jeecg-aiflow SKILL.md skillA
jeecg-aiflow from jeecgboot/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jeecgboot/skills/jeecg-aiflow@git:20260605.10fcd31Pins git:20260605.10fcd31 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jeecgboot/skills
- Path
jeecg-aiflow/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260605.10fcd31, committed Jun 5, 2026
- Size
- 25,961 bytes
- Repository stars
- 246
- License
- Apache-2.0
JeecgBoot AI 编排流程（AIFlow）全生命周期管理——通过自然语言描述需求，自动创建、编辑、查询、删除、调试、发布 AI 编排流程。 只要用户意图涉及「AI编排」「AIFlow」就必须使用本技能，包括但不限于： 创建 AI 编排流程（"做一个AI流程"、"创建aiflow"、"新建编排"、"做一个知识库问答流程"、"创建一个大模型对话流程"）， 修改已有流程（"给流程加个节点"、"改一下LLM的提示词"、"修改流程"）， 查询流程（"查看流程列表"、"有哪些AI流程"）， 删除流程（"删除流程"、"移除XX流程"）， 调试运行流程（"调试流程"、"运行流程"、"测试流程"）， 发布管理（"发布流程"、"取消发布"）， 复制流程（"复制流程"、"克隆流程"）。 关键词触发：aiflow、ai-flow、AI编排、AI流程、编排流程、大模型流程、知识库流程、LLM流程。 注意：本技能仅处理 AI 编排流程（AIFlow），不处理 BPMN 工作流（使用 jeecg-bpmn）、 不处理简流（使用 jeecg-lowcode-miniflow）。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# JeecgBoot AIFlow — AI 编排流程管理
## 设计原则
本 skill 的核心架构是**模板驱动**：AI 不直接生成节点 JSON，而是选择节点类型后由脚本从权威模板生成完整结构，AI 只负责填写业务配置。这样做的原因是 AIFlow 的节点配置字段非常多且结构严格，让 AI 从零生成容易产生格式错误。chain（LiteFlow EL 表达式）也由 Python 脚本自动生成，AI 不需要关心。
修改已有流程时，先查询再修改——因为流程的 design JSON 包含所有节点状态，凭记忆操作容易丢失配置。
## 前置条件
用户需提供两个信息：
1. **API 地址**（默认 `http://localhost:3100/jeecgboot`）
2. **X-Access-Token**（从浏览器 F12 → Network → Request Headers 复制）
## 工作目录机制
所有操作基于「工作目录」。首先通过 `init-work` 创建工作目录，后续所有命令只需传 `-w`，脚本自动从工作目录中的 `meta.json` 读取 API 凭证和流程信息，design.json 也存放在工作目录中。
```
工作目录结构：
{临时目录}/jeecg-aiflow/{workId}/
├── meta.json ← name, descr, apiBase, token, flowId
└── design.json ← 节点和连线的完整 JSON
```
---
## 创建流程（核心流程）
### 1. 初始化工作目录
```bash
python "<skill目录>/scripts/aiflow_creator.py" init-work \
--name "流程名称" \
--descr "流程描述" \
--api-base "<api_base>" \
--token "<token>"
```
返回 `workId`，后续所有命令都用这个 ID。
### 2. 理解需求，选择节点
根据用户描述，从下方「节点类型速查表」选择节点。每个流程必须包含 1 个 `start` 和至少 1 个 `end`。
### 3. 展示摘要，等待用户确认（强制）
生成之前必须展示完整摘要并等待用户明确确认。除非用户事先说过"不用确认直接生成"，否则不要跳过这一步。
摘要需要包含**三部分**：节点列表、节点关系（连线）、关键配置：
```
流程名称：知识库问答助手
节点列表：
1. start — 开始（接收用户问题）
2. knowledge — 知识库检索
3. llm — 大模型（根据检索结果回答）
…Read the whole file at its exact version.
How to install
mdr add jeecgboot/skills/jeecg-aiflow@sha256:292b1033ba008fd4The line at the top of this page pins the label git:20260605.10fcd31, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hae4gwwklkx3oyaf)
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Versions
The registry has recorded 1 version of this file, committed on Jun 5, 2026.
Audit of the latest version
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Source
jeecgboot/skills · 246 stars · license Apache-2.0 · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hae4gwwklkx3oyaf GET https://markdownregistry.com/api/v1/resolve?ref=jeecgboot/skills/jeecg-aiflow GET https://markdownregistry.com/api/v1/blob/292b1033ba008fd4e67dcb9fcab0c8ac6055462c8079a9a89dd18d0eb4ba0a20
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.