> Use this skill when the user is invoking the DOCA PCC Counters tool — the `pcc_counters.sh` bash script under the DOCA tools directory — to arm and read the fixed firmware/hardware PCC (Programmable Congestion Control) diagnostic counters (CNP, RTT, WRED-drop, etc.) on a ConnectX / BlueField device via mst + the mlx5 debugfs `diag_cnt` interface. The script takes two positional args — `set | query` and an mst device path — with no `--help` or subcommands. Trigger even without "pcc_counters.sh" or "PCC "PCC counter stuck at zero", "the script says Bad Device", or "is congestion control dropping packets on this port?". Route elsewhere for writing a custom PCC algorithm (doca-pcc), factory firmware PCC config, DOCA install, or fleet-wide CC tuning.
npx skills add https://github.com/NVIDIA/skills --skill doca-pcc-counters
pcc_counters.sh)Where to start: This is a tool skill for invoking
pcc_counters.sh — a small bash script that arms and reads the
device's fixed set of firmware / hardware **PCC diagnostic
counters** (CNP count, RTT-perf, WRED-drop, RTT-gen, handled
events) through the mlx5 debugfs diag_cnt interface. Open
TASKS.md and start at ## run for
the canonical set-then-query sequence, or
## debug when the user reports
*"ERROR: Bad Device"*, *"counter stuck at zero"*, or *"the
dump is empty"*. Open CAPABILITIES.md when
the question is *which counters the script reports and how it
reaches them*. If the user has not installed DOCA / MFT yet,
route to doca-setup first.
This skill is the firmware / HW PCC counter readout surface.
It is NOT the host-side control library that loads custom
congestion-control kernels onto the DPA (that is
doca-pcc) and it is NOT the
firmware PCC *algorithm* configuration (that path is firmware
configuration, routed via
doca-public-knowledge-map).
The counters this script reads are device / firmware
diagnostic counters that exist **regardless of whether a custom
doca-pcc DPA kernel is running** — do not condition them on a
custom kernel being loaded.
The CLASSES of pcc_counters.sh 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.
device?"** — worked example: *"arm and dump the CNP / RTT /
WRED-drop counters for /dev/mst/mt41692_pciconf0"*.
Answered by the fixed counter set in
CAPABILITIES.md ## Capabilities and modes
+ the set-then-query invocation in
TASKS.md ## run.
example: *"what exactly do I type?"*. Answered by the
two-positional-argument contract
(set | query + an mst device path) in
TASKS.md ## run.
ERROR: Bad Device — what's wrong?"— worked example: *"my device path is not matching"*.
Answered by the device-resolution layer in
CAPABILITIES.md ## Error taxonomy
+ TASKS.md ## debug.
counters not armed, or genuinely no events?"** — worked
example: *"PCC_CNP_COUNT reads 0 after query"*. Answered
by the arm-before-read rule and the layered diagnosis in
TASKS.md ## debug +
CAPABILITIES.md ## Error taxonomy.
example: *"is pcc_counters.sh present and where does the
install put it"*. Answered by the install overlay in
CAPABILITIES.md ## Version compatibility,
which redirects to the canonical
doca-version rules.
This skill serves **operators, developers, and AI agents who
need to read a ConnectX / BlueField device's firmware PCC
diagnostic counters** to reason about congestion-control
behaviour (CNP generation, RTT requests/responses, WRED
drops) on a port. Concretely:
events (CNPs, RTT, WRED drops) are occurring on a device.
doca-pcc algorithm'seffect with the device-level PCC diagnostic counters
(the script reads the firmware counters; the custom
algorithm itself is a separate surface owned by
doca-pcc).
for a congestion-control investigation.
It is not for users debugging the script's bash itself,
not the place to learn how to write a custom PCC
algorithm — that audience belongs in
doca-pcc — and not the
place for users who want to configure the factory firmware PCC
algorithm (route via
doca-public-knowledge-map).
pcc_counters.sh is shipped as a plain bash script
installed under the DOCA tools directory (per install_data in
tools/pcc_counters/meson.build), not a compiled binary and
not a library you link against. The skill uses the bundle's
kind: tool three-file shape (SKILL.md + CAPABILITIES.md
+ TASKS.md) so the agent's task-verb contract
(configure / build / modify / run / test / debug) is uniform
across the bundle.
Load this skill when the user is — or the agent needs to —
arm and read the device PCC diagnostic counters on a host or
BlueField Arm with the mst tools available and debugfs
mounted. Concretely:
set on a target mstdevice.
query and quoting thenamed counter lines verbatim.
congestion-control investigation.
Do not load this skill for general DOCA orientation,
custom-PCC algorithm design, the host-side doca-pcc library
API, the factory firmware PCC algorithm, or DOCA / MFT install.
For those, route to
doca-public-knowledge-map,
doca-pcc, or
doca-setup.
This is a thin loader. Substantive material lives in two
companion files:
CAPABILITIES.md — what pcc_counters.sh does: the exacttwo-operation surface (set arms the device's diagnostic
counters by writing counter IDs + params to debugfs;
query reads the diag_cnt/dump and prints the named
counters), the FIXED firmware / HW counter set it knows
(PCC_CNP_COUNT, the MAD_RTT_PERF_CONT_*, the
*_EVENT_WRED_DROP family, HANDLED_*_EVENTS, the
DROP_RTT_PORT*/RTT_GEN_PORT* families), how it resolves
an mst device to a PCI address (mst status -v + lspci)
and reaches /sys/kernel/debug/mlx5/<pci>/diag_cnt/, the
install-availability overlay that redirects to
doca-version, the layered
error taxonomy (script-not-present / bad-device /
not-armed-before-query / debugfs-or-permission /
counter-stuck-at-zero / cross-cutting), and the safety
policy that flags set as a privileged debugfs write and
any CC tuning decision derived from a reading as
high-stakes.
TASKS.md — step-by-step workflows for the in-scope taskverbs: configure (route to install + confirm mst /
debugfs / sudo), build (route to install; nothing to
compile — it is a script), modify (refuse — do not patch
the shipped script), run (the set-then-query
sequence), test (confirm the dump contains the named
counters with finite values), debug (the layered
diagnosis ladder), plus a Deferred task verbs block and a
Command appendix.
The skill assumes a host or BlueField where DOCA / MFT is
already installed (mst tools present, debugfs mounted, sudo
available) and the target device is visible to mst status -v.
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:
pcc_counters.sh hasexactly two operations (set, query), takes exactly two
positional arguments, and has NO --help, --version,
list, snapshot, watch, or diff. Do not invent any.
device-, firmware-, and traffic-state-specific; a captured
value will mislead an operator on a different device.
The script is the contract; modifying or re-implementing it
is out of scope.
derived from a counter reading.** That is a high-stakes
domain question — the skill prescribes how to *capture* the
counters; it refuses to translate a delta into a CC
parameter change without the user's own domain analysis.
samples/ or reference/ subtree. This is a thinloader for a documented script; substantive material lives
in the script and the public PCC documentation.
SKILL.md first to confirm the user's questionis in scope (reading the device's firmware PCC diagnostic
counters; not designing or loading a custom algorithm).
debugfs mechanism, the install-availability overlay, the
layered error surface, and the safety posture, see
CAPABILITIES.md.**
configure, build,modify, run, test, debug, plus the `Command
appendix` — see TASKS.md.**
doca-pcc — the host-sidelibrary for writing and loading custom congestion-control
kernels onto the DPA. It is a SEPARATE surface: the
firmware PCC diagnostic counters pcc_counters.sh reads
exist independently of any custom doca-pcc kernel, but an
operator tuning a custom algorithm may read these counters
to observe device-level CC behaviour. Conflating the script
(firmware counter readout) with the library (custom
algorithm load/control) is the most common PCC first-touch
error.
doca-public-knowledge-map— routing to the public DOCA / PCC documentation set,
including the firmware PCC algorithm configuration.
doca-version — canonicalDOCA version-handling rules. The ## Version compatibility
section in CAPABILITIES.md is a concise
overlay that redirects here.
doca-setup — env preparation,install verification, mst tools, debugfs, and the
*I have no install yet* path with the public NGC DOCA
container. This skill assumes its preconditions are
satisfied.
doca-debug — thecross-cutting debug ladder. The PCC counter readout slots
in as a read-only device-state evidence source before any
congestion-control tuning recommendation is made.
doca-programming-guide— general DOCA programming patterns shared across the
bundle.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
Use when implementing any feature or bugfix, before writing implementation code
Use when you have a spec or requirements for a multi-step task, before touching code
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
| Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.
Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
Take nvidia/doca-pcc-counters 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.