Agent skill · DevOps & Cloud

apify-actorization

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill apify-actorization --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 5
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/apify-actorization/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Apify Actorization Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output. ## Quick Start 1. Run `apify init` in project root 2. Wrap code with SDK lifecycle (see language-specific section below) 3. Configure `.actor/input_schema.json` 4. Test with `apify run --input '{"key": "value"}'` 5. Deploy with `apify push` ## When to Use This Skill - Converting an existing project to run on Apify platform - Adding Apify SDK integration to a project - Wrapping a CLI tool or script as an Actor - Migrating a Crawlee project to Apify ## Prerequisites Verify `apify` CLI is installed: ```bash apify --help ``` If not installed: ```bash brew install apify-cli # Or: npm install -g apify-cli # Or install from an official release package that your OS package manager verifies ``` Verify CLI is logged in: ```bash apify info # Should return your username ``` If not logged in, check if `APIFY_TOKEN` environment variable is defined. If not, ask the user to generate one at https://console.apify.com/set

What's inside
Steps it walks through
  1. Quick Start
  2. When to Use This Skill
  3. Prerequisites
  4. Actorization Checklist
  5. Step 1: Analyze the Project
  6. Step 2: Initialize Actor Structure
  7. Step 3: Apply Language-Specific Changes
  8. Quick Reference
  9. Steps 4-6: Configure Schemas
  10. Step 7: Test Locally
  11. Step 8: Deploy
  12. Monetization (Optional)
  13. Pre-Deployment Checklist
  14. Apify MCP Tools
Ships with 4 files
  • references/cli-actorization.md
  • references/js-ts-actorization.md
  • references/python-actorization.md
  • references/schemas-and-output.md
Commands it runs
apify --help
brew install apify-cli
Or install from an official release package that your OS package manager verifies
apify info  # Should return your username
apify login
apify init
apify run --input '{"startUrl": "https://example.com", "maxItems": 10}'
apify run --input-file ./test-input.json
apify push
More from agentic-awesome-skills
All skills →
About this skill
What does the apify-actorization skill do?

Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill apify-actorization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going