> 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.
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.
Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
Analyze the protocol layer between agent harness and LLM model. Use when (1) understanding message wire formats and API contracts, (2) examining tool call encoding/decoding mechanisms, (3) evaluating streaming protocols and partial response handling, (4) identifying agentic chat primitives (system prompts, scratchpads, interrupts), (5) comparing multi-provider abstraction strategies, or (6) understanding how frameworks translate between native LLM APIs and internal representations.
Translate SKILL.md and README.md files into multiple languages for sharing skills internationally
| Shared workflow for editing Langfuse's repo-owned agent setup under `.agents/`. Use when changing AGENTS files, shared skills, `.agents/config.json`, generated shim behavior, provider discovery paths, or install-time agent sync.
>- Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).
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.