SoloFlow
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SoloFlowlist my available skills and flows"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SoloFlow
把 AI 工作方法存成文件(Skill),按步骤自动执行(Flow)。
当前稳定版本:v2.0.0。从 v1 升级请先查看 v2.0.0 变更与迁移说明。
30 秒跑通
需要 Python 3.12+ 和 DeepSeek API Key。先配置密钥:
$env:DEEPSEEK_API_KEY = "你的密钥"或者在当前目录创建 .env:
DEEPSEEK_API_KEY=你的密钥然后运行内置写作 Skill:
uvx soloflow run content-writer "为我的产品写一篇介绍"不想产生 API 费用时,先预览最终 Prompt:
uvx soloflow run content-writer "为我的产品写一篇介绍" --dry-runRelated MCP server: local-skills-mcp
只需理解三个概念
Skill:一份可以重复执行的 AI 工作手册,例如
content-writer。Flow:把多个 Skill 按依赖顺序串起来,例如
blog-pipeline。Agent(可选):给 Skill 加上固定角色和行为规则,例如
content-editor。
常用命令
命令 | 用途 |
| 运行一个 Skill,推荐入口 |
| 查看可用 Skill |
| 查看 Skill 内容 |
| 创建 Skill |
| 运行 Flow |
| 查看 Flow 运行记录 |
| 实时查看 Flow 进度 |
| 从失败处恢复 Flow |
| 用 Agent 执行任务 |
如果从源码开发,把 sf 换成 uv run sf。项目目录、~/.soloflow/、安装包内置资产按此顺序查找,同名文件以前者为准。
下一步
License
Maintenance
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