From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible user experience.
Skill Claude CodeCodex
Use when TensorRT output diverges from a model reference, model-first validation fails, generated text or media is wrong, or a family change introduces a numerical mismatch. Routes the investigation by model modality and escalates from the first divergent boundary to the smallest responsible family-owned operation.
Skill Claude CodeCodex
Use for documentation maintenance scans that keep the canonical website journey, repo-local skills, commands, API reference, architecture and design, extension guides, feature context, ADRs, and traceability status aligned with the current GitHub main branch. Covers the Source/Internal CI boundary and model-owned…
Skill Claude CodeCodex
Use when adding, reviewing, or debugging FP16/BF16 precision in a family-owned, strongly typed TensorRT network. Covers dtype threading, explicit FP32 boundaries, typed constants, compact GQA/MQA state, bundle evidence, and low-precision validation.
Skill Claude CodeCodex
Use when evaluating FP16, BF16, or supported quantization formats for a TensorRT-Model-Connect model. Establishes a model-owned correctness baseline, changes one effective build option at a time, detects ineffective precision, and retains comparable parity, memory, bundle, and performance evidence.
Skill Claude CodeCodex
Use when monitoring GitHub pull request CI, diagnosing failed checks, rebasing branches onto github/main, applying narrowly scoped fixes, and updating PRs until their latest checks are green or a human blocker is identified.
Skill Claude CodeCodex
Use when diagnosing one model's runtime cost or producing comparable TensorRT-Model-Connect performance evidence. Routes quick investigation to the unified profiler and release or qualification claims to the checked-in performance matrix and model-owned performance contract.
Skill Claude CodeCodex
Prepare a TensorRT-Model-Connect development or deployment-validation environment from a fresh checkout on an unfamiliar host. Use before builds, tests, packaging, or runtime work when no working repo environment is known.
Skill Claude CodeCodex
Use when converting QA findings, black-box failures, red-team reports, regression evidence, or local bug notes into GitHub Issues for NVIDIA/TensorRT-Model-Connect. Standardizes checking issue templates, checking labels, de-duplicating existing issues, drafting a bug report, creating the issue on GitHub, applying the…
Skill Claude CodeCodex
Use when publishing an existing TensorRT-Model-Connect change as a GitHub pull request. Verifies authenticated repository access, branch and diff scope, validation evidence, commit identity, reviewer-facing text, exact pushed head, and the created draft PR without merging it.
Skill Claude CodeCodex
Use when onboarding a Hugging Face model into TensorRT-Model-Connect or extending an existing family to produce a .bundle bundle. Drives ownership-first implementation across Python builder, native runtime, and model-owned E2E descriptors, then requires reference-consistency and runtime evidence before support is…
Skill Claude CodeCodex
Draft, revise, or review Git commit messages, PR titles, PR descriptions, and squash or rebase merge messages. Use when Codex needs to summarize a diff for reviewers, convert rough notes into a commit or PR message, check a message against Git and Conventional Commits style, or prepare repository contribution text…