Swanlab Setup

Organization

Ascend

swanlab-setup

SwanLab 实验追踪平台配置与登录管理。触发场景：(1) 配置 SwanLab 登录凭据 (2) 在容器内安装/登录 SwanLab (3) 为指定容器配置 SwanLab (4) 检查 SwanLab 连接状态。支持多种配置获取方式：环境变量、配置文件、交互式输入。可被其他 skill 通过 source scripts/functions.sh 调用。

Overview

Publisher	Ascend
Repository	`agent-skills`
Skill name	`swanlab-setup`
Stars	54
Forks	4
Bundled files	2
License	MulanPSL-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by Ascend on GitHub. Read the source before you install it.

Installation

Install the Swanlab Setup AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Ascend/agent-skills/tree/master/skills/swanlab-setup
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Ascend/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/skills/swanlab-setup .claude/skills/swanlab-setup

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Swanlab Setup in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Swanlab Setup on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Swanlab Setup is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SwanLab 配置管理

快速使用

bash
# source 共享函数库
source scripts/functions.sh

# 在当前环境配置 SwanLab
swanlab_setup

# 为指定容器配置
swanlab_setup_for_container my_container

# 检查连接状态
swanlab_check

配置获取优先级

环境变量 > 配置文件 > 交互式输入

方式	变量/路径	说明
环境变量	`SWANLAB_HOST`, `SWANLAB_API_KEY`	推荐方式
配置文件	`~/.verl/swanlab.conf`	首次交互后自动保存
交互式输入	终端提示	仅在交互式终端下触发

API

脚本 scripts/functions.sh 提供 sourceable 函数：

函数	用途
`swanlab_clear_proxy`	清除代理设置（SwanLab 连接需要）
`swanlab_load_config`	加载配置（环境变量 > 文件）
`swanlab_save_config HOST KEY`	保存配置到 `~/.verl/swanlab.conf`
`swanlab_prompt_config`	交互式获取配置
`swanlab_init`	按优先级初始化配置
`swanlab_login`	在当前环境执行 pip install + swanlab login
`swanlab_setup`	完整流程：clear_proxy + init + login
`swanlab_setup_for_container NAME`	在指定容器内执行 swanlab_setup
`swanlab_check`	检查登录状态和网络连通性

其他 Skill 调用方式

bash
# 1. 发现 skill 路径（推荐通过环境变量）
SWANLAB_SETUP_PATH="${SWANLAB_SETUP_PATH:-$(dirname "$(find ~/.claude/skills/swanlab-setup -name functions.sh 2>/dev/null || echo "")")}"

# 2. source 函数库
source "$SWANLAB_SETUP_PATH/scripts/functions.sh"

# 3. 调用
swanlab_setup

脚本结构


swanlab-setup/
├── SKILL.md              # 本文档
└── scripts/
    ├── functions.sh      # 共享函数库（被其他 skill source）
    └── swanlab_check.sh  # 独立检查脚本

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/functions.sh6 KB
scripts/swanlab_check.sh1 KB

Frequently asked questions

What does the Swanlab Setup AI skill do?

Why use Swanlab Setup on TypingMind?

Because you install it once and use it with any model. Swanlab Setup is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Swanlab Setup in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Ascend/agent-skills/tree/master/skills/swanlab-setup. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Swanlab Setup?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Swanlab Setup?

As many as you like. As long as a model supports skills, you can use Swanlab Setup with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Swanlab Setup AI skill free?

Yes. It is published on GitHub by Ascend under the MulanPSL-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

SwanLab 配置管理

快速使用

配置获取优先级

API

其他 Skill 调用方式

脚本结构

Bundled files

Frequently asked questions

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