browser-automation 是做什么的？
浏览器自动化驱动Web测试、数据抓取和AI代理交互。稳固的系统与脆弱的脚本之间的区别，在于理解选择器、等待策略和反检测模式。
浏览器自动化驱动Web测试、数据抓取和AI代理交互。稳固的系统与脆弱的脚本之间的区别，在于理解选择器、等待策略和反检测模式。
sickn33/browser-automation 是一项专注于浏览器自动化的技能，旨在帮助开发者构建稳定可靠的自动化系统。该技能涵盖了Web测试、数据抓取以及AI代理交互等核心场景，强调选择器编写、等待策略和反检测模式的关键性。它提供了详细的指南和最佳实践，帮助开发者避免常见的脚本脆弱性问题，例如元素定位失败、同步问题或被目标网站检测。该技能适用于多种自动化平台，包括Puppeteer、Playwright、Selenium等，并深入解释了如何通过智能等待、CSS/XPath选择器优化以及浏览器指纹伪装来提升自动化脚本的鲁棒性。通过掌握这些模式，开发者可以显著提高自动化任务的成功率和安全性。
npx skills add https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/browser-automationInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
浏览器自动化驱动Web测试、数据抓取和AI代理交互。稳固的系统与脆弱的脚本之间的区别，在于理解选择器、等待策略和反检测模式。
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.