apify-actorization
A framework for transforming existing software into reusable, serverless Apify Actors. Provides tools to wrap code into Docker-based containers with standardized JSON input/output schemas.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
321 skills found
A framework for transforming existing software into reusable, serverless Apify Actors. Provides tools to wrap code into Docker-based containers with standardized JSON input/output schemas.
API security guardrail enforcing OWASP Top 10, authentication, input validation, and XSS prevention for secure backend development.
Generate comprehensive, accurate API documentation, OpenAPI/Swagger specs, and SDK integration guides directly from your source code.
Analyze and bypass software protection mechanisms, anti-debugging, and obfuscation techniques during authorized security research, malware analysis, or CTF activities.
Integrate Claude AI into your applications with the Anthropic SDK. Supports Messages API, streaming, tool use (function calling), vision, extended thinking, and system prompts.
Expert technical guidance for building production-ready applications with Anthropic's Claude API, covering Messages API, tool use, streaming, vision, and prompt engineering.
Cross-agent interaction skill via ANP protocol. Use decentralized identity (DID) to discover and invoke remote agents like maps, booking, and logistics services across the ANP network.
Build autonomous, multi-step AI agents using Pydantic AI (Python) and Claude Agent SDK (Node.js/TypeScript).
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Guideline for extending the Agent V4 system by registering custom tools in the ToolRegistry for automated execution.
Implement function-calling tools in Prompture agents using ToolRegistry, decorators, and automatic schema generation to enable LLM interaction with external code.
Analyze A/B test results with statistical rigor. Includes significance testing, sample size validation, guardrail monitoring, and actionable recommendations (ship/extend/stop) using Python scripts.