openvinotoolkit

Adds a core operator to the OpenVINO toolkit. Use when asked to implement a new operation into OpenVINO.

Add a new operation to the OpenVINO CPU plugin — node registration, JIT/oneDNN executors (AVX2/AVX-512/AMX), and functional tests.

Adds a new operation to OpenVINO Frontend pipelines with translator updates, registration, and tests.

Adds a new OpenVINO fusion transformation (subgraph to one or several operations) and corresponding tests.

Add a new operation to the OpenVINO GPU plugin — OpenCL kernel design, oneDNN-backed paths, sub-group/LWS tuning, and functional tests.

Analyze a HuggingFace model and attempt OpenVINO conversion — probe properties, run strategy matrix, classify failures, and produce a structured routing report.

Investigate and fix model conversion issues in OpenVINO Frontends (ONNX, PyTorch) — triage, debugging, accuracy comparison, and pre-submission verification.

Install Python dependencies before running verification or test steps. Choose the correct path depending on whether the agent builds OpenVINO from source or not.

Standardize GitHub Actions workflows with minimal functional changes.

Increment the version of NNCF in src/nncf/version.py.

Generate release notes for the new NNCF release.

Validate a newly supported optimum-intel model with OpenVINO GenAI. Use when: checking new model support, verifying model export to OpenVINO IR, running GenAI inference test with llm_bench, benchmarking model accuracy with who-what-benchmark.

Open a pull request to openvinotoolkit/openvino.genai. Use when: submitting changes, creating PR, opening pull request, pushing work for review, finalizing a task with a PR.

Update OpenVINO GenAI site documentation for API or feature changes. Use when: new pipelines, models, or use-cases are introduced; site docs need to reflect new capabilities.

Validate a HuggingFace tokenizer with OpenVINO Tokenizers and OpenVINO GenAI. Use when: checking if a tokenizer converts and works correctly, verifying tokenizer/detokenizer accuracy, testing normalization steps, checking GenAI Tokenizer compatibility.

Diagnose tokenizer conversion issues for OpenVINO Tokenizers. Use when: tokenizer-checker reports failures, need to pinpoint root cause location (Python conversion vs C++ operation), identify which pipeline stage diverges, determine whether to use tokenizer-fix-python or tokenizer-fix-cpp skill.

Fix Python conversion issues in OpenVINO Tokenizers. Use when: tokenizer-diagnostics reports root_cause_location=python, unsupported types need new handlers in hf_parser.py, pipeline step mapping or merging is incorrect, tokenizer_pipeline.py step classes need fixes.