fastplaywright
High-performance browser automation with Fast Playwright MCP. Features token-optimized batch execution, intelligent element selection with fallback, diff detection for change tracking, and comprehensive diagnostics. Use for web testing, form automation, screenshots, navigation flows, and any browser-based task requiring efficient token usage.
Why use this skill?
Optimize web automation with Fast Playwright MCP. Reduce token usage by 90% with batch execution, diff detection, and intelligent element selection.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/frankausberlin/fastplaywrightWhat This Skill Does
The fastplaywright skill provides a high-performance, token-efficient browser automation interface for OpenClaw. Powered by the @tontoko/fast-playwright-mcp server, it is designed to replace standard Playwright implementations by significantly reducing the LLM context overhead during browser tasks. It achieves this through advanced batch execution capabilities, custom expectation parameters to filter out unnecessary response data, and intelligent diff detection that only reports page state changes rather than re-sending full document snapshots. The skill supports a robust element selection system that uses internal identifiers (refs), CSS selectors, ARIA roles, and text matching with automatic fallback mechanisms to ensure high success rates for complex web interactions.
Installation
To integrate this skill into your environment, use the OpenClaw command line interface: clawhub install openclaw/skills/skills/frankausberlin/fastplaywright
Once installed, ensure your configuration file contains the necessary MCP server definition: "mcpServers": { "playwright": { "command": "npx", "args": ["@tontoko/fast-playwright-mcp@latest"] } }
Use Cases
- Automated Regression Testing: Execute multi-step user flows across complex web applications while tracking state changes using diff detection.
- Data Extraction: Scrape specific web elements from legacy or highly dynamic sites using refined selectors and token-optimized snapshot filters.
- Form Automation: Efficiently navigate, interact with, and submit multi-page forms without consuming massive context windows.
- Performance Monitoring: Track layout shifts and DOM changes over time with minimal token consumption.
- Cross-Browser Interaction: Perform tasks that require authenticating sessions and interacting with JavaScript-heavy interfaces that standard scrapers cannot handle.
Example Prompts
- "Navigate to https://example.com, find the login button using the role 'button', click it, and wait for the form to load using batch execution."
- "Extract all news headlines from the main content container on this page, ensuring you use the expectation parameter to exclude snapshots and console messages to keep token usage low."
- "Monitor the stock price container on this page and report any changes to the text content using diff detection, keeping the context minimal."
Tips & Limitations
To maximize performance, always prioritize browser_batch_execute for any sequence involving more than one action to reduce server-client round trips. When debugging, use the ref selectors provided in previous tool outputs for the highest accuracy, as these represent stable element IDs. Be aware that enabling high-resolution snapshots or verbose logging will negate the token savings; use the expectation parameter selectively based on the criticality of the data required. Note that this skill requires a stable internet connection and browser environment compatibility; always check your target site's robots.txt policy before running automated workflows.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-frankausberlin-fastplaywright": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, code-execution