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Use for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. Trigger on NVIDIA products, hardware, software,…
Use this skill for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or decompress-lz4-block tasks on a doca_compress context (the hardware supports DEFLATE both
$ npx -y skills add NVIDIA/skills --skill doca-compress --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/doca-compressContext preview
The summary Claude sees to decide when to auto-load this skill.
Use this skill for hands-on DOCA Compress programming on a BlueField DPU, ConnectX NIC, or host with DOCA — enabling compress-deflate, decompress-deflate, decompress-lz4-stream, or decompress-lz4-block tasks on a doca_compress context (the hardware supports DEFLATE both
license: Apache-2.0
name: doca-compress
description: >
Use this skill for hands-on DOCA Compress programming on a
BlueField DPU, ConnectX NIC, or host with DOCA — enabling
compress-deflate, decompress-deflate, decompress-lz4-stream,
or decompress-lz4-block tasks on a doca_compress context
(the hardware supports DEFLATE both directions plus LZ4
decompress; LZ4 encode is NOT supported), sizing source /
destination doca_buf against the per-task cap query, setting
mmap permissions, deciding offload vs CPU zlib / zstd,
validating with a round-trip smoke, or debugging
DOCA_ERROR_* from a Compress call. Trigger on phrasings
like "offload this gzip", "decompress incoming network
data", "compress task returns INVALID_VALUE on alloc_init",
"submitted a task but no completion arrives", or "decompress
LZ4 on the BlueField." Refuse and route elsewhere for
non-DEFLATE / non-LZ4 algorithms (zstd / Snappy / brotli),
LZ4 encode (route to a CPU LZ4 library), pure mmap-to-mmap
copies (doca-dma), or DOCA Core lifecycle internals.
metadata:
kind: library
compatibility: >
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-compress` and inspects
/opt/mellanox/doca/{lib,include,samples,applications}.**Where to start:** This skill assumes DOCA is already installed and the user is doing **hands-on Compress work** (bulk DEFLATE compression or decompression) on a BlueField / ConnectX / host with DOCA. Open [`TASKS.md`](TASKS.md) if the user wants to *do* something (configure / build / modify / run / test / debug); open [`CAPABILITIES.md`](CAPABILITIES.md) when the question is *what can DOCA Compress express* on this version. If the user has not installed DOCA yet, route to [`doca-setup`](../../doca-setup/SKILL.md) first. If the user is asking *"should I even offload this compression to the accelerator?"*, the size-threshold path-selection rule in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) is the first stop — bulk compress is the canonical fit, tiny one-shot is not.
The CLASSES of DOCA Compress 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.
zlib/zstd on the CPU?"** — worked example: *"I am compressing a 4 MiB log buffer before writing it to storage; is doca-compress worth the setup vs zlib on the CPU?"*. Answered by the size-threshold path-selection rule in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes)
[`CAPABILITIES.md ## Safety policy`](CAPABILITIES.md#safety-policy).
want, and how big a buffer can it move per submission?"** — worked example: *"is `doca_compress_task_compress_deflate` on this BlueField, and what is the max source size per task?"*. Answered by the per-task capability-query rule (`doca_compress_cap_task_compress_deflate_is_supported`, `_decompress_deflate_is_supported`, the matching `_get_max_buf_size` queries) in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes)
[`TASKS.md ## configure`](TASKS.md#configure).
valid standalone use of doca-compress?"** — worked example: *"my client receives DEFLATE-compressed payloads and never produces any compressed output of its own"*. Answered by the *"decompression-only"* note in [`CAPABILITIES.md ## Capabilities and modes`](CAPABILITIES.md#capabilities-and-modes) task-type table + the per-task configuration matrix in [`TASKS.md ## configure`](TASKS.md#configure) step 5.
worked example: *"my `doca_compress_task_compress_deflate` returns `DOCA_ERROR_NOT_PERMITTED`"*. Answered by the permission matrix in [`CAPABILITIES.md ## Safety policy`](CAPABILITIES.md#safety-policy)
[`TASKS.md ## test`](TASKS.md#test).
version?"** — worked example: *"is `doca_compress_task_decompress_deflate` in the DOCA I have installed?"*. Answered by the version-compatibility overlay in [`CAPABILITIES.md ## Version compatibility`](CAPABILITIES.md#version-compatibility), which cross-links the canonical detection chain in [`doca-version`](../../doca-version/SKILL.md) and adds the Compress-specific *"discover per-task support, do not assume"* bullets.
which layer caused it?"** — worked example: *"`DOCA_ERROR_INVALID_VALUE` on `doca_compress_task_compress_deflate_alloc_init`"*. Answered by the Compress overlay on the cross-library taxonomy in [`CAPABILITIES.md ## Error taxonomy`](CAPABILITIES.md#error-taxonomy)
[`TASKS.md ## debug`](TASKS.md#debug) that escalates to [`doca-debug`](../../doca-debug/SKILL.md).
This skill serves **external developers building applications that consume the DOCA Compress library** — i.e., users whose code calls `doca_compress_*` (directly in C/C++, or through FFI/bindings from another language) to offload bulk DEFLATE compression or decompression onto a BlueField DPU or ConnectX accelerator. It is *not* for NVIDIA developers contributing to DOCA Compress itself.
**Language scope.** DOCA Compress ships as a C library with `pkg-config` module name `doca-compress`. The shipped samples are written in C. C and C++ consumers are the canonical case and
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