发现优质的 AI Agent 技能
聚合 Claude Skills、LangChain、AutoGPT 等优质资源,助力开发者快速构建智能应用
Input Schema Reference
The input schema defines the input parameters for an Actor. It's a JSON object comprising various field types supported by the Apify platform.
Dataset Schema Reference
The dataset schema defines how your Actor's output data is structured, transformed, and displayed in the Output tab in the Apify Console.
Actor Configuration (actor.json)
The `.actor/actor.json` file contains the Actor's configuration including metadata, schema references, and platform settings.
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.
API Mocking Implementation Playbook
This file contains detailed patterns, checklists, and code samples referenced by the skill.
API Security Testing Workflow
来自 sickn33/antigravity-awesome-skills 技能
Versioning Strategies
> Plan for API evolution from day one.
tRPC Principles
> End-to-end type safety for TypeScript monorepos.
API Security Testing
> Principles for testing API security. OWASP API Top 10, authentication, authorization testing.
REST Principles
> Resource-based API design - nouns not verbs.
Response Format Principles
> Consistency is key - choose a format and stick to it.
Rate Limiting Principles
> Protect your API from abuse and overload.