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Agent Skill

Apify Actorization skill

apify-actorizationapify/agent-skillsskills/apify-actorization/SKILL.md

Convert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.

2.5k

always on

69 tokname + description

once used

2,836 tokSKILL.md body

bundled files

411 KB

repo stars

2.5kGitHub

Install the Apify Actorization skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/apify/agent-skills --skill apify-actorization

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/apify/agent-skills.git /tmp/agent-skills
mkdir -p ~/.claude/skills
cp -R /tmp/agent-skills/skills/apify-actorization ~/.claude/skills/apify-actorization

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

WhenWhat loadsCost
Every sessionName and description69 tok
When the agent uses itThe SKILL.md instructions2,836 tok
Only if opened4 bundled files (11 KB)varies

Until it is used, apify-actorization costs about 20× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 5 skills from apify/agent-skills would load 372 tokens of descriptions. Skills vs MCP study

Checks

  • Tells the agent to pipe a download into a shell (curl … | sh). That runs whatever the URL serves at that moment, with your permissions.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

  • Apify Actorization
  • Quick start
  • When to use this skill
  • Prerequisites
  • Telemetry attribution (required)
  • Actorization checklist
  • Step 1: Analyze the project
  • Step 2: Initialize Actor structure
  • Step 3: Apply language-specific changes
  • Quick reference
  • Steps 4-6: Configure schemas
  • Step 7: Write README
  • Step 8: Test locally
  • Step 9: Deploy
  • Monetization (optional)
  • Security
  • Pre-deployment checklist
  • MCP tools
  • Apify MCP
  • Playwright MCP (debugging)
  • Resources

More skills from apify/agent-skills

All skills in this repo
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    Create, modify, debug, and deploy Apify Actors, and write their input and output schemas. Use when building an Actor from scratch, changing or troubleshooting Actor code, generating or updating .actor schema files, or pushing an Actor to the Apify platform. To wrap an existing non-Actor project, use apify-actorization instead.

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  2. Deprecated. Output schema generation moved to the apify-actor-development skill; prefer that skill whenever it is available.

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  3. Design and build an official Apify integration for a company's product - workflow-automation apps (Zapier/n8n-style), AI agent plugins (coding-agent skills+MCP bundles or OpenClaw/Hermes-style harnesses), AI framework packages (LangChain/LlamaIndex-style), or direct application clients via apify-client. Use when planning, creating, or reviewing an integration that exposes Apify Actors, runs, datasets, or key-value stores inside another product.

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    Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.

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