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Hyperflow trace

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/hyperflow/templates/antigravity/skills/hyperflow-trace

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill hyperflow-trace

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What its author says it does

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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.

SKILL.md

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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.

Keep looking

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