, DEB/WHEEL packaging, and…
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
holoscan-install-container
Holoscan Team <holoscan-team@nvidia.com>
Install and verify the Holoscan SDK 5.x CUDA 13 development container after checking release availability and host compatibility.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
holoscan-install-source
Holoscan Team <holoscan-team@nvidia.com>
Build and verify Holoscan SDK 5.x from an explicit source ref with the repository run wrapper; use for Early Access or SDK development.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
holoscan-install-debian
Holoscan Team <holoscan-team@nvidia.com>
Install Holoscan SDK 5.x native C++ Debian packages on Ubuntu 24.04, choosing the full SDK or matching modular packages.
SkillAFreshness: A★ 3.7KClaude Code +9 - 0.837score
holoscan-install-conda
Holoscan Team <holoscan-team@nvidia.com>
Handle Holoscan SDK 5.x Conda installation requests: explain 5.0 package unavailability, check later releases, and select a supported installation method.
SkillAFreshness: A★ 3.7KClaude Code +9
Cite this page
holoscan-app-debug-build-run skill. Agent Mart. https://agentmart.dev/skills/nvidia-holoscan-app-debug-build-run (last updated 2026-10-24)