testrail

alirezarezvani/claude-skills · updated May 21, 2026

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

Bidirectional sync between Playwright tests and TestRail test management.

skill.md

TestRail Integration

Bidirectional sync between Playwright tests and TestRail test management.

Prerequisites

Environment variables must be set:

  • TESTRAIL_URL — e.g., https://your-instance.testrail.io
  • TESTRAIL_USER — your email
  • TESTRAIL_API_KEY — API key from TestRail

If not set, inform the user how to configure them and stop.

Capabilities

1. Import Test Cases → Generate Playwright Tests

/pw:testrail import --project <id> --suite <id>

Steps:

  1. Call testrail_get_cases MCP tool to fetch test cases
  2. For each test case:
    • Read title, preconditions, steps, expected results
    • Map to a Playwright test using appropriate template
    • Include TestRail case ID as test annotation: test.info().annotations.push({ type: 'testrail', description: 'C12345' })
  3. Generate test files grouped by section
  4. Report: X cases imported, Y tests generated

2. Push Test Results → TestRail

/pw:testrail push --run <id>

Steps:

  1. Run Playwright tests with JSON reporter:
    npx playwright test --reporter=json > test-results.json
    
  2. Parse results: map each test to its TestRail case ID (from annotations)
  3. Call testrail_add_result MCP tool for each test:
    • Pass → status_id: 1
    • Fail → status_id: 5, include error message
    • Skip → status_id: 2
  4. Report: X results pushed, Y passed, Z failed

3. Create Test Run

/pw:testrail run --project <id> --name "Sprint 42 Regression"

Steps:

  1. Call testrail_add_run MCP tool
  2. Include all test case IDs found in Playwright test annotations
  3. Return run ID for result pushing

4. Sync Status

/pw:testrail status --project <id>

Steps:

  1. Fetch test cases from TestRail
  2. Scan local Playwright tests for TestRail annotations
  3. Report coverage:
    TestRail cases: 150
    Playwright tests with TestRail IDs: 120
    Unlinked TestRail cases: 30
    Playwright tests without TestRail IDs: 15
    

5. Update Test Cases in TestRail

/pw:testrail update --case <id>

Steps:

  1. Read the Playwright test for this case ID
  2. Extract steps and expected results from test code
  3. Call testrail_update_case MCP tool to update steps

MCP Tools Used

Tool When
testrail_get_projects List available projects
testrail_get_suites List suites in project
testrail_get_cases Read test cases
testrail_add_case Create new test case
testrail_update_case Update existing case
testrail_add_run Create test run
testrail_add_result Push individual result
testrail_get_results Read historical results

Test Annotation Format

All Playwright tests linked to TestRail include:

test('should login successfully', async ({ page }) => {
  test.info().annotations.push({
    type: 'testrail',
    description: 'C12345',
  });
  // ... test code
});

This annotation is the bridge between Playwright and TestRail.

Output

  • Operation summary with counts
  • Any errors or unmatched cases
  • Link to TestRail run/results
how to use testrail

How to use testrail 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 testrail
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 testrail

The skills CLI fetches testrail 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/testrail

Reload or restart Cursor to activate testrail. Access the skill through slash commands (e.g., /testrail) 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

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.870 reviews
  • Neel Yang· Dec 28, 2024

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

  • Chaitanya Patil· Dec 24, 2024

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

  • Layla Flores· Dec 24, 2024

    Registry listing for testrail matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Aisha Garcia· Dec 12, 2024

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

  • Evelyn Reddy· Dec 8, 2024

    Solid pick for teams standardizing on skills: testrail is focused, and the summary matches what you get after install.

  • Evelyn Khan· Dec 8, 2024

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

  • Yusuf Mensah· Dec 4, 2024

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

  • Yusuf Flores· Nov 27, 2024

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

  • Rahul Santra· Nov 23, 2024

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

  • Aisha Thomas· Nov 23, 2024

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

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