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SkillsMP は tenstorrent/tt-studio から 8 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 8 件中 8 件を表示しています。
The complete CLI design language distilled from TT-Studio's `python run.py`, made portable to any repo: the command surface (one self-bootstrapping entrypoint, grouped `--help` panels, early-dispatch utility flags, lifecycle symmetry, re-viewable state), the…
原文の言語: 英語
Draft TT-Studio GitHub release notes in the house style: study the last one or two published releases for structure and voice, diff the current release branch against the previous release tag/commit, then group the changes into 🚀 New Features / 🐛 Bug Fixes /…
原文の言語: 英語
Make a change in TT-Studio the team way: branch off `dev` with a `<username>/<feature>` branch, keep the diff minimal and in-scope, verify the running app via its health endpoints before pushing, leave every other branch untouched, and open a PR against `dev`…
原文の言語: 英語
Bring up a model that tt-inference-server lists as supported but that TT-Studio can't deploy today — add it to the catalog, deploy it on real hardware, triage failures layer by layer (tt-studio → tt-inference-server → tt-metal), verify fixes by hot-patching…
原文の言語: 英語
The TT-Studio CLI skill — how the `python run.py` command-line interface (the `tt_setup/` package) is built and how to change it the TT-Studio way: Typer CLI conventions (flag grouping, early-dispatch utility flags, `--help`/`--help-env` docs), package layout…
原文の言語: 英語
Review third-party license attribution for TT-Studio when dependencies or bundled assets change, and keep the attribution files in sync. Use when a PR adds/updates a dependency (app/backend/requirements.txt, app/agent, inference-api, docker-control-service,…
原文の言語: 英語
Triage a TT-Studio bug-report ZIP / log bundle (named `tt-studio-logs-ttbr-*` or referenced as `ttbr-*`) to root-cause why a model deploy, board allocation, or Voice Agent pipeline failed. Use when the user shares a path to a TT-Studio log bundle, mentions a…
原文の言語: 英語
Project map for TT-Studio — what the platform is, where its docs live, its key components (React frontend, Django backend, FastAPI inference server, Docker), and the AI model types it supports. Use when you need a high-level orientation of the repo, want to…
原文の言語: 英語