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PaneriVatsal
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apify-generate-output-schema

Generate Apify Actor output schemas from repository source code and storage usage.

Updated Jun 22, 2026
Search Tags:#metadata#apify#json schema#actor#key-value store#dataset schema
One-click install
npx skills add https://github.com/PaneriVatsal/FRIDAY --skill apify-generate-output-schema-panerivatsal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: apify-generate-output-schema
Source: https://github.com/PaneriVatsal/FRIDAY/tree/main/.agents/skills/apify-generate-output-schema
Command: npx skills add https://github.com/PaneriVatsal/FRIDAY --skill apify-generate-output-schema-panerivatsal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns an Apify Actor repository into accurate output metadata so the Console can display results clearly and consistently without guessing.

Core Features & Use Cases

  • Dataset Schema Generation: Identifies every field the Actor can output and maps it into a complete dataset schema.
  • Storage Analysis: Detects key-value store usage and documents collections created by the Actor.
  • Actor Configuration Updates: Produces the schema files and wires them into actor configuration for a cleaner release workflow.
  • Use Case: Use this Skill when you need to publish or maintain an Apify Actor and want the output tab, dataset schema, and stored-file views to match the actual runtime behavior.

Quick Start

Use this skill to inspect an Apify Actor repository and generate matching dataset, key-value store, and output schema files from the actual code.

Frequently Asked Questions about apify-generate-output-schema

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an Apify dataset schema from existing Actor source code?▼

An Apify output schema maps Actor repository source code into structured dataset fields and key-value store collections, ensuring Console display and validation rules match actual runtime behavior without manual guessing.

How do I document key-value store collections created by my Apify Actor?▼

To update actor configuration with schema files, generate dataset and key-value store schemas from the source code and wire them into the Actor configuration for a cleaner release workflow that preserves Console compatibility.

Does this schema generation approach work with multi-file Apify Actors?▼

Schema generation handles standalone and multi-file Apify Actors by scanning the repository source code to ensure schema definitions match actual pushData and setValue behavior across all files for Console compatibility.

Why does my Apify Actor output tab not match the actual dataset fields?▼

In an Apify Actor repository, you need the source code files containing pushData and setValue calls so the schema generator can analyze storage usage and produce matching dataset and key-value store schemas.

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