nvidia/doca-dpa-hl-tracer
> Use this skill when the user runs doca_dpa_hl_tracer 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 + file_size_limit_policy, 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 phrasings include "DPA kernel returns wrong result but host completions look clean", "kernel-entry to first-comm latency is huge", "RDMA WR to drain gap on the DPA", "trace file truncated mid-run", "TRACE doubled my DPA latency", or "tracer wrote a file but parser shows zero events". Refuse and route elsewhere for writing DPA kernels, DPA-Comms/DPA-Verbs programming, raw per-cycle DPA profiling, host-side doca-dpa debugging, or production DPA telemetry — those belong to other skills.
npx skills add https://github.com/NVIDIA/skills --skill doca-dpa-hl-tracer
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.
look?"** — worked example: *"my host-side
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 modes
+ the
capture → decode → render flow in
TASKS.md ## run + the
*which DPA programming events to focus on* rule in
TASKS.md ## debug.
show up in cycle profiles — how do I see kernel-entry to
first-comm-call latency?"** — worked example: *"my DPA
kernel runs but the time between launch and the first
RDMA WR submission is bigger than I expected"*. Answered
by the event-taxonomy table in
CAPABILITIES.md ## Capabilities and modes
+ the iterative loop in
TASKS.md ## test which treats trace
overhead, mode (TRACE vs CRIT), and capture window
as axes to tune.
observation overhead?"** — worked example: *"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 modes
+ the CRIT-first guidance in
TASKS.md ## configure (start
with critical-events-only; widen to TRACE only when the
bug demands per-event detail).
configure the file-size limits?"** — worked example:
*"binary trace file hit 5 GB and the capture stopped"*.
Answered by the log_file_max_size_in_bytes /
bin_file_max_size_in_bytes / file_size_limit_policy
triple in
CAPABILITIES.md ## Capabilities and modes
+ the JSON config layout in
TASKS.md ## configure.
matching 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.
install broken, no events fired, or am I tracing the
wrong thing?"** — worked example: *"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:
the host side but whose kernel's *result* is wrong or
whose *DPA-side performance* is below expectation, and
who needs a DPA-side ground truth before triaging.
offload from accelerator, custom CC algorithm via
doca-pcc) and needs to localize a regression to the
DPA side without instrumenting the application.
evidence for the host-side
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:
wrong-result or wrong-ordering behaviour when the
host-side doca-dpa lifecycle reports clean completions.
performance gap (kernel-entry to first-comm latency,
RDMA-WR-issue to completion gap, sync-point dwell time)
at a granularity above raw cycle counts.
TRACE and CRIT capture modes basedon the bug-vs-overhead tradeoff and the available
capture window.
affinities, file size limits, file-size-limit policy) so
the capture itself does not perturb the workload more
than the bug it is investigating.
bin_file against the matchingDPA-side ELF to render the human-readable event stream.
evidence for a host-side
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: theDPA 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-scopetask 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:
beyond what the public DOCA DPA Tools page and --help
document.** The DPA programming events surface evolves
release to release; --help on the installed binary is
the authoritative inventory.
Trace output is workload-, DPA-image-, BlueField-, and
firmware-specific; a captured example pinned to one
setup misleads operators elsewhere.
language that consume the binary trace format. The
format is documented; users who want to script against
it should read the live guide and write the parser
against their installed version.
trace.** A DPA-side perf decision (move a sync, batch a
comm call, change a launch argument) is a workload
question and the skill prescribes how to *capture and
read* traces — it refuses to translate a captured gap
into a kernel-rewrite recommendation without the user's
own analysis.
samples/ or reference/ subtree. This is a thinloader 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 questionis in scope (DPA-side high-level tracing, not DPA-side
programming and not raw cycle profiling).
tradeoff, JSON config layout, version overlay, error
taxonomy, observability, and safety policy, see
CAPABILITIES.md.**
capture → decode → render workflow — install,
configure, build, modify, run, test, debug,
use — see TASKS.md.**
doca-dpa — the host-sideDPA 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 — thecross-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 — canonicalDOCA 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 — envpreparation, 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.
Take nvidia/doca-dpa-hl-tracer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.