Doca Dma
NVIDIAOfficialCreated by NVIDIA
- Skill
- Tool integration
- Software development
- Apache-2.0
- Medium risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The doca-dma skill provides specialized support for developers building applications that utilize the DOCA DMA library. It focuses on offloading memory copy operations between host and DPU memory without CPU intervention. The skill covers the full lifecycle of DMA tasks, including context initialization, buffer sizing via capability queries, memory mapping permissions, and debugging common runtime errors. It is designed to integrate with existing DOCA installations and provides clear routing for scenarios better suited for other DOCA libraries like RDMA or Comch.
What it does
- Guides the configuration of doca_dma_task_memcpy tasks.
- Explains how to size buffers using doca_dma_cap_task_memcpy_* queries.
- Defines the required permission flags for source and destination doca_mmap regions.
- Assists in debugging DOCA_ERROR_* codes specific to DMA operations.
- Provides path-selection logic to distinguish between DMA, RDMA, and Comch use cases.
- Outlines the lifecycle management for DMA contexts and progress engine interaction.
When to use it
- When implementing bulk memory copies between host and DPU memory.
- When encountering permission errors like DOCA_ERROR_NOT_PERMITTED during DMA submission.
- When determining if a specific buffer size or scatter-gather operation is supported by the hardware.
- When troubleshooting task completion issues within the DOCA progress engine.
- When deciding whether to use DMA for a specific data transfer requirement.
Advantages
- Provides precise, library-specific guidance for DOCA DMA development.
- Includes clear decision-making criteria for choosing the correct DOCA library.
- Focuses on actionable workflows for configuration, testing, and debugging.
- Maintains a clean separation between DMA-specific logic and general DOCA knowledge.
- Ensures developers follow standard practices for capability discovery and error handling.
Usage examples
- “How do I copy a 64 KiB buffer from host memory to DPU memory using DOCA DMA?”
- The agent will guide you through initializing the DMA context, setting up the source and destination mmap regions with appropriate permissions, and configuring the memcpy task.
- “My DMA task is returning DOCA_ERROR_NOT_PERMITTED. What should I check?”
- The agent will direct you to verify the LOCAL_READ_ONLY and LOCAL_READ_WRITE flags on your source and destination mmap regions.
- “Can I perform a 16 MiB copy in a single DMA task?”
- The agent will explain how to use the doca_dma_cap_task_memcpy_get_max_buf_size query to check the hardware limits for your specific device.
- “Should I use DOCA DMA or RDMA for a 1 MiB transfer between host and DPU processes?”
- The agent will apply the path-selection rules to determine if DMA is appropriate or if the requirements necessitate using RDMA or Comch.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/nvidia/doca-dma/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip doca-dma.zip -d .agents/skills
Documentation by NVIDIA
DOCA DMA
Examples
"Memcpy a host buffer to BlueField without using the CPU." — this is in scope. Use the shipped DMA sample and
doca_dma_task_memcpy."Copy returns NOT_PERMITTED on first submit." — check mmap permissions and
doca_dma_cap_*before changing the task type.
Instructions
Follow Loading order below. Open the tasks companion for configure / build / run. Open the capabilities companion for the memcpy task and path-selection vs RDMA. Do not open every companion file.
Where to start: This skill assumes DOCA is already installed
and the user is doing hands-on DMA work on a BlueField /
ConnectX / host with DOCA. 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 DMA express on this version. If the user has not
installed DOCA yet, route to
doca-setup/SKILL.md first. If the user is
not sure DMA is even the right library — the data has to traverse
the network, or the flow is small messages between two processes —
read the path-selection rule in
Capabilities and modes
before configuring anything.
Example questions this skill answers well
The CLASSES of DMA 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 bring up a DOCA DMA context and copy a buffer between host and DPU?" — worked example: "copy a 64 KiB buffer from host memory to DPU memory in one task, starting from the shipped DMA Copy reference application". Answered by the lifecycle + memcpy-task workflow in
configure +
Capabilities and modes
task-type table.
"How big a buffer can I memcpy in one task on this device?" — worked example: "can I copy 16 MiB in a single
doca_dma_task_memcpy". Answered by the capability-query rule (doca_dma_cap_task_memcpy_get_max_buf_size, plus_get_max_buf_list_lenfor scatter-gather) inCapabilities and modes
the discovery step in
configure.
"What permissions do my source and destination mmaps need?" — worked example: "my memcpy task returns
DOCA_ERROR_NOT_PERMITTEDon the first submit". Answered by the source / destination permission matrix inSafety policy
the permission checklist in
test.
"Should I use DOCA DMA or DOCA RDMA / Comch / a plain CPU memcpy for this copy?" — worked example: "I have a 1 MiB copy that has to go from a host process to a DPU process; do I want DMA or Comch fast-path". Answered by the "when to use DMA" vs "when not to" path-selection bullet in
Capabilities and modes
the routing pointers in
## Related skills.
"Is DOCA DMA on my installed version, and is the memcpy task supported on my device?" — worked example: "is
doca_dma_task_memcpyavailable on DOCA 2.6 against this ConnectX-6". Answered by the version-compatibility overlay inVersion compatibility,
which cross-links the canonical detection chain in
doca-version/SKILL.md, plus the capability-query rule inCapabilities and modes.
"What does this
DOCA_ERROR_*from a DMA call mean and which layer caused it?" — worked example: "DOCA_ERROR_AGAINfromdoca_task_submiton adoca_dma_task_memcpy". Answered by the DMA overlay on the cross-library taxonomy inError taxonomy
the layered ladder in
debug that escalates to
doca-debug/SKILL.md.
Audience
This skill serves external developers building applications
that consume the DOCA DMA library — i.e., users whose code calls
doca_dma_* (directly in C/C++, or through FFI/bindings from
another language) to copy bytes between two doca_mmap regions
using the BlueField DMA engine instead of the host CPU. It is
not for NVIDIA developers contributing to DOCA DMA itself.
Language scope. DOCA DMA ships as a C library with
pkg-config module name doca-dma. The shipped samples are
written in C. C and C++ consumers are the canonical case and the
worked examples in the tasks companion assume that path. Other-language
consumers (Rust, Go, Python, …) consume the same *.so through
FFI or language-specific bindings; the skill's contribution in
that case is to keep the lifecycle, capability-discovery,
permission, error-taxonomy, and path-selection guidance
language-neutral, and to route the agent to the public C ABI as
the authoritative surface that any wrapper will eventually call.
When to load this skill
Load this skill when the user is doing hands-on DOCA DMA work, in any language. Concretely:
Initializing a
doca_dmacontext on adoca_devand configuring the memcpy task type viadoca_dma_task_memcpy_set_confbeforedoca_ctx_start().Setting up the source and destination
doca_mmapregions for a memcpy, including the per-side permission flags (DOCA_ACCESS_FLAG_LOCAL_READ_ONLYon the source,DOCA_ACCESS_FLAG_LOCAL_READ_WRITEon the destination) and, for cross-peer copies, thedoca_mmap_export_*step.Reading the device capability surface for DMA via the
doca_dma_cap_task_memcpy_*query family (_is_supported,_get_max_buf_size,_get_max_buf_list_len) before sizing any buffer or assuming scatter-gather is available.Submitting
doca_dma_task_memcpytasks against a DOCA progress engine and reacting to per-task completion events.Choosing between DOCA DMA and an adjacent option (DOCA RDMA when the data has to cross the network, DOCA Comch fast-path for message-oriented producer/consumer flows, plain CPU memcpy when the copy is tiny and one-shot).
Debugging a
DOCA_ERROR_*returned from a DMA call (lifecycle vs. permission vs. capability vs. would-block) and the per-task completion status reported on the progress engine.Designing or extending non-C bindings (Rust, Go, Python, …) that wrap the DMA C ABI — for the lifecycle, permission, and capability rules the wrapper must honor.
Do not load this skill for general DOCA orientation, install
of DOCA itself, or non-DMA library questions. For those, use
doca-public-knowledge-map/SKILL.md.
What this skill provides
This is a thin loader. The body keeps only the orientation needed to pick the right next file. The substantive DMA-specific material lives in two companion files:
the capabilities companion — what DMA can express on this version: the single
doca_dma_task_memcpytask type and its scatter-gather buffer-list shape, the capability-query surface (doca_dma_cap_task_memcpy_*), the DMA error taxonomy (mapped onto the cross-libraryDOCA_ERROR_*set), the observability surface (per-task completion events on the progress engine), the source / destination mmap permission policy, and the path-selection rule against the adjacent libraries (RDMA / Comch / CPU memcpy).the tasks companion — step-by-step workflows for the six in-scope DMA verbs:
configure,build,modify,run,test,debug. Plus aDeferred task verbsblock that points out-of-scope questions at the right next skill.
The skill assumes a host or BlueField where DOCA is already
installed at the standard location and the user has the
privileges their public install profile expects. It does not
cover installing DOCA — that path goes 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 DMA application source code, in any language. The verified DMA source code is the shipped C samples at
/opt/mellanox/doca/samples/doca_dma/<name>/and the DMA Copy reference application reachable viadoca-public-knowledge-map/SKILL.md. 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 indoca-programming-guide/SKILL.md, layered with the DMA-specific overrides inmodify.
Standalone build manifests (
meson.build,CMakeLists.txt,Cargo.toml, …) parked inside the skill. The agent constructs the build manifest in the user's project directory against the user's installed DOCA, wherepkg-config --modversion doca-dmais the source of truth.A
samples/,bindings/, orreference/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.
Loading order
Read this skill first to confirm the user's question is in scope.
For the DMA capability surface, the memcpy task type, the capability-query rule, the source / destination permission matrix, the error taxonomy, observability, and the path-selection rule against RDMA / Comch / CPU memcpy, see the capabilities companion.
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
version-handling rules, and
doca-public-knowledge-map/SKILL.md
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "DMA-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 DMA URL ishttps://docs.nvidia.com/doca/sdk/DOCA-DMA/index.html; the canonical reference application is DMA Copy.doca-setup/SKILL.md— env preparation, install verification, and the I have no install yet path with the public NGC DOCA container. This skill assumes its preconditions are satisfied.doca-version/SKILL.md— canonical DOCA version-handling rules. This skill's## Version compatibilitycross-links the four-way match rule + detection chain and adds at most one DMA-specific overlay rule.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 canonicalpkg-config+ meson build pattern, the universal modify-a-shipped-sample first-app workflow, the universal lifecycle, the cross-libraryDOCA_ERROR_*taxonomy, and the program-side debug order. This skill layers DMA specifics on top.doca-rdma/SKILL.md— the right library when the copy has to traverse the network. This skill's path-selection rule routes to RDMA when DMA is not the answer.doca-comch/SKILL.md— the right library when the flow is producer / consumer messaging between a host and DPU process pair, rather than a raw mmap-to-mmap copy.doca-debug/SKILL.md— the cross-cutting debug ladder (install / version / build / link / runtime / program / driver). DMA-specific debug (lifecycle violations, permission mismatches, oversize-buffer rejections) overlays on top of that ladder.
Files
- ATTRIBUTION.mdAdded by AutoGineer882 B
- BENCHMARK.md9.7 KiB
- CAPABILITIES.md16.8 KiB
- LICENSELicence file added by AutoGineer11.2 KiB
- SKILL.md12.7 KiB
- SKILLCARD.yaml2.7 KiB
- TASKS.md23.1 KiB
- evals/evals.json2.9 KiB
- skill-card.md5.1 KiB
- skill.oms.sig5.1 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
The author says: Requires DOCA SDK installed at /opt/mellanox/doca on Linux (Ubuntu 22.04/24.04 or RHEL/SLES) with a BlueField DPU or ConnectX NIC attached. Reads the user's local install via `pkg-config doca-dma` and inspects /opt/mellanox/doca/{lib,include,samples,applications}. The validation steps require a live DOCA install.
Security
What our scanner noticed· Medium risk
- Large base64-encoded blobs
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Attribution and licence
- Created by
- NVIDIA
- Publisher
- NVIDIA (Official)
- Source
- NVIDIA/skills · skills/doca-dma · commit fce3cca
- Licence
- Apache License 2.0 (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE-APACHE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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