Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when the user runs docadpahltracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR…
$ npx skills add NVIDIA/skills --skill doca-dpa-hl-tracer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install NVIDIA/skills doca-dpa-hl-tracer --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/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doca-dpa-hl-tracer .claude/skills/doca-dpa-hl-tracer && 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 "doca-dpa-hl-tracer" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracer into .claude/skills/doca-dpa-hl-tracer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpa-hl-tracer", 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/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracerType 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 NVIDIA/skills --skill doca-dpa-hl-tracer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install NVIDIA/skills doca-dpa-hl-tracer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/doca-dpa-hl-tracer .agents/skills/doca-dpa-hl-tracer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "doca-dpa-hl-tracer" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracer into .agents/skills/doca-dpa-hl-tracer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpa-hl-tracer", 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 NVIDIA/skills --skill doca-dpa-hl-tracer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install NVIDIA/skills doca-dpa-hl-tracer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/doca-dpa-hl-tracer .cursor/skills/doca-dpa-hl-tracer && 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 "doca-dpa-hl-tracer" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracer into .cursor/skills/doca-dpa-hl-tracer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpa-hl-tracer", 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/NVIDIA/skills.git --path skills/doca-dpa-hl-tracer--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 NVIDIA/skills --skill doca-dpa-hl-tracer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install NVIDIA/skills doca-dpa-hl-tracer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/doca-dpa-hl-tracer .gemini/skills/doca-dpa-hl-tracer && 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 "doca-dpa-hl-tracer" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracer into .gemini/skills/doca-dpa-hl-tracer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpa-hl-tracer", 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 NVIDIA/skills doca-dpa-hl-tracerInstalls 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 NVIDIA/skills --skill doca-dpa-hl-tracer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/doca-dpa-hl-tracer .github/skills/doca-dpa-hl-tracer && 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 "doca-dpa-hl-tracer" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracer into .github/skills/doca-dpa-hl-tracer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpa-hl-tracer", 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 NVIDIA/skills --skill doca-dpa-hl-tracer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install NVIDIA/skills doca-dpa-hl-tracer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/doca-dpa-hl-tracer .opencode/skills/doca-dpa-hl-tracer && 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 "doca-dpa-hl-tracer" agent skill from https://github.com/NVIDIA/skills/tree/main/skills/doca-dpa-hl-tracer into .opencode/skills/doca-dpa-hl-tracer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "doca-dpa-hl-tracer", 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.
doca-dpa-hl-tracerA skill your agent uses when the user runs docadpahltracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR…
Doca Dpa Hl Tracer is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user runs docadpahltracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR submission, completion drain) — picking TRACE vs CRIT, tuning the JSON config (file-size limits + filesizelimitpolicy, thread priorities/cores), decoding against the matching DPA-side ELF, or diagnosing empty/noisy captures. Trigger even when the user does not explicitly mention "DOCA DPA tracer" or "high-level tracer" — typical implicit…
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField device whose DPA processor is exposed to the…
It sits in Development. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 14a98ae. 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.
No scripts in the folder and no shell commands in SKILL.md.
From 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.
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField device whose DPA processor is exposed to the host, plus the DOCA DPA Tools optional component (binary at /opt/mellanox/doca/tools/doca_dpa_hl_tracer). Requires a DPACC-built DPA-side ELF and a live doca-dpa-launched workload for events to fire.
From compatibility in the SKILL.md frontmatter.
Doca Dpa Hl Tracer loads about 4.3k tokens when it runs. Until then it costs about 258 tokens; SKILL.md has 1,974 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 NVIDIA/skills at commit 14a98ae, republished under its Apache-2.0 licence (© NVIDIA). 1,974 words, ~4,341 tokens.
.claude/skills/doca-dpa-hl-tracer/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Where to start: This is a tool skill for invoking
doca_dpa_hl_tracer — the documented host-side CLI that
captures DPA-side execution traces in higher-level terms
(DPA programming events: kernel entry / exit, sync points,
comm primitive calls, RDMA WR submission, completions) rather
than raw cycle counts. Open TASKS.md and start at
## configure for the
mode-vs-overhead decision and the JSON config layout, then
## run for the
capture → decode → render pipeline. Open
CAPABILITIES.md when the question is
what does this tool actually trace, which DPA programming
events does it expose, what is the trace-overhead vs
fidelity tradeoff, or how does it slot into a DPA debug
loop alongside doca-dpa
and doca-debug. If DPA is not
the right surface for the user's question (e.g. the bug is
host-side, the bug is in the DPACC-produced image, the user
wants raw cycle counts), the path-selection rule in
CAPABILITIES.md ## Capabilities and modes
routes the agent before any capture is attempted.
The CLASSES of doca_dpa_hl_tracer questions this skill is
built to answer, each with one worked example. The class is
the load-bearing piece; the worked example is one instance.
doca_dpa_kernel_launch_update_* completes, but the
kernel's reported result is wrong; no host-side
DOCA_ERROR_*". Answered by the when DPA-side
high-level tracing is the right surface gate in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## run + the
which DPA programming events to focus on rule in
TASKS.md ## debug.CAPABILITIES.md ## Capabilities and modesTASKS.md ## test which treats trace
overhead, mode (TRACE vs CRIT), and capture window
as axes to tune.TRACE mode
is producing too much data and my measured DPA latency
went up by 2x compared to without the tracer". Answered
by the mode-vs-overhead tradeoff in
CAPABILITIES.md ## Capabilities and modesCRIT-first guidance in
TASKS.md ## configure (start
with critical-events-only; widen to TRACE only when the
bug demands per-event detail).log_file_max_size_in_bytes /
bin_file_max_size_in_bytes / file_size_limit_policy
triple in
CAPABILITIES.md ## Capabilities and modesTASKS.md ## configure.doca-dpa library and DPACC compiler
version?" — worked example: "is the tracer ABI on my
install compatible with the DPA image my DPACC just
produced?". Answered by the version-overlay in
CAPABILITIES.md ## Version compatibility,
which redirects to the canonical
doca-version chain and
adds the tracer ↔ doca-dpa library ↔ DPACC compiler
match rule.doca_dpa_hl_tracer
ran, wrote a file, but the parser shows zero events".
Answered by the layered error taxonomy in
CAPABILITIES.md ## Error taxonomy
(install / device-binding / DPA-image-instrumented /
capture-window / decode-vs-elf / overhead-saturated /
version / cross-cutting) + the layered walk in
TASKS.md ## debug.This skill serves external developers, platform operators,
and AI agents who have already brought up a DPA-side workload
through doca-dpa and now
need higher-level visibility into what the DPA kernel is
actually doing on the wire — DPA programming events
ordering, sync gaps, comm-call latencies, RDMA-WR / completion
timing — without dropping all the way down to raw cycle
counters. Concretely:
doca-pcc) and needs to localize a regression to the
DPA side without instrumenting the application.doca-dpa TASKS.md ## debug
ladder when the host side reports clean completions but
the DPA-side behaviour is wrong.It is not for users debugging the tracer binary itself,
not a substitute for the live public DOCA DPA Tools
guide, not the right place for users learning how to
write a DPA kernel (that audience belongs in
doca-dpa plus the public
DOCA DPA / DPACC / DPA-Comms / DPA-Verbs guides), and not
the right place for raw per-instruction cycle profiling
(different surface, different tool — route via
doca-public-knowledge-map ## DOCA tools).
The tracer is shipped as a CLI binary under
/opt/mellanox/doca/tools/, not a library you link against.
The skill uses the same kind: tool three-file shape as
the rest of the bundle so the agent's task-verb contract is
uniform across libraries, services, and tools.
doca_dpa_hl_tracer is a C++ host-side CLI. Its inputs are
its JSON config file, the DPA-side ELF (the
doca_dpa_app-class image produced by DPACC), and a running
DPA-side workload that the host-side doca-dpa lifecycle
already started. Its outputs are a binary trace file
(bin_file) and a human-readable log file (log_file).
The skill keeps the workflow guidance language-neutral —
the DPA-side workload it traces can be C compiled by DPACC
or any other DPA translation unit DPACC accepts — and
routes per-language questions to the public DPA / DPACC
guides via
doca-public-knowledge-map.
Load this skill when the user is — or the agent needs to —
invoke doca_dpa_hl_tracer on a real host with DOCA
installed against a BlueField with a DPA processor visible to
the host, and the host-side
doca-dpa lifecycle has
already brought a DPA workload up at least once. Concretely:
doca-dpa lifecycle reports clean completions.TRACE and CRIT capture modes based
on the bug-vs-overhead tradeoff and the available
capture window.bin_file against the matching
DPA-side ELF to render the human-readable event stream.doca-dpa TASKS.md ## debug
ladder step.Do not load this skill for general DOCA orientation,
DPA-side programming model questions, raw cycle profiling,
or DOCA / DPACC install. For those, route to
doca-public-knowledge-map,
doca-dpa, or
doca-setup.
This is a thin loader. Substantive material lives in two companion files:
CAPABILITIES.md — what doca_dpa_hl_tracer captures: the
DPA programming event taxonomy (kernel entry / exit, sync
points, comm primitive calls, RDMA WR submission and
completion drain), the two documented capture modes
(TRACE for full per-event, CRIT for critical-events
only), the trace-overhead-vs-fidelity tradeoff, the
config-file shape (receiver / binary-writer / file-writer
/ printer threads with priority + core affinity, file
size limits, file_size_limit_policy), the
capture-window + workload-must-be-running invariant, the
ELF-must-match-image rule for decode, the
version-availability overlay (tracer ↔
doca-dpa library ↔
DPACC compiler), the layered error taxonomy
(install / device-binding / image-instrumented /
capture-window / decode / overhead-saturated / version /
cross-cutting), the observability surface (binary trace
file + log file + tool's own stderr), and the safety
policy (capture is bounded; tracing is not a production
observability surface).TASKS.md — step-by-step workflows for the in-scope
task verbs: install (route to host-side DOCA install +
DPA prerequisites), configure (mode + JSON config
layout + capture window), build (route to install —
the binary is shipped, the DPA-side application is
user-built by DPACC), modify (refuse — do not patch
the binary; modify the JSON config and the invocation
instead), run (the capture flow with --mode,
--config-file, --output-file), test (iterative
loop tuning mode, window, and overhead), debug (walk
the error taxonomy), use (consume the decoded trace
in a doca-dpa debug session), plus a Deferred task verbs block.The skill assumes a host where DOCA is already installed at
the standard location, a BlueField with a DPA processor is
present and visible to the host, the DPACC compiler is
installed at a version matched to the host-side DOCA, the
DPA-side application image (the ELF the tracer decodes
against) is on disk and matches what the
doca-dpa lifecycle loaded,
and the operator has the privileges the public DOCA DPA
Tools guide requires.
This skill is agent guidance, not a samples or scripts bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add:
--help
document. The DPA programming events surface evolves
release to release; --help on the installed binary is
the authoritative inventory.samples/ or reference/ subtree. This is a thin
loader for a shipped CLI; substantive material lives on
the public page, in --help, and in
doca-dpa.SKILL.md first to confirm the user's question
is in scope (DPA-side high-level tracing, not DPA-side
programming and not raw cycle profiling).install,
configure, build, modify, run, test, debug,
use — see TASKS.md.doca-dpa — the host-side
DPA control library whose loaded application image the
tracer captures. Pair them in every DPA debug session:
doca-dpa brings the workload up; the tracer captures
what the workload does at the DPA programming event
layer. Conflating the library with the tracer is the
most common DPA-debug first-touch error.doca-debug — the
cross-cutting debug ladder. The tracer slots in at the
runtime layer as the DPA-side ground truth before any
DPA-side perf or correctness conclusion is made.doca-public-knowledge-map
— routing to the public DOCA DPA Tools page on
docs.nvidia.com and the rest of the public DOCA
documentation set.doca-version — canonical
DOCA version-handling rules. The ## Version compatibility section in CAPABILITIES.md
is a concise overlay that redirects here for the body
and adds the tracer ↔ doca-dpa library ↔ DPACC
compiler matching rule.doca-setup — env
preparation, install verification, DPACC compiler
install / verification, BlueField mode (the DPA
processor must be exposed before any tracing is
meaningful), and the I have no install yet path with
the public NGC DOCA container.doca-structured-tools-contract
— the bundle's detect → prefer → fall back → report
contract for structured helper tools. The command
appendix in TASKS.md honors this contract.doca-programming-guide
— general DOCA programming patterns shared by every
library / tool surface, including the cross-library
DOCA_ERROR_* taxonomy this tool's host-side error
layer overlays on top of when host-side doca-dpa
calls fail in tandem.The DPA-side companion libraries doca-dpa-comms (comm
primitives the DPA kernel itself calls) and
doca-dpa-verbs (RDMA verbs the DPA kernel itself calls)
are different artifacts that the tracer's DPA
programming events surface visibly names; for the
DPA-side programming model itself, route through
doca-public-knowledge-map
to the public DOCA DPA-Comms and DPA-Verbs guides and to
the shipped /opt/mellanox/doca/samples/doca_dpa/ samples.
This tool traces their use; it does not redefine them.
© NVIDIA, 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
SKILL.md and 7 other files in skills/doca-dpa-hl-tracer of NVIDIA/skills.
Open the folder on GitHubat commit 14a98ae
Doca Dpa Hl Tracer 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 |
|---|---|---|---|---|---|---|
| Doca Dpa Hl Tracer this skillNVIDIA/skills | 3.6k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
NVIDIA/skills
A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice.
NVIDIA/skills
Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything.
NVIDIA/skills
Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server.
NVIDIA/skills
Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling.
NVIDIA/skills
Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download.
NVIDIA/skills
Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV.
Categories
A skill your agent uses when the user runs docadpahltracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR…. Doca Dpa Hl Tracer is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. Use this skill when the user runs docadpahltracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit, sync points, comm primitive calls, RDMA WR submission, completion drain) — picking TRACE vs CRIT, tuning the JSON config (file-size limits + filesizelimitpolicy, thread priorities/cores), decoding against the matching DPA-side ELF, or diagnosing empty/noisy captures.
Doca Dpa Hl Tracer fits situations like: the user runs docadpahltracer to capture/decode DPA-side traces at the programming-events layer (kernel entry/exit; comm primitive calls; RDMA WR submission; completion drain) — picking TRACE vs CRIT.
Run `npx skills add NVIDIA/skills --skill doca-dpa-hl-tracer -a claude-code`. Or copy the skill folder (skills/doca-dpa-hl-tracer in NVIDIA/skills) into .claude/skills/doca-dpa-hl-tracer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add NVIDIA/skills --skill doca-dpa-hl-tracer -a codex`. Or copy the skill folder (skills/doca-dpa-hl-tracer in NVIDIA/skills) into .agents/skills/doca-dpa-hl-tracer 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 NVIDIA/skills --skill doca-dpa-hl-tracer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doca-dpa-hl-tracer, .gemini/skills/doca-dpa-hl-tracer, .github/skills/doca-dpa-hl-tracer and .opencode/skills/doca-dpa-hl-tracer in your project.
SKILL.md names no scripts, command-line tools or credentials: Doca Dpa Hl Tracer is instructions for the agent only. Compatibility (from SKILL.md): Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField device whose DPA processor is exposed to the host, plus the DOCA DPA Tools optional component (binary at /opt/mellanox/doca/tools/doca_dpa_hl_tracer). Requires a DPACC-built DPA-side ELF and a live doca-dpa-launched workload for events to fire. .
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.
Doca Dpa Hl Tracer is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.3k tokens (SKILL.md is roughly 17k 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 Doca Dpa Hl Tracer: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,555 GitHub stars. The repository holds 390 skills in this directory. The repository was last updated on October 9, 2026.
Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.