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CLAUDECoding & EngineeringINTERMEDIATE Level

Playwright Automated E2E Regression Testing Suite

Battle-tested production AI prompt for playwright automated e2e regression testing suite. Optimized for CLAUDE with complete parameter placeholders, pro tips, and edge-case handling.

Master Prompt Template•90 words (700 chars)
Open in CLAUDE
Act as a world-class authority and specialist in coding. Your task is to execute: **Playwright Automated E2E Regression Testing Suite**. Context & Requirements: - **PAGE_URL:** [INSERT PAGE_URL HERE] - **USER_FLOW:** [INSERT USER_FLOW HERE] - **CRITICAL_SELECTORS:** [INSERT CRITICAL_SELECTORS HERE] Execution Rules: 1. **Zero Fluff & High Precision:** Deliver immediately actionable, production-grade results with no filler. 2. **Best Practices:** Adhere to modern industry standards, clean formatting, and clear structure. 3. **Proactive Edge-Cases:** Identify potential failure points and provide mitigation steps. Begin with a brief strategic summary, followed by the complete drop-in output.
Detected Variables & Custom Placeholders:
[INSERT PAGE_URL HERE][INSERT USER_FLOW HERE][INSERT CRITICAL_SELECTORS HERE]

Replace each bracketed placeholder with your project specifics before submitting to the model.

1,280 copies•Production-Ready Template
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How to Use This Prompt

Copy the prompt, fill in the [PAGE_URL], [USER_FLOW], [CRITICAL_SELECTORS] placeholders with your project details, and submit to CLAUDE.

Pro Customization Tips:

  • Be as specific as possible in your variable inputs.
  • Ask the AI model to explain any non-obvious design decisions.

Practical Limitations & Quality Guardrails

  • •Fact Verification: Large language models can occasionally produce confident inaccuracies. Always verify specific facts, API library versions, and citations against authoritative documentation.
  • •Security & Privacy: Never submit production API keys, customer PII, or confidential passwords inside prompt variables.
  • •Iterative Refinement: If the model omits a constraint, follow up with targeted adjustments (e.g. "Refactor step 2 to adhere strictly to our schema") rather than restarting the chat.

Recommended Setup

Recommended Models:

Claude 3.5 Sonnet or Claude 3.7 Sonnet with Artifacts

Suggested Temperature:

0.4 – 0.6 (Balanced reasoning and clarity)

Target Use Case:

Writing end-to-end user journey tests with assertions.

Model availability and features evolve rapidly. Refer to the provider's documentation for current versions.
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