About doca-spcx-cc
doca-spcx-cc is an agent skill for operating the host-side `doca_spcx_cc` CLI to load and evaluate SPCX congestion-control algorithms on BlueField DPA hardware. It guides surface selection, contention-based testing, runtime observation, and rollout safety.
Key features
- 01Compare SPCX, `doca-pcc`, and factory firmware
- 02Load and run SPCX algorithms with the CLI
- 03Evaluate algorithms under fabric contention
- 04Observe link and algorithm behavior
- 05Plan testing, rollback, and production rollout
Use cases
- 01Choose a congestion-control path for a custom algorithm
- 02Test an SPCX algorithm on a non-production fabric
- 03Investigate why throughput or latency did not change
- 04Assess rollout readiness with evidence and rollback
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ nvidia/ skills --skill doca-spcx-ccAfter installing, type/doca-spcx-ccin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
BENCHMARK.mdCAPABILITIES.mdskill-card.mdskill.oms.sigSKILLCARD.yamlTASKS.mdevals/evals.jsonDetails
From the project READMEDOCA SPCX Congestion-Control Tool
Examples
- "Should I use SPCX or
doca-pccfor a custom CC algorithm?" — this is in scope. Walk the decision tree before loading anything on a live fabric. - "SPCX loaded but throughput did not change." — confirm the algorithm is in charge before retuning parameters.
Instructions
Follow Loading order below. Open the tasks companion for configure / run. Open the capabilities companion for the SPCX-vs-PCC tradeoff and safety. Do not open every companion file.
Where to start: This is a tool skill for invoking
doca_spcx_cc — the documented host-side CLI that exercises
an SPCX-class Programmable Congestion Control algorithm on a
live RDMA / RoCE fabric driven by a BlueField with a DPA
processor. Open the tasks companion and start at
## configure for the
SPCX-vs-PCC-vs-factory-firmware decision tree (load-bearing
gate before any code), the role decision (RP / NP), the
DPA-side algorithm authoring vs consumption split, and the
live-link / contention precondition. Open
the capabilities companion when the question is
what does SPCX let me express that doca-pcc does not,
what is the SPCX-vs-PCC tradeoff, what runtime metrics
does the tool surface, or what is the safety posture for
loading a custom CC algorithm on a production fabric. If
DOCA is not installed yet, route to
doca-setup/SKILL.md first.
This skill is the next-gen programmable-CC surface.
doca-pcc/SKILL.md is the established
PCC story; SPCX is the documented extension that authors
SPCX-class algorithms on the same DPA hardware substrate.
doca-pcc-ztr-rttcc-algo/SKILL.md
is one shipped reference algorithm (zero-touch RTT-based
CC) that can be loaded through either the PCC or SPCX path
depending on the install and the user's algorithm choice;
the agent surfaces this decision tree explicitly per
the capabilities companion.
Example questions this skill answers well
The CLASSES of doca_spcx_cc 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.
- "Should I use SPCX or
doca-pccfor my custom CC algorithm?" — worked example: "I want to write a new RTT-based congestion-control algorithm for my RoCE fabric — which surface do I target?". Answered by the SPCX-vs-PCC-vs-factory-firmware decision tree in the capabilities companion- the "is SPCX the right surface on this install?" gate in the tasks companion step 1.
- "How do I evaluate my authored SPCX algorithm on a
real RDMA link before letting it touch production?" —
worked example: "I have a DPACC-compiled SPCX algorithm
and a non-prod BlueField pair; how do I run a
contention-positive evaluation?". Answered by the
authoring vs consumption split + the live-link
precondition in
the capabilities companion
- the replica-first evaluation flow in the tasks companion.
- "My SPCX algorithm appears to load cleanly but the
link's throughput / latency curve is unchanged — what's
going on?" — worked example: "the host-side
doca_pcc --statusreportsActiveand a stable session, but my RoCE flows look unchanged". Answered by the live-link / contention rule in the capabilities companion- the "algorithm has no signal under no contention" guidance in the tasks companion + the tasks companion (route through the layered error taxonomy before blaming the algorithm).
No contention → no signal → no conclusion.
Activeplus an unchanged traffic curve is not evidence that the algorithm failed to take over from factory CC. A CC algorithm has no observable behaviour without actual contention on the fabric, so an idle-link or contention-absent run is uninformative by construction — it supports no verdict in either direction. Establish that the run actually generated contention before concluding anything, and never declare an algorithm either broken or safe on such a run. Rule in the capabilities companion.
- "My SPCX algorithm passed replica testing — what's
the gate before I roll it forward to production?" —
worked example: "my CC algorithm works on the two
BlueField pairs in the lab; can I push it to the
fleet?". Answered by the safety overlay in
the capabilities companion
(heavily cross-linked to
doca-hardware-safety/SKILL.md): blast-radius bounded, observability gate proven, OOB reachable, factory-PCC rollback rehearsed, escalation path documented before any production cutover. - "Is
doca_spcx_ccon my install, and is it paired with the matchingdoca-pcclibrary and DPACC compiler version?" — worked example: "is the SPCX surface available on my DOCA install?". Answered by the version-overlay in the capabilities companion, which redirects to the canonicaldoca-version/SKILL.mdchain and adds the tool ↔doca-pcclibrary ↔ DPACC compiler ↔ firmware custom-PCC slot match rule. - "My SPCX session errored — is it the tool, the
algorithm, the device, or the firmware?" — worked
example: "
doca_spcx_ccexits withDOCA_PCC_PS_ERRORon start". Answered by the layered error taxonomy in the capabilities companion- the layered walk in the tasks companion.
Audience
This skill serves external developers, platform operators, and AI agents authoring, loading, and evaluating an SPCX-class Programmable Congestion Control algorithm on a BlueField with a DPA processor, against a live RDMA / RoCE fabric. Concretely:
- A CC researcher / developer who has authored an
SPCX-class DPA-side algorithm (or who is consuming a
documented shipped reference such as the zero-touch
RTT-based algorithm via
doca-pcc-ztr-rttcc-algo/SKILL.mdon the SPCX path when the install + algorithm support it) and needs the operator-side harness to load, parameterize, start, observe, and stop the algorithm. - A platform operator running a programmable-CC pilot on a non-prod RDMA fabric to characterise the algorithm's behaviour under controlled contention.
- An AI agent producing a "is this SPCX algorithm safe to roll forward" answer honestly — with evidence from a contention-positive evaluation, a documented rollback to the factory PCC, and an explicit blast- radius bound — instead of a guess from datasheet prose.
It is not for users debugging the doca_spcx_cc
binary itself, not a substitute for the live public
DOCA SPCX / DOCA PCC programming guides, not the
right place for the DPA-side algorithm authoring detail
(that path goes through the public DOCA SPCX programming
guide and the
doca-pcc/SKILL.md +
doca-dpa/SKILL.md skills), and
not the right place for default factory PCC
configuration (no host-side library or SPCX tool needed;
route via
doca-public-knowledge-map/SKILL.md).
The tool is shipped as a CLI binary under
/opt/mellanox/doca/tools/, not a library you link
against; it uses the same kind: tool three-file
shape as the rest of the bundle.
Language scope
doca_spcx_cc is a C host-side CLI that links the
host-side doca-pcc/SKILL.md
library and loads a DPA-side SPCX algorithm image built
by the DPACC compiler. The algorithm body is a separate
DPA-side translation unit written in the language DPACC
accepts. The skill keeps workflow guidance
language-neutral and routes per-language questions to
the public DOCA SPCX / DOCA PCC / DPACC guides via
doca-public-knowledge-map/SKILL.md.
When to load this skill
Load this skill when the user is — or the agent needs to
— invoke doca_spcx_cc on a real host with DOCA
installed, paired with a BlueField that has its DPA
processor exposed AND the firmware custom-PCC slot
enabled, against a port carrying RDMA / RoCE traffic with
actual contention. Concretely:
- Loading an authored SPCX algorithm (or a documented shipped reference) onto the BlueField via the SPCX surface, parameterizing it, starting it, and observing its effect on the live link.
- Evaluating an SPCX algorithm on a non-prod replica before any production rollout — capturing the contention-positive run as evidence.
- Comparing SPCX vs
doca-pccpaths for the same algorithm class on the same install (where both paths are available) and deciding which to commit to. - Producing a "safe to roll forward" recommendation with the documented evidence + rollback plan, or refusing the recommendation when the evidence / rollback is missing per the capabilities companion.
- Diagnosing a
DOCA_PCC_PS_ERRORor a silent-no-effect symptom against the layered error taxonomy.
Do not load this skill for general DOCA orientation,
DPA-side algorithm authoring detail, raw cycle profiling
of the DPA, the factory PCC algorithm shipped in the
firmware, or DOCA install. For those, route to
doca-public-knowledge-map/SKILL.md,
doca-pcc/SKILL.md,
doca-dpa/SKILL.md, or
doca-setup/SKILL.md.
What this skill provides
This is a thin loader. Substantive material lives in two companion files:
- the capabilities companion — what SPCX expresses that PCC does
not (and where the surfaces overlap), the
SPCX-vs-PCC-vs-factory-firmware decision tree, the
authoring vs consumption split, the role decision
(RP / NP), the documented probe-packet format axis,
the live-link / contention precondition rule (the
load-bearing safety invariant — "a CC algorithm has
no signal under no contention"), the runtime
observability surface (per-port / per-flow trace
formats + the host-side status surface), the
triple-axis precondition rule
(
doca-pcc/SKILL.md: DPA-capable BlueField + firmware custom-PCC slot enabled +doca_pcc_cap_*agreement) extended with SPCX-specific availability, the version overlay (tool ↔ library ↔ DPACC ↔ firmware), the layered error taxonomy (install / device-binding / fw-slot / DPA-image / algorithm-precondition / live-link-precondition / runtime / version / cross-cutting), the observability surface, and the heavily-overlaid safety posture (a wrong CC algorithm on production can melt the fabric). - the tasks companion — step-by-step workflows for the in-scope
task verbs:
install(host-side DOCA install + DPA prerequisites + firmware custom-PCC slot),configure(SPCX-vs-PCC decision + role + algorithm + parameters- probe-packet format),
build(route to install — the host-side tool is shipped; the DPA-side algorithm is user-built by DPACC),modify(refuse — do not patch the binary; modify the invocation, algorithm, and parameters),run(the prepare → smoke → contention-positive evaluation flow),test(iterative loop on the replica before production),debug(walk the error taxonomy),use(the "safe to roll forward" decision with evidence + rollback + escalation), plus aDeferred task verbsblock.
- probe-packet format),
The skill assumes a host where DOCA is already installed, a BlueField with a DPA processor and the firmware-level custom-PCC slot enabled is present and visible, the DPACC compiler is installed at a version matched to the host-side DOCA, the user already knows how (at sketch level) to write the DPA-side SPCX algorithm (or has a shipped reference algorithm to consume), and a non-prod RDMA / RoCE fabric with controllable contention is available for evaluation.
What this skill deliberately does not ship
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:
- A specific congestion-control algorithm. SPCX loads an algorithm the user supplies; the skill refuses to invent algorithm bodies and routes any "what algorithm should I write" question to the public DOCA SPCX / DOCA PCC programming guides and to the user's own domain expertise.
- Pre-baked example output (throughput / latency curves, per-flow counter snapshots). Output is device-, firmware-, fabric-topology-, and workload-specific; pinning one would mislead operators elsewhere.
- Flag strings, subcommand names, probe-packet format tokens,
or metric names beyond the public DOCA SPCX page and
--help. This surface still evolves; the installed--helpis the authoritative inventory. - Wrappers, parsers, or scripts consuming the tool's output. The format is documented; script against your installed version using the live guide.
- A tuning recommendation derived from a single observation. CC tuning on a live fabric is high-stakes: the skill prescribes how to capture evidence and compare against the factory PCC baseline, and refuses to turn one observation into a parameter change without the user's own domain analysis.
- A
samples/orreference/subtree. This is a thin loader for a shipped CLI; substantive material lives on the public page, in--help, and indoca-pcc/SKILL.md+doca-dpa/SKILL.md.
Loading order
- Read this skill first to confirm the user's question is in scope (SPCX-side custom CC work, not factory firmware PCC, not raw DPA cycle profiling, and not algorithm authoring detail).
- For the SPCX-vs-PCC decision tree, the authoring vs consumption split, the live-link precondition, the version overlay, the error taxonomy, the observability surface, and the safety posture, see the capabilities companion.
- For the documented invocations and the
prepare → smoke → contention-positive evaluation
workflow —
install,configure,build,modify,run,test,debug,use— see the tasks companion.
Related skills
doca-pcc/SKILL.md— the host-side Programmable Congestion Control library SPCX builds on and links. The SPCX-vs-PCC decision tree in the capabilities companion is the load-bearing routing rule; conflating the two is the most common programmable-CC first-touch error.doca-pcc-ztr-rttcc-algo/SKILL.md— the shipped reference zero-touch RTT-based CC algorithm; the algorithm-side pair to this tool's operator-side workflow when deploying a reference algorithm rather than authoring one.doca-dpa/SKILL.md— the DPA control library the algorithm's DPA-side body builds on: kernel-launch model, DPACC build flags, DPA-side comms / verbs.doca-rdma/SKILL.md— the RDMA / RoCE flows being controlled. Without traffic in flight and contention on the fabric the algorithm has no signal; surface this precondition before any evaluation.doca-pcc-counters/SKILL.md— read-only PCC counter inspection; the cheaper "is anything happening on this port" step before or during an SPCX evaluation.doca-hardware-safety/SKILL.md— the bundle-wide hardware-safety meta-policy this skill's## Safety policylayers on. Deploying a wrong CC algorithm on a production fabric is a meta-policy STOP case.doca-public-knowledge-map/SKILL.md— routing to the public SPCX, PCC, and DPA / DPACC guides.doca-version/SKILL.md— canonical DOCA version handling.## Version compatibilityin the capabilities companion adds the tool ↔doca-pcc↔ DPACC ↔ firmware custom-PCC slot matching rule.doca-setup/SKILL.md— env preparation, install and DPACC compiler verification, BlueField firmware configuration (the custom-PCC slot is a firmware-level setting), and the no install yet path via the public NGC DOCA container.doca-debug/SKILL.md— the cross-cutting debug ladder. Cross-link runtime evidence and counter snapshots into adoca-debugsession when the cause sits below DOCA.doca-structured-tools-contract/SKILL.md— the detect → prefer → fall back → report contract the command appendix in the tasks companion honors.doca-programming-guide/SKILL.md— shared DOCA programming patterns, including the cross-libraryDOCA_ERROR_*taxonomy this tool's error layer overlays.
The factory PCC algorithms inside ConnectX firmware are not in
scope: they work without doca_spcx_cc and are configured through
firmware knobs, not a host-side API. Route via
doca-public-knowledge-map/SKILL.md.