
Skill
doca-structured-tools-contract
consolidate information using structured DOCA tools
Description
Use this skill whenever another DOCA skill says "prefer the structured tool per doca-structured-tools-contract", or when the user wants a one-shot answer that consolidates info multiple manual commands would produce — DOCA env / version / devices / capabilities / validate / host vs DPU state. Trigger even when the user does not explicitly mention "structured tool" or "doca-env --json" — typical implicit phrasings include "is there one command that tells me everything about my DOCA install", "what version is X capability available since", "every PF/VF/SF visible on this BlueField with PCIe address", "will this pipe pass validate before commit", "diff host vs DPU state", or "why does the agent give a one-line answer on host A and five commands on host B". Refuse and route elsewhere for general DOCA orientation, specific library API how-to, or install-from-scratch guidance — those belong to the per-library skill, doca-public-knowledge-map, or doca-setup.
SKILL.md
DOCA structured-tools contract
Where to start: Reach for this skill whenever a workflow in
another skill says "prefer the structured tool per
doca-structured-tools-contract". Read
## The agent behavior contract
first; then drill into the matching schema in ## Schemas.
If the host has the structured tool, prefer its output. If it does
not, fall back to the manual command chain in the same schema
section. Always report which path was taken so the user can fix
the gap (or so a future bundle update can detect that the structured
path was never tried).
Example questions this skill answers well
These are the question SHAPES this skill is designed to route, with one worked example each. The agent should treat the shape as the load-bearing piece — the worked example is a single instance.
- "Is there a single command that tells me everything about my
DOCA install?" — worked example: "version, devices, libraries
installed, sample paths, drivers, hugepages — all at once".
Answered by the
doca-env --jsonschema in## Schemasand the four-step fallback chain in the same section. - "How do I look up which DOCA version a capability requires
without fetching a doc page?" — worked example: "is symmetric
RSS hash mode in DOCA 2.6.0". Answered by the
version-matrix.jsonschema in## Schemas, with the manual fallback being to fetch the matching per-library doc page viadoca-public-knowledge-map. - "What does my hardware actually look like to DOCA — every PCIe
function, every representor?" — worked example: "every PF / VF
/ SF visible on this BlueField, with PCIe address and link
state". Answered by the
collect-host-state/collect-dpu-stateschema in## Schemas, with the manual fallback beingdevlink dev show+lspci | grep Mellanox+ip -j link. - "How do I know my Flow / RDMA / DMS / etc. spec is valid before
I program hardware with it?" — worked example: "will this Flow
pipe pass validate before commit". Answered by the
validate-before-commitschema in## Schemas, with the manual fallback being the library's own constructor-time validation surface (e.g. for DOCA Flow, treat theDOCA_ERROR_INVALID_VALUE/DOCA_ERROR_NOT_SUPPORTEDreturn fromdoca_flow_pipe_createas the validate signal — the public Flow header does not ship a separatedoca_flow_pipe_validatecall at the bundle-aligned release, and the agent must not invent one). - "My agent is acting differently on different hosts — is one of
them missing the helpers?" — worked example: "the agent on host
A gave a one-line answer; the agent on host B walked five manual
commands". Answered by the report-which-path rule in
## The agent behavior contract— if the agent on host A did not say "structured tool used", the user should ask explicitly.
If the question fits a different shape (how to write code, how to
debug a crash, how to set up an env), route to the matching skill
instead — see AGENTS.md for the routing table.
When to load this skill
Load this skill whenever another skill's workflow tells the agent to prefer the structured tool, OR whenever the user's question implies they want a single one-shot answer that consolidates information multiple manual commands would otherwise produce.
Concretely:
- A library / service / tool skill's Command appendix references this skill in its first column.
- The user asks "is there one command that tells me X about my DOCA install" (env / devices / version / capabilities / hardware topology).
- The user asks "how do I know X is valid before I commit" for any DOCA library that has a validate-before-commit call.
- The agent has computed the manual fallback answer and wants to also surface the equivalent structured-tool one-liner so the user can adopt it next time.
Do not load this skill for general DOCA orientation, for
specific library API questions, or for install-from-scratch
guidance. For those, use the matching library skill +
doca-public-knowledge-map
Ground rules for any agent using this skill
- Detect first; never assume the tool is present. Each schema below names the probe command that decides whether the structured tool is installed on this host. Run the probe before reading the schema's output as authoritative.
- Prefer structured when present; fall back to manual when not. When the probe succeeds, the structured tool's JSON output is the source of truth. When the probe fails, walk the manual command chain in the same schema section and synthesize the equivalent answer.
- Report which path you took. Always tell the user at the
start of the answer: "using structured
doca-env --json" OR "falling back to manual chain (no structured helpers installed)". The user adopting the helpers is a downstream improvement; the user knowing whether they were used is the now. - Schemas are locked here; per-skill overlays are NOT. A library / service / tool skill MAY add a per-skill row to its own Command appendix that uses a schema; it MUST NOT redefine the schema. If a schema needs to grow, the change happens here first and every Command appendix that consumes it inherits the change automatically.
- Never invent a JSON field that is not in the schema. The structured tool's output is exactly the shape this contract says it is. If the user pastes JSON that contains a field not in the schema, treat the extra field as advisory and quote the official schema as the boundary.
- Schemas describe contracts, not implementations. The executables that satisfy these contracts are deferred to a subsequent PR on the maintainer roadmap. This skill exists so every other skill in the bundle can be infra-aware before the executables ship.
The agent behavior contract
The contract is a four-step loop the agent runs every time a skill's Command appendix references this contract:
- Detect. Run the probe command listed in the schema section
for the relevant tool. Examples:
command -v doca-env,test -f /opt/mellanox/doca/share/version-matrix.json,command -v doca-capability-snapshot. Probes are read-only and safe to run on any host. - Prefer. If the probe succeeds, invoke the structured tool
and parse its JSON per the schema in
## Schemas. The output is the authoritative answer for this turn. Do NOT also run the manual chain "to double check" — the contract is that the structured tool replaces the chain. - Fall back. If the probe fails, walk the manual command
chain documented in the same schema section. Synthesize the
answer by combining the manual command outputs in the order the
chain lists them. If a manual command is unavailable on the
host, surface that as a gap and route the user to the matching
skill (typically
doca-setup). - Report. Open the answer with one of:
- "Using structured
<tool>(path:<path>)." — when the probe succeeded. - "Falling back to manual chain (no structured
<tool>on this host)." — when the probe failed. Plus a one-line note pointing the user at how to install the helpers when they become available.
- "Using structured
The report step is the bundle's signal to the user that the agent tried the helpers, not just the manual chain. Without it, an agent that always falls back looks identical to an agent that never knew the helpers existed.
Schemas
Each subsection below names ONE structured tool the bundle expects to interoperate with, gives its detection probe, names its top-level JSON shape, and lists the manual command chain the agent walks when the probe fails.
doca-env --json schema
Detection probe: command -v doca-env. The structured tool, if
installed, lives at the same $PATH location as doca_caps (i.e.
under the DOCA install tree's bin/).
Top-level shape (JSON object):
| Field | Type | Notes |
|---|---|---|
version | object | pkg_config / applications_version / doca_caps / bfb (string | null) / consistent (bool) |
devices | array of object | one entry per visible PCIe function: pcie_address (e.g. 0000:03:00.0), kind (PF | VF | SF), name, representor_of (string | null), state (active | down | unknown), mtu (number) |
libraries | array of object | one entry per public DOCA library: pkg_config_name, installed (bool), pc_path (string | null) |
sample_paths | array of object | one entry per library: library, path (the on-disk samples root) |
drivers | object | mlx5_core_loaded (bool), mlx5_ib_loaded (bool), kernel_version (string) |
hugepages | object | available_2m (number), available_1g (number), mount_point (string | null) |
host_kind | string | one of host | bluefield | unknown |
bf_mode | string | null | one of smartnic | dpu | switch | null (when host_kind != bluefield) |
Manual fallback chain (run in order; combine the outputs to synthesize the same answer):
pkg-config --modversion doca-common→version.pkg_configcat /opt/mellanox/doca/applications/VERSION→version.applications_versiondoca_caps --version→version.doca_capsdoca_caps --list-devs→devicesarray (parse PCIe address + kind + representor)PCDIR="$(dirname "$(find /opt/mellanox/doca -name doca-common.pc -print -quit)")"; for pc in "$PCDIR"/*.pc; do pkg-config --exists "$(basename "$pc" .pc)" && echo "$pc"; done→librariesarray.PCDIRis commonly/opt/mellanox/doca/lib/<arch>-linux-gnu/pkgconfigon DOCA 3.3+, or/opt/mellanox/doca/infrastructure/lib/pkgconfigon legacy / split-profile installs; deriving it from the livedoca-common.pc(equivalentlypkg-config --variable=pcfiledir doca-common) avoids the empty-glob trap of hard-codinginfrastructure/.ls /opt/mellanox/doca/samples/→sample_pathsarraylsmod | grep -E '^mlx5_(core|ib)'anduname -r→driversobjectcat /proc/meminfo | grep -i Huge→hugepagesobjectdmidecode -s system-product-name(orcat /proc/device-tree/modelon BlueField) →host_kindmlxconfig -d <pcie> q INTERNAL_CPU_MODEL→bf_mode(whenhost_kind == bluefield)
version-matrix.json schema
Detection probe: test -f /opt/mellanox/doca/share/version-matrix.json (or a sibling location documented at install time by the file that ships it).
Top-level shape (JSON object):
| Field | Type | Notes |
|---|---|---|
schema_version | string | semver of THIS contract; bumps on schema changes |
generated_at | string | ISO-8601 timestamp of when the matrix was generated |
entries | array of object | one row per (library, capability) pair |
Per-entry shape:
| Field | Type | Notes |
|---|---|---|
library | string | pkg-config module name (doca-flow, doca-rdma, doca-comch, …) |
capability | string | machine-readable cap name; the per-library skill's Command appendix lists which doca_<lib>_cap_* query this maps to |
display_name | string | human-readable label; the agent quotes this when reporting |
min_doca_version | string | first DOCA release in which the capability was available (semver) |
max_doca_version | string | null | last DOCA release in which the capability was available (null = still available) |
source_url | string | the public docs URL the row was derived from |
source_quote | string | the exact prose from the public docs that established the row |
Manual fallback chain:
- Identify the library + capability the user asked about (via the matching library skill's CAPABILITIES.md ## Capabilities and modes table).
- Fetch the matching per-library doc page via
doca-public-knowledge-map. - Search the page for the capability name; extract the "available since" prose; quote it verbatim.
- Cross-check against
pkg-config --modversion doca-<library>on the user's host; if the installed version is older than the "available since" line, the capability is not on this install regardless of what the public docs say.
capability-snapshot schema
Detection probe: command -v doca-capability-snapshot. The
structured tool, if installed, lives at the same $PATH location as
doca_caps.
Top-level shape (JSON object):
| Field | Type | Notes |
|---|---|---|
snapshot_at | string | ISO-8601 timestamp |
doca_version | string | doca_caps --version at snapshot time |
host_kind | string | host | bluefield |
devices | array of object | one entry per doca_devinfo: pcie_address, library_capabilities (map of library → list of capability flags) |
Manual fallback chain:
doca_caps --list-devs→ device enumeration- For each device + each library of interest: invoke the
library-specific
doca_<lib>_cap_*query family from a small test program (the agent walks the user through writing it, per the library's own## testworkflow).
validate-before-commit schema
Detection probe: command -v doca-validate (cross-library) OR the
library-specific constructor-time validation surface (e.g. for Flow,
the DOCA_ERROR_INVALID_VALUE / DOCA_ERROR_NOT_SUPPORTED return
from doca_flow_pipe_create — the public Flow header at this
release does not ship a separate doca_flow_pipe_validate symbol;
the agent uses the constructor-failure path as the validate signal).
The structured tool wraps the library-specific calls and returns a
uniform JSON result.
Top-level shape (JSON object):
| Field | Type | Notes |
|---|---|---|
library | string | which DOCA library the spec is for |
spec_path | string | path on disk to the spec being validated |
result | string | pass | fail | skip |
checks | array of object | per-check breakdown: name, status (pass | fail), details (string), remediation (string | null) |
Manual fallback chain:
- Find the library-specific validate surface in the matching skill's
## testworkflow. For some libs this is a dedicated_validatecall; for others (notably DOCA Flow) it is the constructor-time validation embedded in the_create/_cfgcall family (e.g.doca_flow_pipe_createfor Flow) whoseDOCA_ERROR_INVALID_VALUE/DOCA_ERROR_NOT_SUPPORTEDreturn is the validate signal. The lib's per-skill## testanchor names which. - Invoke it before any commit / create / submit call.
- Treat a non-
DOCA_SUCCESSreturn asresult: fail; map thedoca_error_get_descr()text into a singlechecksentry.
collect-host-state and collect-dpu-state schemas
Detection probes: command -v doca-collect-host-state (run on
the host side) and command -v doca-collect-dpu-state (run on the
BlueField side).
Top-level shape (JSON object), shared by both:
| Field | Type | Notes |
|---|---|---|
side | string | host | dpu |
doca_version | string | doca_caps --version |
firmware_version | string | output of flint -d <pcie> q (sudo) |
kernel_version | string | uname -r |
mlx5_modules | array of string | which mlx5_* modules are loaded |
bf_mode | string | null | smartnic | dpu | switch | null |
devices | array of object | per-PCIe-function record: pcie_address, kind (PF | VF | SF), state, mtu, representor_of |
Manual fallback chain (per side):
doca_caps --version→doca_versionflint -d <pcie> q(sudo) →firmware_versionuname -r→kernel_versionlsmod | grep mlx5→mlx5_modulesmlxconfig -d <pcie> q INTERNAL_CPU_MODEL→bf_modedevlink dev show+ip -j link→devicesarray
The two sides are deliberately symmetric so the agent can diff them trivially when diagnosing host ↔ BlueField mismatches.
Relationship to PR2 executables
The schemas above describe contracts. The implementations that satisfy each contract are deferred to a subsequent PR on the maintainer roadmap.
The reason this skill exists before the executables ship is so every other skill in the bundle can be infra-aware from PR1 onward: each library / service / tool skill's Command appendix references this contract in its first row, so when the executables land in PR2 the skills do not need any retrofit.
Concrete consequence for contributors writing a new library skill:
when you build the Command appendix, do not duplicate the manual
fallback chain — link to this skill's matching schema section and
add only the per-library overlay (e.g. "Flow-specific: treat the
DOCA_ERROR_INVALID_VALUE / DOCA_ERROR_NOT_SUPPORTED return
from doca_flow_pipe_create as the validate signal; the public
Flow header at this release does not ship a separate
doca_flow_pipe_validate symbol — do not invent one"). The
fallback chain itself lives here.
URL audit
This skill references the following external URLs. All MUST be public and MUST resolve. The lint runs the URL check in CI.
| URL | Owner | Last verified | DOCA version | Notes |
|---|---|---|---|---|
(none — this skill is a contract, the substantive URLs are owned by doca-public-knowledge-map and the per-library skills) | n/a | 2026-05-17 | 3.3.0 | The agent reaches public docs via doca-public-knowledge-map; this skill stays vendor-neutral on URLs |
More skills from the skills repository
View all 305 skillsaccelerated-computing-cudf
accelerate data processing with cuDF
Jul 14Data AnalysisData EngineeringNVIDIAPerformanceaiq-deploy
deploy and manage NVIDIA AI-Q infrastructure
Jul 14DeploymentInfrastructureNVIDIAaiq-research
conduct deep research with AI-Q
Jul 14AgentsNVIDIAResearchamc-run-sample-calibration
run AMC sample dataset calibration
Jul 17Data AnalysisNVIDIATestingamc-run-video-calibration
calibrate video datasets with AutoMagicCalib
Jul 17AutomationImagingNVIDIAVideoamc-setup-calibration-stack
deploy AutoMagicCalib microservice with Docker
Jul 17DeploymentDockerNVIDIAOperations
More from NVIDIA
View publishernemoclaw-user-guide
retrieve NemoClaw documentation and configuration
NemoClaw
Jul 20DocumentationMCPSearchmcore-build-and-dependency
manage Megatron-LM development environments
Megatron-LM
Jul 14ContainersDeploymentPythonmcore-bump-base-image
update NVIDIA PyTorch base images
Megatron-LM
Jul 14CI/CDDeploymentmcore-cicd
manage CI/CD pipelines for Megatron-LM
Megatron-LM
Jul 14CI/CDDeploymentGitHubmcore-create-issue
investigate CI failures and create issues
Megatron-LM
Jul 14DebuggingGitHubTriagemcore-linting-and-formatting
lint and format Megatron-LM code
Megatron-LM
Jul 14Best PracticesCode Analysis