Performs causal root-cause debugging before fixes. Use for bugs, crashes, failing tests or builds, intermittent behavior, regressions, incorrect state, networking failures, or performance anomalies. Requires reproduction/evidence, a falsifiable hypothesis, minimal diagnostic experiments, and architecture reassessment after repeated failed hypotheses.
Scanned 9/19/2026
npx -y skills add LUC4N3X/antigravity-thalarch --skill thalarch-debug --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: thalarch-debug
description: >
Performs causal root-cause debugging before fixes. Use for bugs, crashes, failing tests
or builds, intermittent behavior, regressions, incorrect state, networking failures, or
performance anomalies. Requires reproduction/evidence, a falsifiable hypothesis, minimal
diagnostic experiments, and architecture reassessment after repeated failed hypotheses.
---
# Thalarch Debug
## Causal Debug Protocol
## Phase 1 — Reproduce and bound
Record:
- exact expected vs actual behavior;
- reproduction or failure evidence;
- frequency if intermittent;
- environment/version;
- earliest known good state when available.
## Phase 2 — Trace the causal chain
Trace backward from the symptom.
At each boundary ask:
- what entered?
- what exited?
- what state/config was assumed?
- where is the first violated contract?
Instrument boundaries rather than guessing downstream fixes.
## Phase 3 — Compare a working analogue
Find the closest known-working path and compare all meaningful differences.
Do not dismiss small differences without evidence.
## Phase 4 — Hypothesis
Write exactly one primary hypothesis:
`Cause: ...`
`Because: ...`
`Prediction if true: ...`
`Observation that disproves it: ...`
Then run the smallest experiment that separates this hypothesis from alternatives.
## Phase 5 — Fix source, prove regression
Prefer the earliest incorrect state or broken contract.
Where practical, demonstrate:
- fail before;
- pass after;
- nearby regression checks remain green.
## Breaker
After three failed hypotheses:
- stop patch accumulation;
- re-open assumptions;
- examine shared state, ownership, lifecycle, and architecture;
- use a fresh agent/context for the reassessment.
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