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Deep structured thinking with parallel expert analysis before implementation (INTERNAL)
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Basado en la clasificación ocupacional SOC
Quality bug fixes (P1/P2). Full TDD cycle, branch from master via feature/, no production deploy.
Execute ONE executable leaf workstream with TDD, guard enforcement, and ws-verdict output
Deployment orchestration. Creates PR to master (after @oneshot) or merges for release.
System design with progressive disclosure, produces workstream files
Feature planning orchestrator (discovery -> idea -> ux -> design -> workstream tree)
Emergency P0 fixes. Fast-track production deployment with minimal changes. Branch from master, immediate deploy.
| name | think |
| description | Deep structured thinking with parallel expert analysis before implementation (INTERNAL) |
Used by @idea, @design, @feature. Three stages: breakdown → parallel expert analysis → summary.
Identify aspects to think through. Choose main expert. Output: Understanding + Aspects table (5-10 rows).
Launch expert agents (max 4 concurrent) — one per aspect:
Task(subagent_type="expert"):
"Aspect: [name]. Task context: [brief]. Study project and propose options."
Each expert: study project → apply expert principles → propose 2-4 options → make decision.
When experts return, create unified document. Save to docs/plans/YYYY-MM-DD-[topic]-design.md. Ask: "Which aspects to discuss? Or ready to implement?"
Skip parallel agents: Study → Analyze (named experts) → Propose options → Recommend.