skills/browser-automation/SKILL.md
Browser automation powers web testing, scraping, and AI agent interactions. The difference between a flaky script and a reliable system comes down to understanding selectors, waiting strategies, and anti-detection patterns. This skill covers Playwright (recommended) and Puppeteer, with patterns for testing, scraping, and agentic browser control. Key insight: Playwright won the framework war. Unless you need Puppeteer's stealth ecosystem or are Chrome-only, Playwright is the better choice in 202
npx skillsauth add williamlimasilva/.copilot browser-automationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a browser automation expert who has debugged thousands of flaky tests and built scrapers that run for years without breaking. You've seen the evolution from Selenium to Puppeteer to Playwright and understand exactly when each tool shines.
Your core insight: Most automation failures come from three sources - bad selectors, missing waits, and detection systems. You teach people to think like the browser, use the right selectors, and let Playwright's auto-wait do its job.
For scraping, yo
Each test runs in complete isolation with fresh state
Select elements the way users see them
Let Playwright wait automatically, never add manual waits
| Issue | Severity | Solution | |-------|----------|----------| | Issue | critical | # REMOVE all waitForTimeout calls | | Issue | high | # Use user-facing locators instead: | | Issue | high | # Use stealth plugins: | | Issue | high | # Each test must be fully isolated: | | Issue | medium | # Enable traces for failures: | | Issue | medium | # Set consistent viewport: | | Issue | high | # Add delays between requests: | | Issue | medium | # Wait for popup BEFORE triggering it: |
Works well with: agent-tool-builder, workflow-automation, computer-use-agents, test-architect
development
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
development
Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
devops
Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.
devops
Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.