cloudflare-browser-rendering
Guide for implementing Cloudflare Browser Rendering - a headless browser automation API for screenshots, PDFs, web scraping, and testing. Use when automating browsers, taking screenshots, generating PDFs, scraping dynamic content, extracting structured data, or testing web applications. Supports REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation. (project)
82
Quality
82%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that hits all the key criteria. It provides specific capabilities, includes a comprehensive 'Use when...' clause with natural trigger terms, uses proper third-person voice, and is clearly distinguishable from other skills through its focus on Cloudflare's specific browser rendering product and associated technologies.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'screenshots, PDFs, web scraping, and testing', 'automating browsers', 'scraping dynamic content', 'extracting structured data'. Also specifies implementation methods: 'REST API, Workers Bindings (Puppeteer/Playwright), MCP servers, and AI-powered automation'. | 3 / 3 |
Completeness | Clearly answers both what ('headless browser automation API for screenshots, PDFs, web scraping, and testing') AND when with explicit 'Use when...' clause listing six specific trigger scenarios. The description fully addresses both dimensions. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'screenshots', 'PDFs', 'web scraping', 'scraping dynamic content', 'testing web applications', 'headless browser', 'Puppeteer', 'Playwright'. These are terms developers naturally use when seeking browser automation help. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with 'Cloudflare Browser Rendering' as a specific product, combined with unique triggers like 'Workers Bindings', 'Puppeteer/Playwright', and the specific combination of browser automation capabilities. Unlikely to conflict with generic document or testing skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
64%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a comprehensive, highly actionable skill with excellent code examples covering multiple integration approaches for Cloudflare Browser Rendering. The main weaknesses are its length (could benefit from splitting advanced topics into separate files) and the lack of explicit validation checkpoints in workflows. The content assumes Claude's competence appropriately in most areas but includes some unnecessary explanatory sections.
Suggestions
Add explicit validation steps to workflows, e.g., 'Verify browser launched successfully before proceeding' or 'Test screenshot output locally before deploying'
Split advanced use cases (Durable Objects, AI scraping, MCP Server) into separate reference files and link from main skill
Remove or condense the 'When to Use This Skill' section - Claude can infer appropriate use cases from the content itself
Add a troubleshooting feedback loop: 'If X error occurs → check Y → fix Z → retry'
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is comprehensive but includes some redundancy (e.g., 'When to Use This Skill' section lists things Claude can infer, deployment checklist repeats earlier content). The extensive code examples are valuable but some explanatory text could be trimmed. | 2 / 3 |
Actionability | Excellent executable code examples throughout - complete TypeScript workers, bash commands, wrangler.toml configurations, and copy-paste ready snippets. Every integration approach includes working code with proper imports and error handling patterns. | 3 / 3 |
Workflow Clarity | The 'Implementation Workflow' section provides a clear sequence, and the 'Deployment Checklist' is helpful. However, validation checkpoints are missing - there's no explicit 'verify this works before proceeding' steps, and error recovery flows are mentioned but not structured as feedback loops. | 2 / 3 |
Progressive Disclosure | Content is well-organized with clear headers and logical sections, but it's monolithic - over 600 lines in a single file. Advanced use cases (Durable Objects, AI scraping, crawlers) could be split into separate reference files. The Resources section links to external docs but no internal file references. | 2 / 3 |
Total | 9 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (688 lines); consider splitting into references/ and linking | Warning |
Total | 10 / 11 Passed | |
- Repository
- einverne/dotfiles
- Commit
b1b2fe0
- Reviewed
Table of Contents
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