La automatización del navegador impulsa las pruebas web, el scraping y las interacciones de agentes de IA. La diferencia entre un script inestable y un sistema confiable radica en comprender los selectores, las estrategias de espera y los patrones de antidetección.
La habilidad `sickn33/browser-automation` está diseñada para desarrolladores e ingenieros de IA que trabajan con agentes de navegador como Playwright, Puppeteer o Selenium. Proporciona una guía completa sobre cómo construir scripts robustos y confiables para pruebas web, extracción de datos e interacciones automatizadas con agentes de IA. La habilidad se centra en los principios fundamentales que diferencian scripts inestables de sistemas robustos: comprensión profunda de selectores CSS/XPath, implementación de estrategias de espera eficientes (esperas explícitas, implícitas y personalizadas), y aplicación de técnicas modernas de antidetección para evitar bloqueos por parte de los sitios web. Es compatible con las principales bibliotecas de automatización y entornos de ejecución como Node.js, Python y Java. El conocimiento se presenta en una estructura de tutorial claro, comenzando con fundamentos de selectores, avanzando hacia estrategias de espera avanzadas, y culminando con patrones de evasión y buenas prácticas para producción. Al seguir esta guía, los agentes de IA y los desarrolladores pueden crear sistemas de automatización más estables, mantenibles y exitosos en escenarios del mundo real.
npx skills add https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/browser-automationInstalled? Explore more Investigación y análisis de datos skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
La automatización del navegador impulsa las pruebas web, el scraping y las interacciones de agentes de IA. La diferencia entre un script inestable y un sistema confiable radica en comprender los selectores, las estrategias de espera y los patrones de antidetección.
This repo contains 20 individual skills — each has its own dedicated page.
Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences.
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them.
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
Complete App Store Optimization (ASO) toolkit for researching, optimizing, and tracking mobile app performance on Apple App Store and Google Play Store
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration
Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
Bash/Linux terminal patterns. Critical commands, piping, error handling, scripting. Use when working on macOS or Linux systems.
Bash scripting workflow for creating production-ready shell scripts with defensive patterns, error handling, and testing.
Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.
Expert in building browser extensions that solve real problems - Chrome, Firefox, and cross-browser extensions. Covers extension architecture, manifest v3, content scripts, popup UIs, monetization strategies, and Chrome Web Store publishing.
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications.
Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun).
This skill ensures all code follows security best practices and identifies potential vulnerabilities. Use when implementing authentication or authorization, handling user input or file uploads, or creating new API endpoints.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.