From agent-teams
Debugs complex bugs using competing hypotheses across 6 failure categories, parallel evidence collection with strength ratings, and root cause arbitration.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agent-teams:parallel-debuggingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Framework for debugging complex issues using the Analysis of Competing Hypotheses (ACH) methodology with parallel agent investigation.
Framework for debugging complex issues using the Analysis of Competing Hypotheses (ACH) methodology with parallel agent investigation.
Generate hypotheses across 6 failure mode categories:
| Evidence Type | Strength | Example |
|---|---|---|
| Direct | Strong | Code at file.ts:42 shows if (x > 0) should be if (x >= 0) |
| Correlational | Medium | Error rate increased after commit abc123 |
| Testimonial | Weak | "It works on my machine" |
| Absence | Variable | No null check found in the code path |
Always cite evidence with file:line references:
**Evidence**: The validation function at `src/validators/user.ts:87`
does not check for empty strings, only null/undefined. This allows
empty email addresses to pass validation.
| Level | Criteria |
|---|---|
| High (>80%) | Multiple direct evidence pieces, clear causal chain, no contradicting evidence |
| Medium (50-80%) | Some direct evidence, plausible causal chain, minor ambiguities |
| Low (<50%) | Mostly correlational evidence, incomplete causal chain, some contradicting evidence |
After all investigators report:
If multiple hypotheses are confirmed, rank by:
Before declaring the bug fixed:
npx claudepluginhub p/helios516-agent-teams-plugins-agent-teams12plugins reuse this skill
First indexed Jun 7, 2026
Showing the 6 earliest of 12 plugins
Debug complex issues using competing hypotheses, evidence collection, and root cause arbitration. Useful when bugs have multiple potential causes or span multiple modules.
Debugs systematically with hypothesis preflight, single-change iterations, and regression tests. Use for bugs, errors, exceptions, regressions, test failures, or production outages.
Enumerates competing falsifiable hypotheses for bug symptoms with multiple plausible causes, then picks the cheapest observation that discriminates between them.