test-fixing
Systematically identify and fix all failing tests using smart grouping strategies. Use when explicitly asks to fix tests ("fix these tests", "make tests pass"), reports test failures ("tests are failing", "test suite is broken"), or completes implementation and wants tests passing.
Best use case
test-fixing is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Systematically identify and fix all failing tests using smart grouping strategies. Use when explicitly asks to fix tests ("fix these tests", "make tests pass"), reports test failures ("tests are failing", "test suite is broken"), or completes implementation and wants tests passing.
Systematically identify and fix all failing tests using smart grouping strategies. Use when explicitly asks to fix tests ("fix these tests", "make tests pass"), reports test failures ("tests are failing", "test suite is broken"), or completes implementation and wants tests passing.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "test-fixing" skill to help with this workflow task. Context: Systematically identify and fix all failing tests using smart grouping strategies. Use when explicitly asks to fix tests ("fix these tests", "make tests pass"), reports test failures ("tests are failing", "test suite is broken"), or completes implementation and wants tests passing.Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/test-fixing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How test-fixing Compares
| Feature / Agent | test-fixing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Systematically identify and fix all failing tests using smart grouping strategies. Use when explicitly asks to fix tests ("fix these tests", "make tests pass"), reports test failures ("tests are failing", "test suite is broken"), or completes implementation and wants tests passing.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Test Fixing
Systematically identify and fix all failing tests using smart grouping strategies.
## When to Use
- Explicitly asks to fix tests ("fix these tests", "make tests pass")
- Reports test failures ("tests are failing", "test suite is broken")
- Completes implementation and wants tests passing
- Mentions CI/CD failures due to tests
## Systematic Approach
### 1. Initial Test Run
Run `make test` to identify all failing tests.
Analyze output for:
- Total number of failures
- Error types and patterns
- Affected modules/files
### 2. Smart Error Grouping
Group similar failures by:
- **Error type**: ImportError, AttributeError, AssertionError, etc.
- **Module/file**: Same file causing multiple test failure
- **Root cause**: Missing dependencies, API changes, refactoring impacts
Prioritize groups by:
- Number of affected tests (highest impact first)
- Dependency order (fix infrastructure before functionality)
### 3. Systematic Fixing Process
For each group (starting with highest impact):
1. **Identify root cause**
- Read relevant code
- Check recent changes with `git diff`
- Understand the error pattern
2. **Implement fix**
- Use Edit tool for code changes
- Follow project conventions (see CLAUDE.md)
- Make minimal, focused changes
3. **Verify fix**
- Run subset of tests for this group
- Use pytest markers or file patterns:
```bash
uv run pytest tests/path/to/test_file.py -v
uv run pytest -k "pattern" -v
```
- Ensure group passes before moving on
4. **Move to next group**
### 4. Fix Order Strategy
**Infrastructure first:**
- Import errors
- Missing dependencies
- Configuration issues
**Then API changes:**
- Function signature changes
- Module reorganization
- Renamed variables/functions
**Finally, logic issues:**
- Assertion failures
- Business logic bugs
- Edge case handling
### 5. Final Verification
After all groups fixed:
- Run complete test suite: `make test`
- Verify no regressions
- Check test coverage remains intact
## Best Practices
- Fix one group at a time
- Run focused tests after each fix
- Use `git diff` to understand recent changes
- Look for patterns in failures
- Don't move to next group until current passes
- Keep changes minimal and focused
## Example Workflow
User: "The tests are failing after my refactor"
1. Run `make test` → 15 failures identified
2. Group errors:
- 8 ImportErrors (module renamed)
- 5 AttributeErrors (function signature changed)
- 2 AssertionErrors (logic bugs)
3. Fix ImportErrors first → Run subset → Verify
4. Fix AttributeErrors → Run subset → Verify
5. Fix AssertionErrors → Run subset → Verify
6. Run full suite → All pass ✓
## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.Related Skills
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