菜单
Use when an agent needs to invoke the `core/copilot/pkg_infos` unitorch copilot tool.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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.
Use when an agent needs to discover and invoke registered UniTorch copilot tools through `unitorch-copilot-cli`.
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.
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.
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.
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.
| name | unitorch-copilot-cli-core-copilot-pkg_infos |
| description | Use when an agent needs to invoke the `core/copilot/pkg_infos` unitorch copilot tool. |
List registered unitorch packages and copilot tools.
This is a subskill of unitorch-copilot-cli. Use the parent skill index to discover other registered copilot tools.
Use this skill when you need to call core/copilot/pkg_infos through unitorch copilot.
unitorch-copilot-cli core/copilot/pkg_infos
from unitorch.cli.copilots import get_copilot_tool
tool = get_copilot_tool("core/copilot/pkg_infos")
result = tool.invoke()
| Name | Type | Required | Default |
|---|---|---|---|
name | Optional[str] | no |
This copilot tool does not declare a remote FastAPI adapter.