new API创建
- 作者仓库星标 12
- 作者仓库 camunda-ai-dev-kit
Generate an agentic Camunda 8 BPMN process. Find and read the "Agentic BPMN" section of camunda-dev-guide.md for ad-hoc sub-process XML, connector task types, input targets, and fromAi() usage.
$ARGUMENTS
Use the AI Agent Sub-process pattern (recommended):
- Create a
bpmn:adHocSubProcesswithzeebe:taskDefinition type="io.camunda.agenticai:aiagent-job-worker:1" - Add
zeebe:adHoc outputCollection="toolCallResults" outputElement="={id: toolCall._meta.id, name: toolCall._meta.name, content: toolCallResult}"— required for tool result collection - Add
zeebe:taskHeaderswithresultVariable=agent - Add tools as activities inside (no incoming flows, no start/end events)
- Use
fromAi()in tool input mappings for AI-generated parameters - Each tool must write output to
toolCallResultvariable (e.g.resultExpression→={toolCallResult: response.body}) - Add
<bpmn:documentation>to each tool describing what it does - Configure
systemPrompt,userPrompt,modelProvider, andauthentication.apiKey({{secrets.KEY_NAME}})
Tools can also be sub-processes for multi-step async patterns:
- Put a service task (action) followed by a catch event (wait) inside a sub-process
- The sub-process is the tool entry point; inner steps are hidden from the agent
- Use this for send+wait, request+callback, or any tool needing async interaction
- See the "Sub-flow Tool Pattern" section in camunda-dev-guide.md
For non-REST connectors as tools, look up their task type and input targets via the Camunda Docs MCP tool.
Save to resources/. Deploy with c8ctl.
- 流狐分类
- AI 智能
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @meyerdan · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 需简单配置
- 是否需要外部 API Key
- 需要 · Vendor-specific
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 检测到的网络行为
- 允许外网请求
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Generate an agentic Camunda 8 BPMN process. Find and read the "Agentic BPMN" section of `camunda-dev-guide.md` for ad-hoc sub-process XML, connector task types, input targets, and `fromAi()` usage. $ARGUMENTS Use the **AI Agent Sub-process** pattern (recommended): …
Generate an agentic Camunda 8 BPMN process. Find and read the "Agentic BPMN" section of `camunda-dev-guide.md` for ad-hoc sub-process XML, connector task types, input targets, and `fromAi()` usage.
$ARGUMENTS
Use the **AI Agent Sub-process** pattern (recommended):
1. Create a `bpmn:adHocSubProcess` with `zeebe:taskDefinition type="io.camunda.agenticai:aiagent-job-worker:1"`
2. Add `zeebe:adHoc outputCollection="toolCallResults" outputElement="={id: toolCall._meta.id, name: toolCall._meta.name, content: toolCallResult}"` — **required** for tool result collection
3. Add `zeebe:taskHeaders` with `resultVariable` = `agent`
4. Add tools as activities inside (no incoming flows, no start/end events)
5. Use `fromAi()` in tool input mappings for AI-generated parameters
6. Each tool **must** write output to `toolCallResult` variable (e.g. `resultExpression` → `={toolCallResult: response.body}`)
7. Add `<bpmn:documentation>` to each tool describing what it does
8. Configure `systemPrompt`, `userPrompt`, `modelProvider`, and `authentication.apiKey` (`{{secrets.KEY_NAME}}`)
Tools can also be **sub-processes** for multi-step async patterns:
- Put a service task (action) followed by a catch event (wait) inside a sub-process
- The sub-process is the tool entry point; inner steps are hidden from the agent
- Use this for send+wait, request+callback, or any tool needing async interaction
- See the "Sub-flow Tool Pattern" section in camunda-dev-guide.md
For non-REST connectors as tools, look up their task type and input targets via the Camunda Docs MCP tool.
Save to resources/. Deploy with c8ctl. 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> 原文未使用二、三级标题
要点 -> AI Agent Sub-process · required · must · sub-processes
文件/命令 -> camunda-dev-guide.md · fromAi() · bpmn:adHocSubProcess · zeebe:taskDefinition type="io.camunda.agenticai:aiagent-job-worker:1" · zeebe:taskHeaders · resultVariable · toolCallResult · resultExpression
内容 SHA-256 -> 3b9919a5f641
原文结构
适用与边界
原文中的明确线索
camunda-dev-guide.md、fromAi()、bpmn:adHocSubProcess、zeebe:taskDefinition type="io.camunda.agenticai:aiagent-job-worker:1"、zeebe:taskHeaders、resultVariable、toolCallResult、resultExpression