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.
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.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- When to Use
- What are Apify Actors?
- Prerequisites & Setup (MANDATORY)
- Template Selection
- Quick Start Workflow
- Security
- Best Practices
- Logging
- Commands
- Local Testing
- Standby Mode
- Project Structure
- Actor Configuration
- Input Schema
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)
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.