TestDino Playwright Skill: AI-powered guides for Playwright best practices, made by testdino.com.
testdino-hq/playwright-skill की मुख्य विशेषताएं हैं: AI and Agents, Development And Code।
testdino-hq/playwright-skill के ओपन-सोर्स विकल्पों में शामिल हैं: 567-labs/instructor — Instructor is a framework designed for structured data extraction, validation, and language model integration. It… 8144225309/superscalar-mcp — MCP server for SuperScalar — Bitcoin Lightning channel factories. Query protocol specs, estimate UTXO savings, and… ag2ai/ag2 — AG2 is a multi-agent large language model orchestration framework, agentic workflow automation tool, and RAG-enabled… agent-cards/skill — Claude Code skill for managing Agent Cards virtual Visa cards via MCP tools. agentsmd/agents.md — Agents.md is a configuration framework designed to standardize how AI coding assistants interact with a repository. It… 1nickpappas/move-code-quality-skill — Claude Code skill for analyzing Move packages against the official Move Book Code Quality Checklist.
Instructor is a framework designed for structured data extraction, validation, and language model integration. It functions as a library that transforms unstructured text into validated, type-safe objects by leveraging schema definitions and model-specific tool-calling capabilities. By acting as a validation middleware, the project ensures that language model outputs strictly conform to defined data structures. The library distinguishes itself through a robust validation-based retry loop that automatically re-submits failed responses with error feedback to iteratively correct schema complianc
MCP server for SuperScalar — Bitcoin Lightning channel factories. Query protocol specs, estimate UTXO savings, and explore factory architectures.
AG2 is a multi-agent large language model orchestration framework, agentic workflow automation tool, and RAG-enabled agent platform. It functions as a communication protocol and framework for coordinating multiple AI agents to solve complex tasks through shared state and standardized messaging. The project distinguishes itself through flexible coordination strategies, including hierarchical agent organization, hub-and-spoke models, and dynamic routing that analyzes conversation context to distribute work. It implements multi-stage feedback loops for iterative refinement and uses schema-constr
Claude Code skill for analyzing Move packages against the official Move Book Code Quality Checklist