twenty/packages/twenty-docs/developers/extend/apps/logic/skills-and-agents.mdx

---
title: Skills & Agents
description: Define AI skills and agents for your app.
icon: "robot"
---

<Warning>
  Skills and agents are currently in alpha. The feature works but is still evolving.
</Warning>

Apps can define AI capabilities that live inside the workspace — reusable skill instructions and agents with custom system prompts.

<AccordionGroup>
<Accordion title="defineSkill" description="Define AI agent skills">

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.

</Accordion>
<Accordion title="defineAgent" description="Define AI agents with custom prompts">

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`.

</Accordion>
<Accordion title="runAgent" description="Run an agent from a logic function">

`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()`. Pass either a `prompt` string or a `messages` conversation
history — not both:

```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 <recordId>: fill empty fields from its listing URL.',
});
```

For multi-turn bots (Slack, Discord, Teams, …), pass thread history as
`messages` instead of a single `prompt`:

```ts src/logic-functions/reply-in-thread.ts
import { runAgent } from 'twenty-sdk/logic-function';

const { result, error, success } = await runAgent({
  agentUniversalIdentifier: 'b3c4d5e6-f7a8-9012-bcde-f34567890123',
  messages: [
    { role: 'user', content: 'Who owns Acme?' },
    { role: 'assistant', content: 'Sarah owns the Acme account.' },
    { role: 'user', content: 'What was the last touchpoint?' },
  ],
});
```

Key points:
- Provide **exactly one** of `prompt` (string) or `messages` (1 to 100 entries
  of `{ role: 'user' | 'assistant', content: string }`).
- 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],
});
```

<Warning>
  **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()`.
</Warning>

</Accordion>
</AccordionGroup>