Official agent skill

Doca Compress

by NVIDIA in NVIDIA/skills

A skill your agent uses 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…

OfficialApache-2.0Auto-check passedDevelopment

Install Doca Compress

skills CLI
$ npx skills add NVIDIA/skills --skill doca-compress -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install NVIDIA/skills doca-compress --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/NVIDIA/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/doca-compress .claude/skills/doca-compress && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
doca-compress
GitHub stars
3.5k
Token cost
~3.8k tokens
SKILL.md length
1,611 words
Files
8
Skills in repo
380
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses 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…

  • Works in 3 steps: Read this SKILL.md first to confirm the… → **For the Compress capability matrix,… → **For step-by-step workflows —…
  • Hands-on DOCA Compress programming on a BlueField DPU
  • SKILL.md covers Example questions this skill…, Audience, When to load this skill and What this skill provides, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Doca Compress is an agent skill from NVIDIA/skills, published by the product's own GitHub organization. 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 docacompress context (the hardware supports DEFLATE both directions plus LZ4 decompress; LZ4 encode is NOT supported), sizing source / destination docabuf against the per-task cap query, setting mmap permissions, deciding offload vs CPU zlib / zstd, validating with a round-trip smoke, or debugging…

Its SKILL.md is about 3.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files (for example `BENCHMARK.md`, `CAPABILITIES.md` and `SKILLCARD.yaml`). Compatibility notes: 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…

It sits in Development. The repository describes itself as: Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end. The licence is Apache-2.0.

When your agent uses it

  • Hands-on DOCA Compress programming on a BlueField DPU
  • Host with DOCA — enabling compress-deflate
  • Decompress-deflate
  • Decompress-lz4-stream

Example prompts

  • “offload this gzip”
  • “decompress incoming network data”
  • “compress task returns INVALIDVALUE on allocinit”
  • “/doca-compress”

Requirements

  • Compatibility (from SKILL.md): 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}.

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Read this SKILL.md first to confirm the user's question is in
  2. **For the Compress capability matrix, the compress / decompress
  3. **For step-by-step workflows — configure, build, modify, run,

What it can do on your machine

Read from SKILL.md and the folder at commit 0e0d506. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • 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}.

    From compatibility in the SKILL.md frontmatter.

Context cost

Doca Compress loads about 3.8k tokens when it runs. Until then it costs about 246 tokens; SKILL.md has 1,611 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~246
When it runs · the whole SKILL.md, loaded when a task matches
~3.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from NVIDIA/skills at commit 0e0d506, republished under its Apache-2.0 licence (© NVIDIA). 1,611 words, ~3,802 tokens.

Download SKILL.mdSave it as .claude/skills/doca-compress/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
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.
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}.
license
Apache-2.0
metadata.kind
library

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.

Example questions this skill answers well

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.

  • "Should I offload this compression to DOCA Compress, or just 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
  • "Does my device support the compress (or decompress) task I 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
  • "I just need to decompress incoming network data — is that a 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.
  • "What permissions does the source / destination mmap need?" — worked example: "my doca_compress_task_compress_deflate returns DOCA_ERROR_NOT_PERMITTED". Answered by the permission matrix in CAPABILITIES.md ## Safety policy
  • "Is this DOCA Compress API available on my installed DOCA 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.
  • "What does this DOCA_ERROR_* from a Compress call mean and 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

Audience

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.

When to load this skill

Load this skill when the user is doing hands-on DOCA Compress work, in any language. Concretely:

  • Initializing a doca_compress context on a doca_dev and configuring at least one task type (doca_compress_task_compress_deflate and/or doca_compress_task_decompress_deflate) before doca_ctx_start().
  • Choosing between the compress task and the decompress 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.
  • Setting permissions on doca_mmap correctly for the source buffer (DOCA_ACCESS_FLAG_LOCAL_READ_ONLY at minimum) and the destination buffer (DOCA_ACCESS_FLAG_LOCAL_READ_WRITE).
  • Sizing the source buffer against the per-task 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.
  • Checking which task types this device's accelerator advertises via doca_compress_cap_task_compress_deflate_is_supported and doca_compress_cap_task_decompress_deflate_is_supported against the active doca_devinfo.
  • Validating against a round-trip (compress → decompress, or decompress → compare against a known DEFLATE-encoded fixture) before pushing bulk input through the accelerator.
  • Deciding whether to offload at all — the size-threshold rule 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.
  • Debugging a 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.
  • Designing or extending non-C bindings (Rust, Go, Python, …) 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.

Show full SKILL.md (746 more words)Show less

What this skill provides

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 this version: 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-scope Compress 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.

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 Compress application source code, in any 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.
  • Pre-encoded DEFLATE fixtures for arbitrary inputs. The 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.
  • 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, where pkg-config --modversion doca-compress is the source 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.

Loading order

  1. Read this SKILL.md first to confirm the user's question is in scope.
  2. For the Compress capability matrix, the compress / decompress 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.
  3. For step-by-step workflows — configure, build, modify, run, 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 DOCA version-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 when the 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-cutting debug 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.

© NVIDIA, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files in skills/doca-compress of NVIDIA/skills.

  • SKILL.md
  • BENCHMARK.md
  • CAPABILITIES.md
  • SKILLCARD.yaml
  • TASKS.md
  • evals/evals.json
  • skill-card.md
  • skill.oms.sig

Open the folder on GitHubat commit 0e0d506

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Categories

Questions about Doca Compress

What does Doca Compress do?

A skill your agent uses 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…. Doca Compress is an agent skill from NVIDIA/skills, published by the product's own GitHub organization.

When should I use Doca Compress?

Doca Compress fits situations like: hands-on DOCA Compress programming on a BlueField DPU; host with DOCA — enabling compress-deflate; decompress-deflate; decompress-lz4-stream.

How do I install Doca Compress in Claude Code?

Run `npx skills add NVIDIA/skills --skill doca-compress -a claude-code`. Or copy the skill folder (skills/doca-compress in NVIDIA/skills) into .claude/skills/doca-compress in your project. Claude Code loads it when a task matches its description.

How do I install Doca Compress in Codex?

Run `npx skills add NVIDIA/skills --skill doca-compress -a codex`. Or copy the skill folder (skills/doca-compress in NVIDIA/skills) into .agents/skills/doca-compress in your project. Codex loads it when a task matches its description.

Can I use Doca Compress in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add NVIDIA/skills --skill doca-compress -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/doca-compress, .gemini/skills/doca-compress, .github/skills/doca-compress and .opencode/skills/doca-compress in your project.

What does Doca Compress need to run?

SKILL.md names no scripts, command-line tools or credentials: Doca Compress is instructions for the agent only. Compatibility (from SKILL.md): 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}. .

Does Doca Compress access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Doca Compress safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Doca Compress use?

Doca Compress is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Doca Compress use?

About 3.8k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Doca Compress?

Skills that share tags, products or a category with Doca Compress: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Doca Compress?

NVIDIA (a GitHub organization, an official publisher) maintains it in NVIDIA/skills, which has 3,534 GitHub stars. The repository holds 380 skills in this directory. The repository was last updated on October 7, 2026.

Source: NVIDIA/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.