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DOCA Structured Tools Contract

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Streamline DOCA tool interactions with structured responses.

by nvidia2.8k stars on nvidia/skills
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Updated Aug 7, 2026
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What DOCA Structured Tools Contract does

The DOCA Structured Tools Contract skill is designed to enhance interactions with the DOCA environment by providing a unified method to gather information from various commands. This skill is particularly useful when another DOCA skill indicates a preference for using a structured tool, allowing users to obtain comprehensive details about their DOCA installation in a single command. It consolidates information that would typically require multiple manual commands, thus saving time and reducing complexity for users.

When activated, this skill checks for the presence of the structured tool on the host system. If it is available, the skill will use it to generate a structured JSON response. If the tool is not present, the skill falls back to a predefined manual command sequence to gather the necessary information. This dual approach ensures that users receive accurate and relevant data regardless of the tool's availability, while also informing them of the method used to obtain the information.

This skill is particularly valuable for developers and system administrators who work with DOCA libraries and need quick access to environmental details, device capabilities, and validation states. It is designed to respond to implicit queries about the DOCA environment, making it easier for users to get the answers they need without having to remember specific command syntax or workflows.

However, it is important to note that this skill is not intended for general DOCA orientation or specific library API questions. For those types of inquiries, users should refer to other skills designed for broader guidance or installation assistance. The DOCA Structured Tools Contract skill is a focused tool that excels in providing structured outputs for specific command-related queries.

When to use it

Use this skill when another DOCA skill requests the structured tool or when you need a one-shot answer about your DOCA environment.

When not to use it

Avoid using this skill for general DOCA orientation or specific library API questions, as it is not designed for those purposes.

What you can build with it

Quick Environment Check

Use this skill to quickly gather all relevant information about your DOCA installation in one command.

Validate Before Commit

Easily check if a specific command or configuration is valid before committing changes in your DOCA environment.

Device Capability Overview

Obtain a consolidated view of all devices and their capabilities on a BlueField system with a single command.

How to install DOCA Structured Tools Contract

View source

1. Install with the skills CLI

npx skills add nvidia/skills/doca-structured-tools-contract --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by nvidia

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

See references/examples.md for the five worked routing examples. Keep this loader focused on detection, fallback behavior, and the authoritative schemas below.

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

Running probes and fallbacks requires shell access to the target host, either directly by the agent or through commands the user runs.

Ground rules for any agent using this skill

  1. 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.
  2. Prefer structured when present; fall back to manual when not. When the probe succeeds and the output validates against the selected schema, the structured JSON is the source of truth. When the probe fails or the output is invalid, walk the manual command chain in the same schema section and synthesize the equivalent answer.
  3. Report which path you took. Always tell the user at the start of the answer: "using structured <helper> (path: <path>)" OR "falling back to manual chain (structured <helper> probe failed: <reason>)", substituting the helper selected by the schema and the actual probe failure. Never report a helper different from the one the schema selected.
  4. 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.
  5. 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.
  6. 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.
  7. Privilege is never implicit. A manual fallback command that requires sudo is emitted for the user to run or executed only through an already approved privileged channel. Never silently elevate merely because the structured helper was absent. Do not assume such a channel exists; if it does not, ask the user to run the command or report the privileged-data gap.

The agent behavior contract

The contract is a four-step loop the agent runs every time a skill's Command appendix references this contract:

  1. 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. The executable helpers are deferred to PR2, so until they ship, failed command probes are expected and the manual chains are the operative path unless a helper was installed separately.
  2. Prefer. If the probe succeeds, invoke the structured tool and parse its JSON per the schema in ## Schemas. It is authoritative only when parsing succeeds and every required field has the documented type. Malformed JSON, missing fields, or type mismatches make the structured path fail: report that exact validation failure and use step 3. Ignore unexpected extra fields as advisory per ground rule 5; do not expose them as contract output. Do NOT run the manual chain merely "to double check" valid structured output — valid structured output replaces the chain.
  3. 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). If that route cannot resolve the gap, name the missing commands or artifacts, state that the consolidated answer cannot be completed, and stop rather than presenting partial data as complete.
  4. Report. Open the answer with one of:
    • "Using structured <tool> (path: <path>)." — when the probe succeeded and its output validated.
    • "Falling back to manual chain (structured <tool> probe failed: <reason>)." — when the probe failed. Include the actual probe command and failure reason; for command -v, note that failure means the helper was not found on PATH, not that it is definitively absent. Plus a one-line note pointing the user at how to install the helpers when they become available.
    • "Falling back to manual chain (<tool> output failed schema validation: <reason>)." — when the helper exists but its output is malformed, missing required fields, or has invalid field types.

The report step proves the agent tried the helper before falling back.

Schemas

Select the schema from the question shape: environment/install state uses doca-env; capability minimum-version lookup uses version-matrix; per-device library capabilities use capability-snapshot; spec validation uses validate-before-commit; and a host-versus-DPU state comparison uses the two collect-state schemas. When a per-skill Command appendix names a schema, use that schema directly.

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):

FieldTypeNotes
versionobjectpkg_config / applications_version / doca_caps / bfb (string | null) / consistent (bool)
devicesarray of objectone 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)
librariesarray of objectone entry per public DOCA library: pkg_config_name, installed (bool), pc_path (string | null)
sample_pathsarray of objectone entry per library: library, path (the on-disk samples root)
driversobjectmlx5_core_loaded (bool), mlx5_ib_loaded (bool), kernel_version (string)
hugepagesobjectavailable_2m (number), available_1g (number), mount_point (string | null)
host_kindstringone of host | bluefield | unknown
bf_modestring | nullone of smartnic | dpu | switch | null (when host_kind != bluefield)

Manual fallback chain (run in order; combine the outputs to synthesize the same answer):

  1. pkg-config --modversion doca-commonversion.pkg_config
  2. cat /opt/mellanox/doca/applications/VERSIONversion.applications_version
  3. doca_caps --versionversion.doca_caps
  4. doca_caps --list-devsdevices array (parse PCIe address + kind + representor)
  5. Find doca-common.pc first. If find /opt/mellanox/doca -name doca-common.pc -print -quit returns empty, stop this row, surface the partial-install gap, and route to doca-setup; do not expand an empty directory glob. Otherwise derive PCDIR from that result and run for pc in "$PCDIR"/*.pc; do pkg-config --exists "$(basename "$pc" .pc)" && echo "$pc"; donelibraries array. If PCDIR is not a directory or no module resolves through pkg-config --exists, surface that gap and route to doca-setup. PCDIR is commonly /opt/mellanox/doca/lib/<arch>-linux-gnu/pkgconfig on DOCA 3.3+, or /opt/mellanox/doca/infrastructure/lib/pkgconfig on legacy / split-profile installs.
  6. ls /opt/mellanox/doca/samples/sample_paths array
  7. lsmod | grep -E '^mlx5_(core|ib)' and uname -rdrivers object
  8. cat /proc/meminfo | grep -i Hugehugepages object
  9. dmidecode -s system-product-name (or cat /proc/device-tree/model on BlueField) → host_kind
  10. mlxconfig -d <pcie> q INTERNAL_CPU_MODELbf_mode (when host_kind == bluefield)

version-matrix.json schema

Detection probe: test -f /opt/mellanox/doca/share/version-matrix.json. If absent, use the manual fallback; do not guess another install path.

Top-level shape (JSON object):

FieldTypeNotes
schema_versionstringsemver of THIS contract; bumps on schema changes
generated_atstringISO-8601 timestamp of when the matrix was generated
entriesarray of objectone row per (library, capability) pair

Per-entry shape:

FieldTypeNotes
librarystringpkg-config module name (doca-flow, doca-rdma, doca-comch, …)
capabilitystringmachine-readable cap name; the per-library skill's Command appendix lists which doca_<lib>_cap_* query this maps to
display_namestringhuman-readable label; the agent quotes this when reporting
min_doca_versionstringfirst DOCA release in which the capability was available (semver)
max_doca_versionstring | nulllast DOCA release in which the capability was available (null = still available)
source_urlstringthe public docs URL the row was derived from
source_quotestringthe exact prose from the public docs that established the row

Manual fallback chain:

  1. Identify the library + capability the user asked about (via the matching library skill's CAPABILITIES.md ## Capabilities and modes table).
  2. Fetch the matching per-library doc page via doca-public-knowledge-map.
  3. Search the page for the capability name; extract the "available since" prose; quote it verbatim.
  4. 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):

FieldTypeNotes
snapshot_atstringISO-8601 timestamp
doca_versionstringdoca_caps --version at snapshot time
host_kindstringhost | bluefield
devicesarray of objectone entry per doca_devinfo: pcie_address, library_capabilities (map of library → list of capability flags)

Manual fallback chain:

  1. doca_caps --list-devs → device enumeration
  2. For each device + each library of interest: invoke the library-specific doca_<lib>_cap_* query family from a small test program by following the library's own ## test workflow and modifying its named shipped sample. Do not invent test code.

validate-before-commit schema

Detection probe: command -v doca-validate. If that command is absent, the structured helper is absent and the agent uses the manual fallback below. A library-specific constructor-time validation surface is not a detection probe and may mutate state. For example, the public Flow header at this release does not ship a separate doca_flow_pipe_validate symbol: never invent one and never use doca_flow_pipe_create as a read-only probe. The structured tool wraps only library-specific validation calls that are safe for its contract and returns a uniform JSON result.

Top-level shape (JSON object):

FieldTypeNotes
librarystringwhich DOCA library the spec is for
spec_pathstringpath on disk to the spec being validated
resultstringpass | fail | skip
checksarray of objectper-check breakdown: name, status (pass | fail | skip), details (string), remediation (string | null)

Manual fallback chain:

  1. Find the library-specific validate surface in the matching skill's ## test workflow. For some libs this is a dedicated _validate call. Constructor-time checks embedded in a mutating _create call are not read-only validators. In particular, doca_flow_pipe_create belongs to doca-flow TASKS.md ## test after that skill's snapshot/safety preconditions; do not invoke it as a pre-commit probe. If the caller requires read-only validation and the installed API exposes no dedicated validator, report result: skip and route to the per-library ## test workflow.
  2. Invoke it before any commit / create / submit call.
  3. Map validation outcomes deliberately: DOCA_ERROR_INVALID_VALUE and DOCA_ERROR_NOT_SUPPORTED are result: fail. Permission, transport, unavailable-device, and other operational errors are result: skip, with the exact doca_error_get_descr() text and remediation in a checks entry. Never turn an inability to run validation into a claim that the spec itself failed.

collect-host-state and collect-dpu-state schemas

Select the helper for the side where commands execute: host uses doca-collect-host-state; BlueField uses doca-collect-dpu-state. The presence of both binaries does not imply cross-side access. For a diff, collect independently on each side and then compare the outputs.

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:

FieldTypeNotes
sidestringhost | dpu
doca_versionstringdoca_caps --version
firmware_versionstringoutput of flint -d <pcie> q (sudo)
kernel_versionstringuname -r
mlx5_modulesarray of stringwhich mlx5_* modules are loaded
bf_modestring | nullsmartnic | dpu | switch | null
devicesarray of objectper-PCIe-function record: pcie_address, kind (PF | VF | SF), state, mtu, representor_of

Manual fallback chain (per side):

  1. doca_caps --versiondoca_version
  2. uname -rkernel_version
  3. lsmod | grep mlx5mlx5_modules
  4. devlink dev show + lspci | grep Mellanox + ip -j link → enumerate the devices array and its PCIe addresses
  5. For each discovered target PCIe address, flint -d <pcie> q through the approved privileged channel → firmware_version
  6. On a discovered BlueField target, mlxconfig -d <pcie> q INTERNAL_CPU_MODELbf_mode

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.

This skill ships first so other skills can reference the contract without later retrofit when PR2 executables land.

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. For Flow, the public header at this release has no separate doca_flow_pipe_validate symbol: do not invent one or use doca_flow_pipe_create as this contract's read-only pre-commit probe. Report result: skip and route to doca-flow TASKS.md ## test, where constructor-time checks may run only after that workflow's snapshot and safety preconditions. 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.

URLOwnerLast verifiedDOCA versionNotes
(none — this skill is a contract, the substantive URLs are owned by doca-public-knowledge-map and the per-library skills)n/a2026-05-173.3.0The agent reaches public docs via doca-public-knowledge-map; this skill stays vendor-neutral on URLs

Frequently asked questions about DOCA Structured Tools Contract

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