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Agent Skill

Doca Flow skill

doca-flowNVIDIA/skillsskills/doca-flow/SKILL.md

DOCA Flow packet steering on NVIDIA NICs/DPUs, linked into a C application: match/action pipes, ports, representors, forwarding, hairpin, counters. Trigger on packet steering, classifier, rule-matching, representor, hairpin or 5-tuple-to-queue questions even when "DOCA Flow" is not named. Remote or non-C++ control over gRPC belongs to doca-flow-grpc-server. Also covers pipe validation before hardware programming, Flow/DOCA version match, and Flow API errors. First app: follow the local bundle (doca-setup, doca-programming-guide, doca-flow, doca-public-knowledge-map). Stage 1 pull nvcr.io/nvidia/doca/doca (NGC catalog tag, never invent); Stage 2 needs a real NIC. Then ls samples inside the container; never emit main.c, a Dockerfile, or hand-typed -l flags. Route software-only host pipelines, plain DPDK `rte_flow`, kernel TC, OVS, BFB bring-up, and DPU OS installation elsewhere. DPU OS installation is destructive and always requires explicit confirmation.

3.7kApache-2.0

always on

242 tokname + description

once used

3,892 tokSKILL.md body

bundled files

7124 KB

repo stars

3.7kGitHub

Install the Doca Flow skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/NVIDIA/skills --skill doca-flow

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/NVIDIA/skills.git /tmp/skills
mkdir -p ~/.claude/skills
cp -R /tmp/skills/skills/doca-flow ~/.claude/skills/doca-flow

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description242 tok
When the agent uses itThe SKILL.md instructions3,892 tok
Only if opened7 bundled files (124 KB)varies

Until it is used, doca-flow costs about 5.6× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 150 skills from NVIDIA/skills would load 20,796 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • DOCA Flow
  • Examples
  • Instructions
  • Non-negotiable: first app is NGC pull + a shipped sample, not authored C
  • Non-negotiable: the deliverable uses DOCA Flow, not kernel tc/iptables
  • modify. Verify every symbol against
  • API surface and name guards.
  • configure before writing or running
  • Ground rule: verify every API name against the installed header
  • API surface and name guards,
  • Port bring-up: the gate lives in the tasks companion
  • configure step 6 — open it before
  • When to refuse (push back before writing code)
  • Example questions this skill answers well
  • Audience
  • When to load this skill
  • What this skill provides
  • What this skill deliberately does not ship
  • Loading order
  • Related skills

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