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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
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.
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.