Systematically identify and fix all failing tests using smart error grouping.
Works with
Groups failures by error type, affected module, and root cause, then prioritizes fixes by impact and dependency order
Fixes infrastructure issues first (imports, dependencies, configuration), followed by API changes, then logic bugs
Runs focused test subsets after each fix using pytest markers and file patterns to verify progress before moving to the next group
Follows a structured workflow: initial test
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontest-fixingExecute the skills CLI command in your project's root directory to begin installation:
Fetches test-fixing from sickn33/antigravity-awesome-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate test-fixing. Access via /test-fixing in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Save 3-5 hours per week on routine tasks
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Systematically identify and fix all failing tests using smart grouping strategies.
Run make test to identify all failing tests.
Analyze output for:
Group similar failures by:
Prioritize groups by:
For each group (starting with highest impact):
Identify root cause
git diffImplement fix
Verify fix
uv run pytest tests/path/to/test_file.py -v
uv run pytest -k "pattern" -v
Move to next group
Infrastructure first:
Then API changes:
Finally, logic issues:
After all groups fixed:
make testgit diff to understand recent changesUser: "The tests are failing after my refactor"
make test → 15 failures identifiedPrerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
sickn33/antigravity-awesome-skills
I recommend test-fixing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
test-fixing is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added test-fixing from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
test-fixing has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: test-fixing is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: test-fixing is focused, and the summary matches what you get after install.
I recommend test-fixing for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: test-fixing is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in test-fixing — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
test-fixing reduced setup friction for our internal harness; good balance of opinion and flexibility.
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