Agent skill · AI & Agents

apify-actor-development

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

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

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

Facts
Files in the skill folder: 8
SKILL.md size: 13 KB
Bundled scripts: none
Path: skills/apify-actor-development/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 Actor Development **Important:** Before you begin, fill in the `generatedBy` property in the meta section of `.actor/actor.json`. Replace it with the tool and model you're currently using, such as "Claude Code with Claude Sonnet 4.5". This helps Apify monitor and improve AGENTS.md for specific AI tools and models. ## When to Use - You need to create, modify, or debug an Apify Actor project. - The task involves choosing an Apify template, wiring actor inputs/outputs, or implementing actor runtime logic. - You need safe setup guidance for `apify` CLI authentication, project bootstrap, or deployment workflow. ## What are Apify Actors? Actors are serverless programs inspired by the UNIX philosophy - programs that do one thing well and can be easily combined to build complex systems. They're packaged as Docker images and run in isolated containers in the cloud. **Core Concepts:** - Accept well-defined JSON input - Perform isolated tasks (web scraping, automation, data processing) - Produce structured JSON output to datasets and/or store data in key-value stores - Can run from seconds to hours or even indefinitely - Persist state and can be restarted ## Prerequisites & Setup (MAN

What's inside
Steps it walks through
  1. When to Use
  2. What are Apify Actors?
  3. Prerequisites & Setup (MANDATORY)
  4. Template Selection
  5. Quick Start Workflow
  6. Security
  7. Best Practices
  8. Logging
  9. Commands
  10. Local Testing
  11. Standby Mode
  12. Project Structure
  13. Actor Configuration
  14. Input Schema
Ships with 7 files
  • references/actor-json.md
  • references/dataset-schema.md
  • references/input-schema.md
  • references/key-value-store-schema.md
  • references/logging.md
  • references/output-schema.md
  • references/standby-mode.md
Commands it runs
npm install -g apify-cli
Or (Mac): brew install apify-cli
apify info  # Should return your username
Option 1 (preferred): The CLI automatically reads APIFY_TOKEN from the environment.
Just ensure the env var is exported and run any apify command — no explicit login needed.
Option 2: Interactive login (prompts for token without exposing it in shell history)
apify login
apify run          # Run Actor locally
apify login        # Authenticate account
apify push         # Deploy to Apify platform (uses name from .actor/actor.json)
More from agentic-awesome-skills
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About this skill
What does the apify-actor-development skill do?

Important: Before you begin, fill in the generatedBy property in the meta section of .actor/actor.json. Replace it with the tool and model you're currently using, such as \"Claude Code with Claude Sonnet 4.5\". This helps Apify monitor and improve AGENTS.md for specific AI tools and models.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill apify-actor-development --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.

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