How do I install the Refactor Op skill?

Run npx skillmds@latest add cvcuda/refactor-op in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Refactor Op safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Refactor Op?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Refactor Op free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Refactor Op?

cvcuda (@cvcuda) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Refactor Op by cvcuda — Agent Skill

Name: Refactor Op
Author: cvcuda

Refactor Op

Find and safely apply per-operator refactoring / redundancy-reduction opportunities in a CV-CUDA operator (near-duplicate Tensor/VarShape kernels, reinvented shared utilities, dead code). Use when asked to reduce code duplication, de-duplicate or unify an operator's kernels/bindings, remove dead code, or verify a refactor changed nothing observable. Produces a deterministic findings-first report; the apply path is gated by a strict bit-exact / feature-set / test-coverage parity check.

cvcuda f265a5c 2.9 KB Updated Sep 17, 2026

File contents

Refactor Op

Thin entry point. The catalog substance and the checks are shared repo artifacts: the deterministic checker tools/refactor_op.py and the spec .agents/guidance/REFACTOR_OP_GUIDELINES.md. Keep this skill thin; do not duplicate the catalog here. refactor-op is complementary to SonarQube CPD (which owns generic, whole-corpus duplication) — it surfaces operator-scoped semantic redundancy Sonar cannot express.

Workflow

assess — python3 tools/refactor_op.py <Operator> (scope with --domain impl|api|xcut; --format json for machine output). Read-only and deterministic. Interpret each finding by its RED-* id in .agents/guidance/REFACTOR_OP_GUIDELINES.md.
apply (only if asked to fix) — apply the finding's named corrective action on the implementation / binding only, reusing existing shared utilities. Never edit the operator's tests or anything under bench/, and never change public API/ABI.
verify — when the MR scope includes a refactor, run python3 tools/refactor_op.py <Operator> --phase verify --base <ref> locally and require zero GAP (frozen test surface, frozen bench surface, API/ABI, feature-matrix and coverage-matrix parity), then build + run the frozen Op<Operator> tests (bit-exact, VER-6) and re-run assess (redundancy gone, VER-7). The verify report ends with a deterministic refactor summary (LOC delta + RED-* resolved before→after) — report it as the outcome. If the MR also changes performance-sensitive implementation, provide benchmark evidence through the optimization workflow.

Inviolable: refactoring changes nothing observable — bit-exact output, identical feature set, frozen tests and benchmarks, unchanged API/ABI; never weaken a test or fabricate a baseline to pass. There is no standing refactor-parity CI job; invoke the local verify flow when the MR scope calls for it.

Prompt Handling

Requests like "reduce duplication in Flip", "/refactor-op BrightnessContrast", "unify the Tensor and VarShape kernels for Resize", "is there dead code in OpStack?", or "verify my refactor is bit-exact" trigger this skill. Use --domain to scope; use --phase verify to gate an applied refactor.

---name: refactor-opdescription: Find and safely apply per-operator refactoring / redundancy-reduction opportunities in a CV-CUDA operator (near-duplicate Tensor/VarShape kernels, reinvented shared utilities, dead code). Use when asked to reduce code duplication, de-duplicate or unify an operator's kernels/bindings, remove dead code, or verify a refactor changed nothing observable. Produces a deterministic findings-first report; the apply path is gated by a strict bit-exact / feature-set / test-coverage parity check.---[//]: # "SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved."[//]: # "SPDX-License-Identifier: Apache-2.0"# Refactor OpThin entry point. The catalog substance and the checks are shared repo artifacts: the deterministicchecker `tools/refactor_op.py` and the spec `.agents/guidance/REFACTOR_OP_GUIDELINES.md`. Keep thisskill thin; do not duplicate the catalog here. `refactor-op` is **complementary to SonarQube CPD**(which owns generic, whole-corpus duplication) — it surfaces operator-scoped *semantic* redundancySonar cannot express.## Workflow1. **assess** — `python3 tools/refactor_op.py <Operator>` (scope with `--domain impl|api|xcut`; `--format json` for machine output). Read-only and deterministic. Interpret each finding by its `RED-*` id in `.agents/guidance/REFACTOR_OP_GUIDELINES.md`.2. **apply** (only if asked to fix) — apply the finding's named corrective action on the **implementation / binding only**, reusing existing shared utilities. **Never** edit the operator's tests or anything under `bench/`, and **never** change public API/ABI.3. **verify** — when the MR scope includes a refactor, run `python3 tools/refactor_op.py <Operator> --phase verify --base <ref>` locally and require zero `GAP` (frozen test surface, frozen bench surface, API/ABI, feature-matrix and coverage-matrix parity), then build + run the frozen `Op<Operator>` tests (bit-exact, VER-6) and re-run assess (redundancy gone, VER-7). The verify report ends with a deterministic **refactor summary** (LOC delta + `RED-*` resolved before→after) — report it as the outcome. If the MR also changes performance-sensitive implementation, provide benchmark evidence through the optimization workflow.Inviolable: refactoring changes nothing observable — bit-exact output, identical feature set, frozentests and benchmarks, unchanged API/ABI; never weaken a test or fabricate a baseline to pass. Thereis no standing `refactor-parity` CI job; invoke the local verify flow when the MR scope calls for it.## Prompt HandlingRequests like "reduce duplication in Flip", "/refactor-op BrightnessContrast", "unify the Tensor andVarShape kernels for Resize", "is there dead code in OpStack?", or "verify my refactor is bit-exact"trigger this skill. Use `--domain` to scope; use `--phase verify` to gate an applied refactor.

Frequently asked questions

Refactor Op

File contents

Refactor Op

Workflow

Prompt Handling

Related skills

Frequently asked questions

How do I install the Refactor Op skill?

What does the Refactor Op skill do?

Is Refactor Op safe to use?

Which AI agents work with Refactor Op?

Is Refactor Op free to use?

Who published Refactor Op?