Agent skills for VS Code

This skill automates web browsers via Playwright CLI in headless mode.

Use when debugging a visual bug, layout issue, CSS problem, rendering issue, broken UI, page-looks-wrong report, or any browser-visible…

Performs automated end-to-end testing and browser verification using the Playwright CLI.

Creates Playwright test scripts from natural language user flow descriptions.

Build browser automation and web scraping with Playwright on your local machine.

Enables automated browser interactions, visual testing, and bug reproduction using the Playwright Model Context Protocol.

Browser automation via Playwright MCP through mcporter.

Use when adding or extending real mobile-device coverage to a Playwright suite — touch/tap specs, Pixel or iPhone device descriptors…

Orchestrates a team of seven specialized AI agents to perform comprehensive web audits, functional testing, and social media preview…

Create maintainable and reusable Page Object Models (POMs) for Playwright tests.

Provides comprehensive command references and control interfaces for browser automation using the Playwright MCP server.

Playwright selector strategies and patterns

Browser automation for web projects using playwright-cli

Browser automation with Playwright for Python.

Inspect Playwright trace files from the command line — list actions, view requests, console, errors, snapshots and screenshots.

Use for web feature validation via Playwright MCP — real browser interactions, cross-browser support (Chromium/Firefox/WebKit), screenshot…

Use when packaging a PLDI artifact for the post-acceptance evaluation — earning the Functional, Reusable, and Available badges, archiving…

Use when turning an accepted PLDI paper into its PACMPL Issue PLDI article — de-anonymization, acmsmall journal formatting, ACM rights and…

Use when designing or auditing a PLDI evaluation — choosing defensible benchmark suites and baseline compiler configurations, measuring…

Use when positioning a PLDI paper against the SIGPLAN family and systems neighbors — stating technical deltas per cited line, covering the…

Use when interpreting PLDI's review pipeline — double-blind HotCRP reviewing by a PL-implementor PC, the February author-response window…