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unitorch-copilot-cli

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Mis à jour2 juillet 2026 à 17:23

Use when an agent needs to discover and invoke registered UniTorch copilot tools through `unitorch-copilot-cli`.

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

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Source

fuliucansheng

fuliucansheng/unitorch

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Métiers associésSOC

Basé sur la classification professionnelle SOC

Développeurs de logicielsProfessions informatiques et mathématiques·SOC 15-1252

Explorateur de fichiers

2 fichiers

SKILL.md

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name	unitorch-copilot-cli
description	Use when an agent needs to discover and invoke registered UniTorch copilot tools through `unitorch-copilot-cli`.

unitorch-copilot-cli

unitorch-copilot-cli exposes registered UniTorch copilot tools as a single skill package. Each child directory documents one registered tool, including CLI usage, Python invocation, parameters, and any remote FastAPI adapter.

Usage

unitorch-copilot-cli
unitorch-copilot-cli <tool-name> --arg=value

Registered Tools

Tool	Skill	Description
`core/copilot/pkg_infos`	core-copilot-pkg_infos	List registered unitorch packages and copilot tools.

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config-ini

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Guidance for writing, reviewing, and updating unitorch INI configuration files for train, eval, infer, and FastAPI workflows. Use when creating or modifying examples/configs/*.ini, reasoning about Config interpolation and CLI overrides, composing preprocess_functions, choosing registered component names, or debugging unitorch CLI config behavior.

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unitorch-copilot-cli-core-copilot-pkg-infos

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Use when an agent needs to invoke the `core/copilot/pkg_infos` unitorch copilot tool.

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infer-model

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Guidance for creating, reviewing, running, and debugging unitorch batch model inference workflows with unitorch-infer. Use when preparing inference INI configs, choosing registered models/processors/postprocess functions/writers, running inference from checkpoints, configuring vLLM inference, preserving raw input columns in outputs, or diagnosing empty, duplicated, or incorrect inference results.

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replace-decorator

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Reference for using, reviewing, or modifying unitorch's @replace decorator in src/unitorch/utils/decorators.py. Use when overriding upstream classes, adding replacement classes under modules/replace, reasoning about process-global monkey patches, or debugging import-time replacement and subclass __bases__ rewriting.

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serve-fastapi

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Guidance for creating, reviewing, launching, calling, and debugging unitorch FastAPI services with unitorch-fastapi and CopilotClient. Use when preparing FastAPI INI configs, choosing registered core/fastapi services, configuring routers and pipeline sections, starting or stopping daemon/foreground servers, calling /start /status /generate endpoints, using autostart_services, or diagnosing health-check, port, route, service loading, and request-format issues.

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train-model

fuliucansheng/unitorch

Guidance for creating, reviewing, running, and debugging unitorch model training workflows with unitorch-train. Use when preparing training INI configs, choosing registered models/processors/losses/scores, launching single-GPU or distributed training, checking checkpoint loading, monitoring loss and validation metrics, or diagnosing unstable training.

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