hyperflow-trace

Solid

Hyperflow debugging. Use for bugs, test failures, runtime errors, broken builds, or "this doesn't work" reports — verbs like debug, "fix it", solve, "why is X failing", "Y is broken", or a pasted stack trace. Systematic root-cause analysis before any patch — never blind-patch symptoms.

AI & Automation 2,359 stars 334 forks Updated today MIT

Install

View on GitHub

Quality Score: 91/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
64
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# hyperflow-trace — root-cause phase (Antigravity single-agent) Find the root cause before changing anything. Follow the `hyperflow` doctrine. ## Steps 1. **Reproduce / locate.** Read the error, stack trace, or failing test. Identify the exact failing line and the observed-vs-expected behavior. 2. **5 Whys.** Trace the causal chain backward — keep asking "why" until you reach the true cause, not a symptom. 3. **Hypotheses.** List the 2-4 most plausible causes. For each, state a cheap test (read a file, add a log, run one test) that confirms or rules it out. Test them — narrow to the real cause. 4. **Confirm** the root cause with evidence (a failing assertion, a value print, a reproduced path). Do not patch on a guess. 5. **Fix** the root cause minimally. Add or update a test that would have caught it (characterization test before behavior change). 6. **Verify**: re-run the failing case + the surrounding suite. Self-review the diff (L1-L3). Commit as `fix(<scope>): <root cause>` (conventional, lowercase). ## Rules - Never blind-patch a symptom to make an error message disappear. - No behavior change beyond the fix unless asked. - If the root cause is unclear after hypothesis testing, surface what you found and what's still unknown — don't ship a speculative patch.

Details

Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category