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Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas.
Passed 12 of 22 test cases with the skill, and 7 of 22 without it.
and 3 more in the full report
5 fixed7 passed either way10 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Two separate parallel tracks reported promising leads at the sync point: database index contention and external service throttling. According to standard multi-thread decision framework rules, how should the team prioritize these competing leads?
| Checked | Without skill | With skill |
|---|---|---|
| Prioritizes competing leads based on evidence strength. | Missed | Passed |
The instructions your model reads when the skill loads.
Coordinate parallel investigation threads to explore multiple hypotheses simultaneously. Most effective for production incidents, performance regressions, or integration failures where the root cause is unclear.
When uncertain, explore multiple paths in parallel. Converge when evidence points to an answer.
Parallel investigation reduces time-to-solution by eliminating serial bottlenecks.
Break the problem into independent investigation threads:
Problem: API responses are slow
Investigation Threads:
├── Thread A: Database performance
│ └── Check slow queries, indexes, connection pool
├── Thread B: Application code
│ └── Profile endpoint handlers, check for N+1
├── Thread C: Infrastructure
│ └── Check CPU, memory, network latency
└── Thread D: External services
└── Check third-party API response times
Each thread should be independent (no blocking dependencies), focused (clear scope), and time-boxed.
Assign threads with clear ownership:
## Thread A: Database Performance
**Investigator:** [Name/Agent A]
**Duration:** 30 minutes
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.