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Investigate an issue using multiple specialized agents in parallel
How this command is triggered — by the user, by Claude, or both
Slash command
/dream-team:investigatearchive/The summary Claude sees in its command listing — used to decide when to auto-load this command
# Investigate Command Launch a parallel investigation into an issue. **Issue:** $ARGUMENTS (describe the issue to investigate) ## Investigation Strategy This command launches multiple specialized agents in parallel to investigate the issue from different angles: ### Parallel Investigation Teams 1. **Code Analysis** - senior-backend-dev: Analyze code flow and logic - integration-developer: Check external service communication 2. **Infrastructure Analysis** - infrastructure-engineer: Check metrics, logs, and infrastructure - database-engineer: Analyze database queries and d...
Launch a parallel investigation into an issue.
Issue: $ARGUMENTS (describe the issue to investigate)
This command launches multiple specialized agents in parallel to investigate the issue from different angles:
Code Analysis
Infrastructure Analysis
Test Analysis
Describe the issue clearly, including:
The Engineering Manager will coordinate the investigation and synthesize findings.
npx claudepluginhub joshuarweaver/cascade-ai-ml-agents-misc-1 --plugin ashchupliak-dream-team/diagnoseFans out 3-5 parallel investigation agents to debug a problem from multiple angles — code search, git history, config audit, and known issues — then synthesizes findings into ranked probable causes with evidence.
/debugDiagnoses root cause of bugs, errors, or test failures using adaptive multi-perspective investigation with parallel subagents.
/investigatorDiagnoses bugs and incidents through root-cause analysis, gathering evidence before proposing any fix. Triggers on keywords like bug, debug, investigate, or incident.
/team-debugDebug complex issues using competing hypotheses investigated in parallel by multiple agent teammates, then arbitrates findings to rank root causes by confidence.
/debugInvestigates bugs by spawning parallel agents with competing hypotheses, then aggregates evidence to identify root cause.