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Last commit on October 16, 2026·Created on January 7, 2026

apify/agent-skills

“Scrape websites and run Apify automation.”
Combined rank
#219
across all skills
In Browser Automation
#6
category rank
Stars
2.5k
+0.7% in last 7d
Forks
278
+1.1% in last 7d
Watchers
12
-20.0% in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of recent attention, adoption, and active maintenance.
TL;DR

This skill provides the technical guidance necessary to create, debug, and deploy Apify Actors. It assists developers in managing the full lifecycle of a serverless cloud program, from initial coding to platform deployment.

By focusing on the precise construction of input and output schemas, it ensures that Actors are structured correctly for integration. It is designed for those building new Actors from scratch or troubleshooting existing code and schema files.

WHO IT'S FOR
AI agent / automation builders
building AI agent plugins and MCP bundles
Backend / infrastructure engineers
deploying serverless cloud programs as Actors
Integration engineers
creating workflow-automation apps and framework packages
Python and JavaScript developers
migrating existing code to the Apify platform
Compatible AgentsThe repository documents support for these agents. The skills may also work with other agents that can load SKILL.md files, but they may need some setup or small changes.

Use this skill collection

Follow the documented setup, then try a first task.

See the repository for installation instructions.

Open repository instructions ↗

Give it something to do.

Suggested first task

Get a quick follower-count lookup

Uses apify-ultimate-scraper

  • Apify CLI v1.5.0+ with an authenticated session.
  • Nike on Instagram is the sample target; replace it with your desired account and platform.

Make sure apify-ultimate-scraper is installed in your agent before trying this task.

Use apify-ultimate-scraper to look up Nike's Instagram follower count and present a quick answer in chat with the run and dataset links.
Suggested first task

Create an input schema for an existing Actor

Uses apify-actor-development

  • The existing Actor project root and its source files.
  • An installed, authenticated Apify CLI.
  • Access to the skill's references/input-schema.md.

Make sure apify-actor-development is installed in your agent before trying this task.

Use apify-actor-development to inspect this existing Actor's source and create or update .actor/input_schema.json. Include every input field the code reads, with a title, description, type, and default or prefill, then validate the schema locally.