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doca-pcc

Use this skill when the user is doing hands-on host-side DOCA PCC work to load a CUSTOM Programmable Congestion Control algorithm onto a BlueField DPU — creating per-port `doca_pcc` contexts, loading a `dpacc`-compiled `doca_pcc_app` onto the `doca_dev` for the RoCE-bearing port, parameterizing it, walking triple-axis capability discovery (DOCA cap-query + DPA-capable BlueField + firmware custom-PCC slot enabled), or debugging `DOCA_ERROR_*` from `doca_pcc_*`. Trigger even without explicit "DOCA PCC" phrasing — implicit forms include "loading my own congestion control onto a BF port", "DOCA_ERROR_NOT_PERMITTED on algorithm load", "DOCA_ERROR_DRIVER when I attach my custom algorithm", "my custom rate-update isn't affecting RoCE traffic", or "load succeeds but no on-wire change". Refuse and route elsewhere for DPA-side algorithm-body design, the `pcc_counters` CLI, default factory PCC in ConnectX firmware, or setting up the RDMA / RoCE traffic — those belong to other skills.

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NVIDIA/skills
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October 28, 2026 at 19:20
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license
Apache-2.0
name
doca-pcc
description
Use this skill when the user is doing hands-on host-side DOCA PCC work to load a CUSTOM Programmable Congestion Control algorithm onto a BlueField DPU — creating per-port `doca_pcc` contexts, loading a `dpacc`-compiled `doca_pcc_app` onto the `doca_dev` for the RoCE-bearing port, parameterizing it, walking triple-axis capability discovery (DOCA cap-query + DPA-capable BlueField + firmware custom-PCC slot enabled), or debugging `DOCA_ERROR_*` from `doca_pcc_*`. Trigger even without explicit "DOCA PCC" phrasing — implicit forms include "loading my own congestion control onto a BF port", "DOCA_ERROR_NOT_PERMITTED on algorithm load", "DOCA_ERROR_DRIVER when I attach my custom algorithm", "my custom rate-update isn't affecting RoCE traffic", or "load succeeds but no on-wire change". Refuse and route elsewhere for DPA-side algorithm-body design, the `pcc_counters` CLI, default factory PCC in ConnectX firmware, or setting up the RDMA / RoCE traffic — those belong to other skills.
metadata
{"author":"NVIDIA <doca-feedback@nvidia.com>","kind":"library","doca_version":"3.5","tags":["doca","pcc","congestion"]}
compatibility
Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU whose DPA processor is exposed to the host AND whose firmware has the custom-PCC slot enabled. Also requires the DPACC compiler installed at a version matched to DOCA per the DOCA Compatibility Policy. Reads the user's local install via `pkg-config doca-pcc` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. The validation steps require a live DOCA install.
# DOCA PCC ## Examples - **"Loading my own congestion control onto a BF port."** — this is in scope. Stay on host-side `doca_pcc` + a DPACC-built `doca_pcc_app`; do not rewrite the algorithm body here. - **"DOCA_ERROR_NOT_PERMITTED on algorithm load."** — check the firmware custom-PCC slot and DPA exposure before changing the load call. ## Instructions Follow Loading order below. Open the tasks companion for configure / load / debug. Open the capabilities companion for the triple-axis cap query. Do not open every companion file. **Where to start:** This skill assumes DOCA is already installed, the user's BlueField has a DPA processor that the host can see through DOCA, the BlueField firmware has the custom-PCC slot enabled, and the user is doing **hands-on custom PCC work from the host side** — i.e. using `doca-pcc` to load a DPA-side congestion control algorithm onto the BlueField, attach it to a port handling RDMA / RoCE traffic, and parameterize it from the host. Open the tasks companion if the user wants to *do* something (configure / build / modify / run / test / debug); open the capabilities companion when the question is *what can the host-side PCC API express* on this version + this BlueField generation + this firmware. If the user has not installed DOCA yet, route to `doca-setup/SKILL.md` first; if the user is asking how to *write* the DPA-side congestion-control algorithm itself (the code that runs on the DPA processor, compiled by `dpacc`), that is a different scope — route via `doca-public-knowledge-map/SKILL.md` to the public DOCA PCC programming guide and to `doca-dpa/SKILL.md` for the host-side DPA lifecycle this skill builds on. If the user only wants to *inspect* PCC counters at runtime without writing a custom algorithm, that is the `pcc_counters` CLI tool — route via `doca-public-knowledge-map ## DOCA tools` (`doca-public-knowledge-map/SKILL.md#doca-tools`); this skill is for *custom* algorithms only. ## Example questions this skill answers well The CLASSES of PCC questions this skill is built to answer, each with one worked example. The agent should treat the *class* as the load-bearing piece — the worked example is a single instance. - **"How do I deploy my own custom congestion control algorithm onto a BlueField port carrying RDMA / RoCE traffic?"** — worked example: *"load a small DPA-side PCC algorithm and attach it to the BlueField port that handles my RoCE traffic"*. Answered by the two-side-program model + the host-side load-and-attach workflow in ## Capabilities and modes + the bring-up steps in ## configure. - **"Does this BlueField + firmware actually allow a custom PCC algorithm, and which PCC features does my DOCA install expose?"** — worked example: *"my host has a BlueField and the default factory PCC works; can I drop in a custom algorithm instead?"*. Answered by the triple-axis precondition rule (BlueField generation must carry a DPA, firmware must have the custom-PCC slot enabled, `doca_pcc_cap_*` against the active `doca_devinfo` must agree) in ## Capabilities and modes + the env-precondition checklist in ## configure step 1. - **"Why does my custom PCC fail with `DOCA_ERROR_NOT_PERMITTED` even though I have `doca_dev` access?"** — worked example: *"the BlueField firmware in this host has the custom-PCC slot disabled"*. Answered by the permission matrix in ## Safety policy + the firmware-side env fix in ## configure step 1. - **"Is this `doca-pcc` library the right tool for what I want, or do I want the default firmware PCC or the `pcc_counters` CLI?"** — worked example: *"I just want to read PCC counters without touching the algorithm"*. Answered by the path-selection rule in ## Capabilities and modes + the deferred-topic boundaries in ## Deferred topic boundaries which route to `doca-public-knowledge-map ## DOCA tools` (`doca-public-knowledge-map/SKILL.md#doca-tools`) for the counter tool. - **"Is the host-side PCC API I'm reading about on my installed DOCA?"** — worked example: *"is the host-side load helper I see in the docs available against the DOCA + DPACC versions on this host?"*. Answered by the version-compatibility overlay in ## Version compatibility which cross-links the canonical detection chain in `doca-version/SKILL.md` and adds the PCC-specific *DOCA must match DPACC* overlay inherited from `doca-dpa/SKILL.md`. - **"What does this `DOCA_ERROR_*` from a `doca_pcc_*` call mean and which layer caused it?"** — worked example: *"`DOCA_ERROR_DRIVER` on the host-side algorithm-load call — is it DOCA, the firmware-side custom-PCC slot, or the DPACC- produced image?"*. Answered by the PCC overlay on the cross-library taxonomy in ## Error taxonomy + the layered ladder in ## debug that escalates to `doca-debug/SKILL.md`. ## Audience This skill serves **external developers consuming the DOCA PCC library from the host side** — code that calls `doca_pcc_*` to stand up the per-port context, load the `dpacc`-produced `doca_pcc_app` image, attach it to the RoCE-bearing BlueField port, parameterize it, start it, and observe runtime reports. It is *not* for NVIDIA developers contributing to DOCA PCC, nor the place to learn how to *write* the DPA-side algorithm body (route via `doca-public-knowledge-map/SKILL.md` to the public PCC / DPA / DPACC guides). **Language scope.** DOCA PCC ships as a host-side C library (`pkg-config` module `doca-pcc`). The DPA-side algorithm is a separate translation unit `dpacc` compiles into the PCC algorithm image — no FFI escape hatch. A Rust / Go / Python host-side wrapper driving `doca_pcc_*` is still useful; the skill keeps its guidance language-neutral. ## When to load this skill Load this skill when the user is doing hands-on DOCA PCC work **from the host side** for a **custom** congestion control algorithm. Concretely: - Initializing a `doca_pcc` against a `doca_dev` that maps to the BlueField port carrying the RDMA / RoCE traffic to be controlled. - Loading the `dpacc`-produced `doca_pcc_app` algorithm image into the `doca_pcc` context. - Parameterizing the algorithm and starting the `doca_pcc` Core context so it begins affecting RoCE traffic on the port. - Checking which PCC features the active `doca_devinfo` supports via `doca_pcc_cap_*` — BlueField generations and firmware revisions differ on permitting a custom PCC algorithm. - Debugging a `DOCA_ERROR_*` from `doca_pcc_*` — disambiguating *firmware custom-PCC slot disabled* vs *device cannot do custom PCC* vs *image incompatible* vs *plain `doca_dev` access denied*. - Designing non-C host-side bindings that drive a separately `dpacc`-built algorithm image — the env-precondition and capability rules still apply. Do **not** load this skill for general DOCA orientation, DOCA / DPACC install, the DPA-side programming model itself, the factory PCC algorithm shipped in ConnectX firmware (firmware- only, no host-side code), or the `pcc_counters` diagnostic CLI. For those, route through `doca-public-knowledge-map/SKILL.md` to the matching upstream guide. ## What this skill provides This is a **thin loader**. The body keeps only the orientation needed to pick the right next file. The substantive PCC-specific material lives in two companion files: - the capabilities companion — what the host-side PCC API can express on this version + this BlueField generation + this firmware: the per-PCC-instance `doca_pcc` context, the loaded `doca_pcc_app` algorithm image produced by `dpacc`, the attach-to-port semantics that bind the algorithm to the RDMA / RoCE traffic it will control, the capability-query surface (`doca_pcc_cap_*`), the PCC error taxonomy mapped onto the cross-library `DOCA_ERROR_*` set, the observability surface (host-side reports plus the public PCC counter tool reachable via `doca-public-knowledge-map`), and the safety policy that gates env preconditions (DPA-capable BlueField, firmware-level custom-PCC slot enabled, matched DOCA + DPACC versions, algorithm image and host-side expectations agree). - the tasks companion — step-by-step workflows for the six in-scope PCC verbs: `configure`, `build`, `modify`, `run`, `test`, `debug`. Plus a `Deferred task verbs` block that points out-of-scope questions at the right next skill. The skill assumes a host where DOCA is already installed at the standard location, a BlueField with a DPA processor is physically present and visible to the host, the BlueField firmware has the custom-PCC slot enabled, the DPACC compiler is installed at a version matched to the DOCA install per the DOCA Compatibility Policy, and the user already knows how (at least at a sketch level) to write the DPA-side PCC algorithm that `dpacc` will compile. It does not cover installing DOCA, installing the DPACC compiler, or flipping firmware-level configuration — those paths go through `doca-setup/SKILL.md`. ## What this skill deliberately does not ship This skill is **agent guidance**, not a samples or templates bundle. To keep the boundary clean, it deliberately does not contain — and pull requests should not add: - **Pre-written DOCA PCC application source code or DPA-side algorithm source, in any language.** The verified PCC source is the shipped C + DPA-side samples at `/opt/mellanox/doca/samples/doca_pcc/`. The agent's job is to route the user to those files and prescribe a minimum-diff modification on them via the universal modify-a-sample workflow in `doca-programming-guide/SKILL.md`, layered with the PCC-specific overrides in ## modify. - **A specific congestion control algorithm.** This library *loads* an algorithm the user supplies; it does *not* define one. The agent must refuse to invent algorithm bodies and must route any *"what algorithm should I write"* question to the public DOCA PCC programming guide and the user's own domain expertise — that is a research question, not an API question. - **Standalone build manifests** (`meson.build`, `CMakeLists.txt`, …) parked inside the skill. The agent constructs the build manifest *in the user's project directory* against the user's installed DOCA + DPACC compiler, where `pkg-config --modversion doca-pcc` and the installed `dpacc` are the two sources of truth. - **A `samples/`, `bindings/`, or `reference/` subtree** of any kind. A mock or incomplete artifact in this skill's tree, even one labeled "reference", is misleading: users will read it as buildable. - **`pcc_counters` tool surface.** That CLI is a *separate artifact* (the `pcc_counters.sh` script installed at `/opt/mellanox/doca/tools/pcc_counters.sh`) with its own page; routing lives in `doca-public-knowledge-map ## DOCA tools` (`doca-public-knowledge-map/SKILL.md#doca-tools`). Conflating it with the library is the most common PCC first-app design error. ## Loading order 1. Read this skill first to confirm the user's question is in scope (host-side custom PCC work, not DPA-side algorithm design and not the counter tool). 2. **For the PCC capability matrix, the two-side-program model, the `doca_pcc` per-instance context, the loaded `doca_pcc_app` algorithm image, the attach-to-port semantics, the triple-axis precondition rule, the env-precondition policy, the error taxonomy, the observability surface, and the safety policy, see the capabilities companion.** 3. **For step-by-step workflows — configure, build, modify, run, test, debug — see the tasks companion.** Both companion files cross-link to each other, `doca-version/SKILL.md` for the canonical DOCA version-handling rules (with the PCC overlay that DOCA must match the DPACC compiler), and `doca-public-knowledge-map/SKILL.md` whenever the right answer is "look it up in the public DOCA PCC programming guide, the public DPA / DPACC guides, the `pcc_counters` tool guide, or in the on-disk install layout" rather than "PCC host-side-specific guidance". ## Related skills - `doca-public-knowledge-map/SKILL.md` — the routing table for every public DOCA documentation source and the on-disk layout of an installed DOCA package. The PCC public guide is at <https://docs.nvidia.com/doca/sdk/DOCA-PCC/index.html>; the `pcc_counters` diagnostic CLI lives under the DOCA Tools umbrella as a *companion surface* rather than a redefined artifact here. - `doca-dpa/SKILL.md` — the host-side DPA control library that PCC depends on conceptually: the custom PCC algorithm *is* DPA-side code, compiled by the DPACC compiler, and the host-side `doca-pcc` Core lifecycle follows the same shape as the `doca-dpa` Core lifecycle. The agent loads `doca-dpa` alongside this skill when the user has DPA-level questions (kernel-launch model, DPA-side libraries) that PCC is layered on top of. - `doca-rdma/SKILL.md` — the library whose traffic the custom PCC algorithm is controlling. The custom PCC algorithm affects RDMA / RoCE flows on the attached BlueField port; if the user has not yet set up RDMA / RoCE traffic on that port, there is nothing for the algorithm to act on, and `doca-rdma` is the skill that brings that traffic up. - `doca-setup/SKILL.md` — env preparation, install verification, DPACC compiler install / verification, BlueField firmware configuration (including the custom-PCC slot enable), and the *I have no install yet* path with the public NGC DOCA container. This skill assumes its preconditions are satisfied AND that DPACC is installed at a version that matches DOCA AND that the firmware-level custom-PCC slot is enabled. - `doca-version/SKILL.md` — canonical DOCA version-handling rules. This skill's `## Version compatibility` cross-links the four-way match rule and adds the PCC-specific *DOCA-and-DPACC must match* overlay per the DOCA Compatibility Policy (inherited from `doca-dpa/SKILL.md`). - `doca-structured-tools-contract/SKILL.md` — the bundle's structured-tools precedence rule (detect / prefer / fall back / report). The Command appendix in the tasks companion honors this contract. - `doca-programming-guide/SKILL.md` — general DOCA programming patterns shared by every library: the canonical `pkg-config` + meson build pattern, the universal modify-a-shipped-sample first-app workflow, the universal Core-context lifecycle, the cross-library `DOCA_ERROR_*` taxonomy, and the program-side debug order. This skill layers PCC specifics on top. - `doca-debug/SKILL.md` — the cross-cutting debug ladder (install / version / build / link / runtime / program / driver). PCC-specific debug (custom-PCC slot not enabled in firmware, DPACC + DOCA version skew, algorithm image rejected as incompatible with the device, a loaded algorithm producing no on-wire change because `doca_pcc_start()` was never called or the attached port carries no RoCE traffic) overlays on top of that ladder. > **"It loads but nothing changes on the wire" is a host-side > question.** A successful load is not a live algorithm: > `doca_pcc_start()` is the moment it goes live on the port, and > PCC only modulates RoCE traffic that already exists on the > `doca_dev` the `doca_pcc` was created against. Settle both here > and do not audit the DPA-side algorithm body: that is > `doca-dpa/SKILL.md`'s surface, and reports > firing already proves the body runs — what is unproven is that > it is bound and live. Ordered checks in > ## debug.
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