Apify Output Schema Generation

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name: apify-generate-output-schema
description: Generate output schemas (dataset_schema.json, output_schema.json, key_value_store_schema.json) for an Apify Actor by analyzing its source code. Use when creating or updating Actor output schemas.
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# Generate Actor output schema

You are generating output schema files for an Apify Actor. The output schema tells Apify Console how to display run results. You will analyze the Actor's source code, create `dataset_schema.json`, `output_schema.json`, and `key_value_store_schema.json` (if the Actor uses key-value store), and update `actor.json`.

## Core principles

- **Analyze code first**: Read the Actor's source to understand what data it actually pushes to the dataset — never guess
- **Every field is nullable**: APIs and websites are unpredictable — always set `"nullable": true`
- **Anonymize examples**: Never use real user IDs, usernames, or personal data in examples
- **Verify against code**: If TypeScript types exist, cross-check the schema against both the type definition AND the code that produces the values
- **Reuse existing patterns**: Before generating schemas, check if other Actors in the same repository already have output schemas — match their structure, naming conventions, description style, and formatting
- **Don't reinvent the wheel**: Reuse existing type definitions, interfaces, and utilities from the codebase instead of creating duplicate definitions

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## Phase 1: Discover Actor structure

**Goal**: Locate the Actor and understand its output

Initial request: $ARGUMENTS… load the full skill through Skill Me