fix

alirezarezvani/claude-skills · updated Apr 8, 2026

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$npx skills add https://github.com/alirezarezvani/claude-skills --skill fix
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summary

Diagnose and fix a Playwright test that fails or passes intermittently using a systematic taxonomy.

skill.md

Fix Failing or Flaky Tests

Diagnose and fix a Playwright test that fails or passes intermittently using a systematic taxonomy.

Input

$ARGUMENTS contains:

  • A test file path: e2e/login.spec.ts
  • A test name: ""should redirect after login"`
  • A description: "the checkout test fails in CI but passes locally"

Steps

1. Reproduce the Failure

Run the test to capture the error:

npx playwright test <file> --reporter=list

If the test passes, it's likely flaky. Run burn-in:

npx playwright test <file> --repeat-each=10 --reporter=list

If it still passes, try with parallel workers:

npx playwright test --fully-parallel --workers=4 --repeat-each=5

2. Capture Trace

Run with full tracing:

npx playwright test <file> --trace=on --retries=0

Read the trace output. Use /debug to analyze trace files if available.

3. Categorize the Failure

Load flaky-taxonomy.md from this skill directory.

Every failing test falls into one of four categories:

Category Symptom Diagnosis
Timing/Async Fails intermittently everywhere --repeat-each=20 reproduces locally
Test Isolation Fails in suite, passes alone --workers=1 --grep "test name" passes
Environment Fails in CI, passes locally Compare CI vs local screenshots/traces
Infrastructure Random, no pattern Error references browser internals

4. Apply Targeted Fix

Timing/Async:

  • Replace waitForTimeout() with web-first assertions
  • Add await to missing Playwright calls
  • Wait for specific network responses before asserting
  • Use toBeVisible() before interacting with elements

Test Isolation:

  • Remove shared mutable state between tests
  • Create test data per-test via API or fixtures
  • Use unique identifiers (timestamps, random strings) for test data
  • Check for database state leaks

Environment:

  • Match viewport sizes between local and CI
  • Account for font rendering differences in screenshots
  • Use docker locally to match CI environment
  • Check for timezone-dependent assertions

Infrastructure:

  • Increase timeout for slow CI runners
  • Add retries in CI config (retries: 2)
  • Check for browser OOM (reduce parallel workers)
  • Ensure browser dependencies are installed

5. Verify the Fix

Run the test 10 times to confirm stability:

npx playwright test <file> --repeat-each=10 --reporter=list

All 10 must pass. If any fail, go back to step 3.

6. Prevent Recurrence

Suggest:

  • Add to CI with retries: 2 if not already
  • Enable trace: 'on-first-retry' in config
  • Add the fix pattern to project's test conventions doc

Output

  • Root cause category and specific issue
  • The fix applied (with diff)
  • Verification result (10/10 passes)
  • Prevention recommendation
how to use fix

How to use fix on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add fix
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/alirezarezvani/claude-skills --skill fix

The skills CLI fetches fix from GitHub repository alirezarezvani/claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/fix

Reload or restart Cursor to activate fix. Access the skill through slash commands (e.g., /fix) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.855 reviews
  • Shikha Mishra· Dec 24, 2024

    fix has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Noor Gupta· Dec 24, 2024

    fix has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Jin Ramirez· Dec 16, 2024

    fix fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dev Kapoor· Dec 12, 2024

    fix is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Rahul Santra· Nov 15, 2024

    fix reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Anaya Torres· Nov 15, 2024

    fix reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Arya Mehta· Nov 7, 2024

    We added fix from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Noor Kapoor· Nov 3, 2024

    Keeps context tight: fix is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Arya Jain· Oct 26, 2024

    fix reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Arya Ramirez· Oct 22, 2024

    I recommend fix for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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