nvidia/doca-compress
> 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.
npx skills add https://github.com/NVIDIA/skills --skill doca-compress
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 if the user wants to *do*
something (configure / build / modify / run / test / debug); open
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 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
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
+ the *"when NOT to use doca-compress"* bullets in
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
+ the discovery step in
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
task-type table + the per-task configuration matrix in
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
+ the mmap-set-permissions checklist in
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,
which cross-links the canonical detection chain in
doca-version and adds the
Compress-specific *"discover per-task support, do not assume"*
bullets.
DOCA_ERROR_* from a Compress call mean andwhich 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
+ the layered ladder in
TASKS.md ## debug that escalates to
doca-debug.
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 the
worked examples in TASKS.md 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 compress-vs-decompress guidance
language-neutral, and to route the agent to the public C ABI as
the authoritative surface that any wrapper will eventually call.
Load this skill when the user is doing hands-on DOCA Compress
work, in any language. Concretely:
doca_compress context on a doca_dev andconfiguring at least one task type
(doca_compress_task_compress_deflate and/or
doca_compress_task_decompress_deflate) before
doca_ctx_start().
task for the user's data flow. The two task types are
independent: a consumer that only decompresses inbound DEFLATE
payloads is a valid shape and does not need to enable the
compress task.
doca_mmap correctly for the sourcebuffer (DOCA_ACCESS_FLAG_LOCAL_READ_ONLY at minimum) and the
destination buffer (DOCA_ACCESS_FLAG_LOCAL_READ_WRITE).
doca_compress_cap_task_*_get_max_buf_size(devinfo) ceiling
and the destination buffer against the worst-case output size
the algorithm can produce on this input.
via doca_compress_cap_task_compress_deflate_is_supported and
doca_compress_cap_task_decompress_deflate_is_supported
against the active doca_devinfo.
decompress → compare against a known DEFLATE-encoded fixture)
before pushing bulk input through the accelerator.
in CAPABILITIES.md ## Capabilities and modes
says doca-compress is the right answer only for bulk inputs
(rule of thumb: ≥ a few KiB); below that, CPU compression beats
the DMA-to-accelerator round-trip.
DOCA_ERROR_* returned from a Compress call(lifecycle vs. buffer-sizing vs. permission vs.
unsupported-task) and the task-completion event on the progress
engine.
that wrap the Compress C ABI — for the lifecycle, permission,
capability, and compress-vs-decompress rules the wrapper must
honor.
Do not load this skill for general DOCA orientation, install
of DOCA itself, non-DEFLATE compression libraries on CPU (use
zlib / zstd / similar), or other DOCA libraries. For those, use
doca-public-knowledge-map.
This is a thin loader. The body keeps only the orientation
needed to pick the right next file. The substantive
Compress-specific material lives in two companion files:
CAPABILITIES.md — what DOCA Compress can express on thisversion: the four task types (compress-deflate,
decompress-deflate, decompress-lz4-stream, and
decompress-lz4-block, each independently capability-gated), the
per-task capability-query surface (doca_compress_cap_* for
task support and per-submission max buffer size), the Compress
error taxonomy (mapped onto the cross-library DOCA_ERROR_*
set), the observability surface (per-task completion events on
the progress engine), the safety policy that gates source /
destination mmap permission decisions, and the size-threshold
path-selection rule (when to use doca-compress versus CPU
compression or doca-dma for the no-compression copy case).
TASKS.md — step-by-step workflows for the six in-scopeCompress verbs: configure, build, modify, run, test,
debug. Plus a ## rollback overlay (Compress-specific
five-step teardown that drains in-flight tasks before
doca_ctx_stop, unregisters mmap regions in reverse-register
order, and re-verifies the device path with the round-trip
smoke) and the 5-phase universal debug-loop instantiation
appended to ## debug. Plus a Deferred task verbs block
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.
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:
language.** The verified Compress source code is the shipped C
samples at /opt/mellanox/doca/samples/doca_compress/, plus
the File Compression reference application linked from the
public DOCA Compress guide. 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,
layered with the Compress-specific overrides in
TASKS.md ## modify.
skill tells the agent to use a *round-trip* validation
(compress → decompress and compare to the original, or
decompress a known DEFLATE blob produced by a published CPU
encoder like zlib) as the known-good smoke; it does not ship
a fixture bank of its own.
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, where `pkg-config --modversion
doca-compress` is the source of truth.
samples/, bindings/, or reference/ subtree of anykind. A mock or incomplete artifact in this skill's tree, even
one labeled "reference", is misleading: users will read it as
buildable.
SKILL.md first to confirm the user's question is inscope.
task split (including decompression-only as a standalone
shape), per-task capability-query rules, permission matrix,
error taxonomy, observability, and safety / path-selection
policy, see CAPABILITIES.md.**
test, debug — see TASKS.md.**
Both companion files cross-link to each other,
doca-version for the canonical
version-handling rules, and
doca-public-knowledge-map
whenever the right answer is "look it up in the public docs or
the installed package layout" rather than "Compress-specific
guidance".
doca-public-knowledge-map —the routing table for every public DOCA documentation source
and the on-disk layout of an installed DOCA package. The DOCA
Compress page lives at
docs.nvidia.com/doca/sdk/DOCA-Compress/; the File Compression
reference application is the canonical worked example.
doca-setup — 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 — canonical DOCAversion-handling rules. This skill's
## Version compatibility
cross-links the four-way match rule and adds only the
Compress-specific *"discover per-task support + per-task max
buffer size via cap query"* overlay.
doca-structured-tools-contract —the bundle's structured-tools precedence rule (detect / prefer
/ fall back / report). The Command appendix in
TASKS.md honors this contract.
doca-programming-guide —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
lifecycle, the cross-library DOCA_ERROR_* taxonomy, and the
program-side debug order. This skill layers Compress specifics
on top.
doca-dma — the right library whenthe data flow is a pure mmap-to-mmap copy with no compression
required. This skill's path-selection rule routes to DMA when
Compress is *not* the answer (e.g. the user only wants to move
bytes, not encode them).
doca-debug — the cross-cuttingdebug ladder (install / version / build / link / runtime /
program / driver). Compress-specific debug (task-not-supported,
source-buffer-too-large, destination-buffer-too-small) overlays
on top of that ladder.
Take nvidia/doca-compress 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.