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Pva Spec

NVIDIAOfficialCreated by Venkat BalanDistributed by NVIDIA

  • Skill
  • Workflow
  • Software development
  • Apache-2.0
  • Medium risk
  • Has scripts

From the author

Create and validate an NVIDIA PVA operator specification, test matrix, evidence manifest, and deterministic OpGen handoff. Use after Doctor for new operators, changes, or repairs, using requirements, a partial spec, reference code, or an existing operator. Accept text, files, and public URLs. Record unresolved requirements without inventing behavior.
— the description by Venkat Balan

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The pva-spec skill provides a structured workflow for defining the behavior contract of NVIDIA PVA operators. It guides users through collecting requirements, designing a comprehensive test matrix, and documenting evidence to ensure a deterministic handoff to the OpGen tool. The process requires a valid Doctor report and strictly adheres to predefined JSON templates for specifications, test matrices, and evidence, ensuring all requirements are linked to tests and all conflicts are resolved before finalization.

What it does

  • Generates operator specifications, test matrices, and evidence manifests based on requirements.
  • Validates inputs against a Doctor report to ensure reference consistency.
  • Enforces a strict precedence for resolving conflicting requirements.
  • Automates the finalization of OpGen inputs through a validation script.
  • Produces a configuration report summarizing the operator status and blocking issues.

When to use it

  • After running the Doctor skill for new PVA operators, changes, or repairs.
  • When you need to define a formal behavior contract before implementation.
  • When preparing operator specifications and test matrices for OpGen.
  • When you need to reconcile conflicting requirements or reference implementations.

Advantages

  • Ensures deterministic and consistent handoffs to OpGen.
  • Provides a clear, auditable trail of requirements and evidence.
  • Prevents implementation of ambiguous or conflicting operator behavior.
  • Standardizes the specification and testing process across different operators.

Usage examples

“Create a new PVA operator specification for a custom convolution operator using the provided requirements file.”
The agent initializes the workspace, validates the Doctor report, and generates the operator-spec.json, test-matrix.json, and evidence.json templates for the user to populate.
“Finalize the OpGen inputs for the updated image-resize operator.”
The agent runs the finalizer script to validate the JSON files against the Doctor report and project root, returning a status of CONFIGURED if all checks pass.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/nvidia/pva-spec/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip pva-spec.zip -d .agents/skills

Documentation by Venkat Balan

<!-- SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. -->

Specify a PVA operator

Define behavior before implementation. Spec owns the behavior contract and test matrix. It does not implement the operator or invoke OpGen.

Inputs

Accept one or more of these sources:

  • A plain-language description or local requirements file.

  • A public requirements URL.

  • A partial or complete specification.

  • A local or public reference implementation.

  • An existing operator name or path.

Resolve:

  • Task mode: new, change, or repair.

  • PVA generation: GEN2, GEN3, or both.

  • PVA SDK version and PVA Solutions version, when used.

  • Host API: C, C++, or both.

  • EMU policy: optional by default or required by user request.

  • Work directory (WORK_DIR) and project root (PROJECT_ROOT).

  • A Doctor report that is ready for spec, or accepted limitations.

Default WORK_DIR to ./pva-operator/<operator-name>/. Resolve it and user-supplied relative paths against the invocation directory before changing directories. PROJECT_ROOT is the absolute supplied project directory. Work directly in that project. Do not overwrite an existing configuration.

SKILL_ROOT is the absolute directory containing this skill's SKILL.md, after resolving symlinks. Bundled files are relative to that directory. All command paths below use these absolute roots.

Verify references

Require Doctor's public-reference-corpus check to be PASS. Set SDK_REFERENCES to the report's absolute sdk_reference_root. Require a readable index.md and reference-lock.json, a lock SHA-256 matching the report's sdk_reference_lock_sha256, and the reported SDK version matching this task. If these fields are absent or no longer match, return BLOCKED and request a fresh Doctor report. Do not fall back to an installed package or CWD path. Read the pva-spec route in $SDK_REFERENCES/index.md. Before reading Markdown, check its SHA-256 against the lock outputs entry; return BLOCKED on a mismatch. Resolve links relative to each generated file.

Use rg to select only relevant API, requirement, architecture, and data-movement Markdown. Do not fetch the same NVIDIA product documentation. For each product fact, record the SDK documentation root, local Markdown path, packaged source path, source SHA-256, version, and section or PDF page.

Do not inspect the VPU ISA instruction-by-instruction reference during Spec (the Programmer's Guide chapter titled "Instruction Set Reference"). The architecture overview remains available for defining platform constraints.

Collect requirements

Inspect supplied implementations within the user's authorized scope and their license terms.

Use this precedence:

  1. Explicit user requirements.

  2. An approved supplied specification.

  3. The public API and independent CPU reference.

  4. Correctness tests, workloads, fixtures, and expected results.

  5. Public operator API documentation.

  6. Public algorithm and format documentation.

  7. Public SDK constraints.

  8. An assumption that the user must approve.

For a URL, record its title, URL, access date, license when available, and SHA-256 for downloaded source. Follow only links that resolve the contract.

For a change or repair, reconcile the existing API, CPU reference, tests, workloads, KPI cases, benchmark cases, and build wiring. Record each conflict. Do not silently select one conflicting source.

Do not copy source into the output. Do not use an example as proof for an unspecified case.

Write the three model outputs

Copy these templates into $WORK_DIR/configure/ and fill them according to the handoff requirements:

The templates own the field names. Write strict JSON. Do not write comments, duplicate keys, trailing commas, NaN, or infinity tokens. Use null for an unknown optional value.

Before finalizing, set the spec's status to CONFIGURED only when no blocking requirement remains. Set the matrix's operator to the spec's operator.name. Both coverage.uncovered_requirement_ids and coverage.unresolved_cases must be empty; resolve outstanding cases before creating the handoff.

For each requirement:

  1. Assign a stable ID.

  2. State the source and authority: public_nvidia, user_input, skill_workflow, or assumption.

  3. Define the observable API, resource, parameter, arithmetic, border, aliasing, execution, error, safety, and interoperability behavior that applies.

  4. Add an unresolved item when a missing value can change behavior.

  5. Mark the item as blocking only when implementation cannot proceed safely.

Record design constraints, not implementation choices. Mark a possible dataflow, tile, VMEM layout, vector-tail method, address generator, lookup method, or L2 use as candidate unless the contract requires it.

Define the test matrix

Require at least one correctness case with an independent expected result. Each requirement must have a test. Link every test to one or more requirement IDs. Include the cases that apply:

  • Each supported type, format, plane, and parameter family.

  • Minimum, maximum, odd, partial-tile, and vector-tail dimensions.

  • Tight and padded pitch.

  • Each border mode and corner.

  • Rounding, saturation, overflow, NaN, and infinity rules.

  • Structured and seeded-random input.

  • Valid and invalid aliasing.

  • Repeated submission and asynchronous execution.

  • Invalid resources, formats, dimensions, pitches, and parameters.

  • Required hardware correctness.

Set execution_policy.hardware to required. Set execution_policy.emulator to the selected EMU policy. Use the same approved correctness cases, inputs, references, and tolerances on EMU and hardware when EMU runs. EMU execution is an early aid. It is not hardware verification.

Add performance cases only when the user or source contract requires them. For each performance case, define the workload, metric, warm-up count, at least 1000 hardware samples, target conditions, and acceptance rule when one exists. Do not turn a public benchmark into a universal threshold. Do not derive a Speed-of-Light target from the implementation under test.

A missing performance target does not block correctness configuration. Use not_set for performance acceptance.

Record evidence

evidence.json records where requirements came from and which files support them. See the field purposes in the handoff requirements.

In evidence.json, record each used source once. For a project file, record only its category, path relative to PROJECT_ROOT, requirement IDs, and use. Do not calculate a hash, size, or absolute path. The finalizer calculates those values.

Record assumptions and conflicts in their named lists.

Create and check the handoff

ScriptCommandInputsOutputsExit codes
finalize_opgen_inputs.pypython3 "$SKILL_ROOT/scripts/finalize_opgen_inputs.py" --operator-spec "$WORK_DIR/configure/operator-spec.json" --test-matrix "$WORK_DIR/configure/test-matrix.json" --evidence "$WORK_DIR/configure/evidence.json" --doctor-report "$DOCTOR_REPORT" --workspace "$PROJECT_ROOT" --output "$WORK_DIR/configure/opgen-inputs.json"Spec, test matrix, evidence, Doctor report, and project root.opgen-inputs.json and a JSON validation summary.0: valid; 1: failed; 2: invalid command arguments.
finalize_opgen_inputs.pypython3 "$SKILL_ROOT/scripts/finalize_opgen_inputs.py" --check "$WORK_DIR/configure/opgen-inputs.json"Finalized handoff and its recorded inputs.JSON validation summary; read-only check.0: valid; 1: failed; 2: invalid command arguments.

After the three JSON files are final, resolve DOCTOR_REPORT to the absolute path of the supplied Doctor report and run:

python3 "$SKILL_ROOT/scripts/finalize_opgen_inputs.py" \
  --operator-spec "$WORK_DIR/configure/operator-spec.json" \
  --test-matrix "$WORK_DIR/configure/test-matrix.json" \
  --evidence "$WORK_DIR/configure/evidence.json" \
  --doctor-report "$DOCTOR_REPORT" \
  --workspace "$PROJECT_ROOT" \
  --output "$WORK_DIR/configure/opgen-inputs.json"

Do not create opgen-inputs.json with the model.

If this command reports a missing test for a requirement, add the test or link an existing test that checks the requirement. Run the command again.

Then run:

python3 "$SKILL_ROOT/scripts/finalize_opgen_inputs.py" \
  --check "$WORK_DIR/configure/opgen-inputs.json"

Do not modify a recorded input after finalization. Return BLOCKED if either command still fails. Give the files to OpGen only after both commands pass.

Output Format

Write $WORK_DIR/reports/configure-report.md with the report template.

Return one result:

  • CONFIGURED: No blocking question remains, and both finalizer commands pass.

  • NEEDS_INPUT: Missing behavior can change the API or required result.

  • INVALID_INPUT: Sources conflict, and no precedence rule resolves them.

  • BLOCKED: A required path, tool, or permission is unavailable.

Return:

Result: CONFIGURED | NEEDS_INPUT | INVALID_INPUT | BLOCKED
Operator: <name>
Task mode: <new | change | repair>
EMU policy: <optional | required>
Requirements: <count>
Correctness cases: <count>
Performance cases: <count>
Blocking questions: <count>
Specification: <absolute path>
Test matrix: <absolute path>
Evidence: <absolute path>
OpGen inputs: <absolute path>
Active workspace: <absolute path>

Stop after these outputs. Do not invoke OpGen.

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
Venkat Balan
Publisher
NVIDIA (Official)
Distributed by
NVIDIA
Source
NVIDIA/skills · skills/pva-spec · commit fce3cca
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE-APACHE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download pva-spec.zip