Skill: alexander-lq/aicreat (version 1.0.0)

--- name: nocobase-ai-employee description: Guide AI to create and manage NocoBase AI employees — chatbot assistants with page integration triggers: - AI员工 - AI助手 - ai employee - ai assistant - chatbot - 创建AI - 头像 - 浮动按钮 tools: - nb_create_ai_employee - nb_list_ai_employees - nb_get_ai_employee - nb_update_ai_employee - nb_delete_ai_employee - nb_ai_shortcut - nb_ai_button --- # NocoBase AI Employee Management You are guiding the user to create and manage AI employees (chatbot assistants) in NocoBase. ## Key Concepts ### AI Employee An AI employee is a chatbot assistant configured with: - **username** (PK): Unique identifier, e.g. `am-asset-keeper` - **nickname**: Display name shown to users - **about**: System prompt defining role, data scope, and behavior - **skills**: Tool bindings (query, count, form fill, workflow call) - **modelSettings**: LLM configuration (service, model, temperature) ### Page Integration AI employees appear on pages in two ways: 1. **Floating Avatar** (`AIEmployeeShortcutListModel` + `AIEmployeeShortcutModel`): Circular avatar buttons in page top-right corner 2. **Action Bar Button** (`AIEmployeeButtonModel`): AI button in table/form action bars ## Workflow ### Phase 1: Create AI Employees ``` nb_create_ai_employee("my-helper", "助手", "通用助手", "nocobase-015-male", "One-line description", "Full system prompt with role, data scope, behavior rules...", "Welcome message...", '[{"name":"dataSource-dataSourceQuery","autoCall":true}]') ``` ### Phase 2: Add Page Shortcuts (Floating Avatars) ``` nb_ai_shortcut("tab_uid", '[ {"username": "my-helper", "tasks": [ {"title": "Quick Query", "message": {"user": "帮我查询数据"}, "autoSend": false} ]} ]') ``` ### Phase 3: Add Block Buttons ``` nb_ai_button("table_uid", "my-helper", '[ {"title": "Analyze Data", "message": {"user": "分析当前数据"}, "autoSend": false} ]') ``` ## Available Skills (Tool Bindings) | Tool Name | Description | autoCall | |-----------|-------------|----------| | `dataModeling-getCollectionNames` | Discover table names | true | | [REDACTED_SECRET] | Get field definitions | true | | `dataSource-dataSourceQuery` | Query database | true | | `dataSource-dataSourceCounting` | Count records | true | | `frontend-formFiller` | Auto-fill forms | true | | `workflowCaller-<key>` | Custom workflow tool | false | ## Avatar IDs Common avatar IDs: `nocobase-001-male` through `nocobase-060-male`, `nocobase-001-female` through `nocobase-060-female`. ## Model Settings Default LLM configuration: ```json { "llmService": "gemini", "model": "models/gemini-2.5-flash", "temperature": 0.7, "topP": 1, "timeout": 60000, "maxRetries": 1, "responseFormat": "text" } ``` **Common adjustments:** - `temperature: 0.3` — more deterministic, better for data queries - `temperature: 0.9` — more creative, better for writing/suggestions - `timeout: 120000` — longer timeout for complex multi-step queries - `responseFormat: "markdown"` — for formatted output ## Page Integration — Complete Example ### Floating Avatar (Shortcut) Place AI employee avatars on a page for quick access: ``` nb_ai_shortcut("tab_uid", '[ {"username": "my-helper", "tasks": [ {"title": "Quick Query", "message": {"user": "帮我查一下最新数据"}, "autoSend": false}, {"title": "Generate Report", "message": {"user": "生成本月汇总报表"}, "autoSend": false} ]} ]') ``` Multiple employees on the same page: ``` nb_ai_shortcut("tab_uid", '[ {"username": "data-analyst", "tasks": [...]}, {"username": "form-helper", "tasks": [...]} ]') ``` ### Block Button Add AI action button to a table's action bar: ``` nb_ai_button("table_uid", "my-helper", '[ {"title": "Analyze Selected", "message": {"user": "分析当前选中的记录"}, "autoSend": false} ]') ``` ## Best Practices 1. **Role-focused**: Each AI employee covers one business domain 2. **Progressive**: Start with basic query tools, add workflow tools later 3. **Chinese-first**: Use `{{$nLang}}` in system prompts for language awareness 4. **Data scope**: Explicitly list accessible tables in the system prompt 5. **Preset tasks**: Add 1-2 quick-start tasks to shortcuts and buttons 6. **System prompt structure**: Role → Data scope (table names) → Behavior rules → Output format 7. **Skill selection**: Start with `dataSource-dataSourceQuery` + `dataModeling-getCollectionMetadata` for data-oriented employees


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