--- title: Skills & Agents description: Define AI skills and agents for your app. icon: "robot" --- Skills and agents are currently in alpha. The feature works but is still evolving. Apps can define AI capabilities that live inside the workspace — reusable skill instructions and agents with custom system prompts. Skills define reusable instructions and capabilities that AI agents can use within your workspace. Use `defineSkill()` to define skills with built-in validation: ```ts src/skills/example-skill.ts import { defineSkill } from 'twenty-sdk/define'; export default defineSkill({ universalIdentifier: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890', name: 'sales-outreach', label: 'Sales Outreach', description: 'Guides the AI agent through a structured sales outreach process', icon: 'IconBrain', content: `You are a sales outreach assistant. When reaching out to a prospect: 1. Research the company and recent news 2. Identify the prospect's role and likely pain points 3. Draft a personalized message referencing specific details 4. Keep the tone professional but conversational`, }); ``` Key points: - `name` is a unique identifier string for the skill (kebab-case recommended). - `label` is the human-readable display name shown in the UI. - `content` contains the skill instructions — this is the text the AI agent uses. - `icon` (optional) sets the icon displayed in the UI. - `description` (optional) provides additional context about the skill's purpose. Agents are AI assistants that live inside your workspace. Use `defineAgent()` to create agents with a custom system prompt: ```ts src/agents/example-agent.ts import { defineAgent } from 'twenty-sdk/define'; export default defineAgent({ universalIdentifier: 'b3c4d5e6-f7a8-9012-bcde-f34567890123', name: 'sales-assistant', label: 'Sales Assistant', description: 'Helps the sales team draft outreach emails and research prospects', icon: 'IconRobot', prompt: 'You are a helpful sales assistant. Help users with their questions and tasks.', }); ``` Key points: - `name` is the unique identifier string for the agent (kebab-case recommended). - `label` is the display name shown in the UI. - `prompt` is the system prompt that defines the agent's behavior. - `description` (optional) provides context about what the agent does. - `icon` (optional) sets the icon displayed in the UI. - `modelId` (optional) overrides the default AI model used by the agent. - `responseFormat` (optional) controls the shape of the agent's output. Defaults to `{ type: 'text' }` for free-form text. Use `{ type: 'json', schema }` to force structured JSON output. By default an agent returns free-form text. To get structured output, set `responseFormat` to `{ type: 'json' }` and provide a `schema`: ```ts src/agents/structured-agent.ts import { defineAgent } from 'twenty-sdk/define'; export default defineAgent({ universalIdentifier: 'c4d5e6f7-a8b9-0123-cdef-456789012345', name: 'lead-scorer', label: 'Lead Scorer', prompt: 'Score the lead and explain your reasoning.', responseFormat: { type: 'json', schema: { type: 'object', properties: { score: { type: 'number', description: 'Lead score from 0 to 100' }, summary: { type: 'string', description: 'Short reasoning for the score' }, }, required: ['score', 'summary'], additionalProperties: false, }, }, }); ``` Schema notes: - The schema is a flat object: each property's `type` must be a primitive (`string`, `number`, or `boolean`). Nested objects and arrays are not supported. - `description` (optional) on each property guides the model on what to put there. - `required` (optional) lists the properties the model must always return. - `additionalProperties: false` (optional) forbids any property not declared in `properties`. `runAgent()` lets a logic function run one of your app's agents (with its skills and tools). Identify the agent by the `universalIdentifier` you passed to `defineAgent()`: ```ts src/logic-functions/run-enricher.ts import { runAgent } from 'twenty-sdk/logic-function'; const { result, error, success } = await runAgent({ agentUniversalIdentifier: 'b3c4d5e6-f7a8-9012-bcde-f34567890123', prompt: 'Enrich House Ad : fill empty fields from its listing URL.', }); ``` Key points: - The agent runs **synchronously** and can read/update records itself via its own tools — `runAgent()` resolves once the run completes. - An app can only run its own agents. - The app's [default role](/developers/extend/apps/config/roles) must grant the `AI` permission flag — add `SystemPermissionFlag.AI` to its `permissionFlagUniversalIdentifiers` (or set `canAccessAllTools: true`). Without it, `runAgent()` fails with a permission error. - Set a generous `timeoutSeconds` on the logic function — agent runs can take several seconds. - `success` is `true` and `result` is non-null when the run completes; on failure `success` is `false`, `result` is `null`, and `error` holds the reason (for example, when the workspace ran out of AI credits mid-run). ```ts src/roles/default-role.ts import { defineApplicationRole, SystemPermissionFlag } from 'twenty-sdk/define'; export default defineApplicationRole({ universalIdentifier: 'b648f87b-1d26-4961-b974-0908fd991061', label: 'Default function role', // runAgent() requires the AI permission flag on the app's default role. permissionFlagUniversalIdentifiers: [SystemPermissionFlag.AI], }); ``` **Avoid loops:** if you call `runAgent()` from a `*.updated` database-event trigger and the agent updates the same record, scope the trigger with `updatedFields` to a field the agent never writes (e.g. the source URL), or guard on whether any target field is still empty before calling `runAgent()`.