
validate-issue
by resolve-io
An AI-assisted software engineering methodology that refracts development complexity into clear, actionable principles through coordinated AI agents. Combines proven methodologies (PSP/TSP, TDD/XP, Clean Code, DDD) into a unified framework for predictable, resilient, intentional, sustainable, and maintainable software development.
SKILL.md
name: validate-issue description: Use to validate reported issues. Confirms reproducibility and documents validation evidence.
validate-issue
Validate customer-reported issues using Playwright-MCP to reproduce and document the problem with evidence.
When to Use
- When customer reports a bug or issue
- When issue needs reproduction for confirmation
- When documenting evidence for development team
- As first step in issue triage process
Quick Start
- Gather issue details from customer report
- Initialize Playwright session with application URL
- Reproduce customer steps with screenshots
- Capture evidence (screenshots, console, network)
- Document validation result (confirmed/not-reproducible)
Purpose
Use automated browser testing to reproduce exactly what the customer experienced, capture evidence, and confirm if the issue is real and reproducible.
SEQUENTIAL Task Execution
1. Gather Issue Details
- Customer description of the problem
- Steps to reproduce provided by customer
- Environment details (browser, device, account)
- Expected vs actual behavior
- Any error messages reported
2. Initialize Playwright Session
playwright_setup:
- Use mcp__playwright-mcp__init-browser with the application URL
- Navigate to the affected page/feature
- Set up appropriate viewport for device type (mobile/desktop)
- Clear cookies/storage if needed for clean state
3. Reproduce Customer Steps
Execute each step the customer reported:
reproduction_steps:
- action: Navigate to specific page
playwright: mcp__playwright-mcp__execute-code
capture: screenshot before action
- action: Perform user interactions (click, type, submit)
playwright: mcp__playwright-mcp__execute-code
capture: screenshot after each action
- action: Wait for expected results
playwright: Check for errors in console
capture: final state screenshot
4. Capture Evidence
evidence_collection:
screenshots:
- Initial state
- Each interaction step
- Error state (if reproduced)
- Console errors: mcp__playwright-mcp__execute-code to get console.log
network:
- Failed API calls
- Response status codes
- Timing issues
state:
- DOM state at failure point
- JavaScript variable values
- Local storage/session data
5. Validation Report
validation_result:
reproducible: true/false
severity: P0/P1/P2/P3
reproduction_details:
steps_taken: [exact Playwright commands used]
success_rate: "3/3 attempts reproduced issue"
environment:
browser: "Chrome 120"
viewport: "1920x1080"
account_type: "trial/paid/admin"
evidence:
screenshots: [list of captured images]
console_errors: [any JavaScript errors]
network_failures: [failed requests]
impact_assessment:
affected_users: "All users on checkout flow"
business_impact: "Blocking purchases"
workaround_available: "Yes/No - describe if yes"
Example Playwright Validation Script
// Example validation using mcp__playwright-mcp__execute-code
async function run(page) {
// Navigate to the problem area
await page.goto('/checkout');
// Capture initial state
const initialScreenshot = await page.screenshot();
// Reproduce customer actions
await page.fill('#email', 'customer@example.com');
await page.fill('#card-number', '4242424242424242');
// Check for the reported issue
const submitButton = await page.locator('#submit-payment');
await submitButton.click();
// Wait and check for infinite spinner (customer's complaint)
await page.waitForTimeout(5000);
const spinnerStillVisible = await page.locator('.spinner').isVisible();
// Capture console errors
const consoleLogs = [];
page.on('console', msg => consoleLogs.push(msg.text()));
// Return validation result
return {
reproduced: spinnerStillVisible,
errors: consoleLogs,
finalState: await page.screenshot()
};
}
Success Criteria
- Issue reproduction attempted with Playwright
- Evidence captured (screenshots, logs)
- Clear reproducible/not-reproducible determination
- Root cause hypothesis if reproduced
- Impact assessment completed
Output
- Validation report with reproduction status
- Evidence package (screenshots, errors)
- Recommendation for next steps (investigate, create test, escalate)
Score
Total Score
Based on repository quality metrics
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