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Project Test Loop

  • 64 installs
  • 49 repo stars
  • Updated August 4, 2026
  • laurigates/claude-plugins

Helps with testing & qa tasks.

About

project-test-loop is a Claude Code skill for testing & qa. It helps solo builders move faster with AI-assisted development.

  • project-test-loop
  • Testing & QA
  • AI-coding skill

Project Test Loop by the numbers

  • 64 all-time installs (skills.sh)
  • Ranked #1,140 of 2,153 Testing & QA skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/laurigates/claude-plugins --skill project-test-loop

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Listed on Skillselion
Installs64
repo stars49
Last updatedAugust 4, 2026
Repositorylaurigates/claude-plugins

What it does

Helps with testing & qa tasks.

Files

SKILL.mdMarkdownGitHub ↗

/project:test-loop

When to Use This Skill

Use this skill when...Use project-continue instead when...
Driving a RED -> GREEN -> REFACTOR loop until tests passResuming general project work where tests are not the bottleneck
Iterating on failing tests with auto fix-and-retry behaviorUse project-distill instead when capturing patterns from a finished session
Bounding TDD iterations with --max-cycles to avoid runaway loopsUse project-discovery instead when the test command itself is unknown

Run automated TDD cycle: test → fix → refactor.

Note: Configure project-specific test/build commands in CLAUDE.md or .claude/rules/ for automatic detection.

Steps:

1. Detect test command (if not already configured):

  • Check package.json for scripts.test (Node.js)
  • Check for pytest or python -m unittest (Python)
  • Check for cargo test (Rust)
  • Check for go test ./... (Go)
  • Check Makefile for test target
  • If not found, ask user how to run tests

2. Run test suite:

   # Run detected test command
   [test_command]

3. Analyze results:

If tests FAIL:

  • Parse failure output
  • Identify failing tests:
  • Which tests failed?
  • What assertions failed?
  • What was expected vs actual?
  • Identify root cause:
  • Bug in implementation?
  • Missing implementation?
  • Incorrect test?
  • Make minimal fix:
  • Fix only what's needed to pass the failing test
  • Don't add extra functionality
  • Don't fix tests (fix code instead)
  • Re-run tests to confirm fix
  • Loop back to step 2

If tests PASS:

  • Check for refactoring opportunities:
  • Code duplication?
  • Unclear naming?
  • Long functions?
  • Complex logic that can be simplified?
  • Magic numbers/strings to extract?
  • If refactoring identified:
  • Refactor while keeping tests green
  • Re-run tests after each refactoring
  • Ensure tests still pass
  • If no refactoring needed:
  • Report success
  • Stop loop

4. Repeat until:

  • All tests pass AND
  • No obvious refactoring opportunities

OR stop if:

  • User intervention needed
  • Blocked by external dependency
  • Unclear how to fix failure

5. Report results:

   🧪 Test Loop Results:

   Cycles: [N] iterations

   Fixes Applied:
   - [Fix 1]: [Brief description]
   - [Fix 2]: [Brief description]

   Refactorings Performed:
   - [Refactor 1]: [Brief description]
   - [Refactor 2]: [Brief description]

   Current Status:
   ✅ All tests pass
   ✅ Code refactored
   📝 Ready for commit

   OR

   ⚠️ Blocked: [Reason]
   📝 Next steps: [Recommendation]

TDD Cycle Details:

RED Phase (If starting new feature)

1. Write failing test describing desired behavior 2. Run tests → Should FAIL (expected) 3. This command picks up from here

GREEN Phase (This command handles)

1. Run tests 2. If fail → Make minimal fix 3. Re-run tests → Should PASS 4. Loop until all pass

REFACTOR Phase (This command handles)

1. Tests pass 2. Look for improvements 3. Refactor 4. Re-run tests → Should STILL PASS 5. Loop until no improvements

Common Failure Patterns:

Pattern: Missing Implementation

  • Symptom: undefined is not a function, NameError, etc.
  • Fix: Implement the missing function/class/method
  • Minimal: Just the signature, return dummy value

Pattern: Wrong Return Value

  • Symptom: Expected X but got Y
  • Fix: Update implementation to return correct value
  • Minimal: Don't add extra logic, just fix the return

Pattern: Missing Edge Case

  • Symptom: Test fails for specific input
  • Fix: Handle the edge case
  • Minimal: Add condition for this case only

Pattern: Integration Issue

  • Symptom: Test fails when components interact
  • Fix: Fix the integration point
  • Minimal: Fix just the integration, not entire components

Refactoring Opportunities:

Look for:

  • Duplicated code → Extract to function
  • Magic numbers → Extract to constants
  • Long functions → Break into smaller functions
  • Complex conditionals → Extract to well-named functions
  • Unclear names → Rename to be descriptive
  • Comments explaining code → Refactor code to be self-explanatory

Don't:

  • Change behavior
  • Add new functionality
  • Skip test runs
  • Make tests pass by changing tests

Auto-Stop Conditions:

Stop and report if:

  • All tests pass + no refactoring needed (SUCCESS)
  • Same test fails 3 times in a row (STUCK)
  • Error in test command itself (TEST SETUP ISSUE)
  • External dependency unavailable (BLOCKED)
  • Unclear how to fix (NEEDS USER INPUT)

Loop integrity: this loop's stop condition is the test suite itself — an independent, mechanical judge (a failing test does not care how hard you worked), which is exactly what .claude/rules/loop-integrity.md Pillar 1 asks for. The --max-cycles flag and the "same test fails 3×" rule are the runaway ceiling. Do not make tests pass by editing the tests — that converts the independent judge into a self-judged loop.

Integration with Blueprint Development:

This command applies project-specific skills:

  • Testing strategies: Knows how to structure tests
  • Implementation guides: Knows how to implement fixes
  • Quality standards: Knows what to refactor
  • Architecture patterns: Knows where code should go

Related skills

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