tdd:fix-tests

neolabhq/context-engineering-kit · updated Apr 8, 2026

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$npx skills add https://github.com/neolabhq/context-engineering-kit --skill tdd:fix-tests
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summary

User can provide to focus on specific tests or modules:

skill.md

Fix Tests

User Arguments

User can provide to focus on specific tests or modules:

$ARGUMENTS

If nothing is provided, focus on all tests.

Context

After business logic changes, refactoring, or dependency updates, tests may fail because they no longer match the current behavior or implementation. This command orchestrates automated fixing of all failing tests using specialized agents.

Goal

Fix all failing tests to match current business logic and implementation.

Important Constraints

  • Focus on fixing tests - avoid changing business logic unless absolutely necessary
  • Preserve test intent - ensure tests still validate the expected behavior
  • "Analyse complexity of changes" -
    • if there 2 or more changed files, or one file with complex logic, then Do not write tests yourself - only orchestrate agents!
    • if there is only one changed file, and it's a simple change, then you can write tests yourself.

Workflow Steps

Preparation

  1. Read sadd skill if available

    • If available, read the sadd skill to understand best practices for managing agents
  2. Discover test infrastructure

    • Read @README.md and package.json (or equivalent project config)
    • Identify commands to run tests and coverage reports
    • Understand project structure and testing conventions
  3. Run all tests

    • Execute full test suite to establish baseline
  4. Identify all failing test files

    • Parse test output to get list of failing test files
    • Group by file for parallel agent execution

Analysis

  1. Verify single test execution
    • Choose any test file
    • Launch haiku agent with instructions to find proper command to run this only test file
      • Ask him to iterate until you can reliably run individual tests
    • After he complete try running a specific test file if it exists
    • This ensures agents can run tests in isolation

Test Fixing

  1. Launch developer agents (parallel)

    • Launch one agent per failing test file
    • Provide each agent with clear instructions:
      • Context: Why this test needs fixing (business logic changed)
      • Target: Which specific file to fix
      • Guidance: Read TDD skill (if available) for best practices how to write tests.
      • Resources: Read README and relevant documentation
      • Command: How to run this specific test file
      • Goal: Iterate until test passes
      • Constraint: Fix test, not business logic (unless clearly broken)
  2. Verify all fixes

    • After all agents complete, run full test suite again
    • Verify all tests pass
  3. Iterate if needed

    • If any tests still fail: Return to step 5
    • Launch new agents only for remaining failures
    • Continue until 100% pass rate

Success Criteria

  • All tests pass ✅
  • Test coverage maintained
  • Test intent preserved
  • Business logic unchanged (unless bugs found)

Agent Instructions Template

When launching agents, use this template:

The business logic has changed and test file {FILE_PATH} is now failing.

Your task:
1. Read the test file and understand what it's testing
2. Read TDD skill (if available) for best practices on writing tests.
3. Read @README.md for project context
4. Run the test: {TEST_COMMAND}
5. Analyze the failure - is it:
   - Test expectations outdated? → Fix test assertions
   - Test setup broken? → Fix test setup/mocks
   - Business logic bug? → Fix logic (rare case)
6. Fix the test and verify it passes
7. Iterate until test passes
how to use tdd:fix-tests

How to use tdd:fix-tests 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 tdd:fix-tests
2

Execute installation command

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

$npx skills add https://github.com/neolabhq/context-engineering-kit --skill tdd:fix-tests

The skills CLI fetches tdd:fix-tests from GitHub repository neolabhq/context-engineering-kit 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/tdd:fix-tests

Reload or restart Cursor to activate tdd:fix-tests. Access the skill through slash commands (e.g., /tdd:fix-tests) 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

4.650 reviews
  • Isabella Mensah· Dec 12, 2024

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

  • Diya Khanna· Dec 8, 2024

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

  • Nia Khanna· Dec 4, 2024

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

  • Diya Shah· Nov 27, 2024

    Useful defaults in tdd:fix-tests — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Nov 19, 2024

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

  • Maya Zhang· Nov 7, 2024

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

  • Isabella White· Nov 3, 2024

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

  • Diya Malhotra· Oct 26, 2024

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

  • Isabella Perez· Oct 18, 2024

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

  • Kofi Park· Oct 18, 2024

    Registry listing for tdd:fix-tests matched our evaluation — installs cleanly and behaves as described in the markdown.

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