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SkillsMP a collecté 11 skills depuis NVIDIA/TensorRT-Model-Connect. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 11 skills collectés sur 11.
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…
Langue du texte source : anglais
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.…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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,…
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais