SoloFlow
MCP server that enables running and managing file-based AI Skills, Agents, and Flow workflows as DAGs, with tools for listing, executing, and resuming tasks via stdio JSON-RPC.
README
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-run
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 |
|---|---|
sf run <skill> <task> |
运行一个 Skill，推荐入口 |
sf skill list |
查看可用 Skill |
sf skill show <name> |
查看 Skill 内容 |
sf skill init <name> |
创建 Skill |
sf flow run <name> -i key=value |
运行 Flow |
sf flow runs |
查看 Flow 运行记录 |
sf flow watch <run-id> |
实时查看 Flow 进度 |
sf flow resume <run-id> |
从失败处恢复 Flow |
sf agent run <name> <task> |
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
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