yogsoth-ai Sub-Question Decomposition
Decompose a main question into a hierarchy of independently answerable sub-questions — when the question is too complex to answer in one pass.
Orchestration Intent
Structure "decomposing a complex question" as: generate sub-questions → map dependencies → design answering order. The three steps run sequentially, each step's output being the next step's input.
Available SOPs
| SOP | Responsibility | When to call |
|---|---|---|
| sub-question-generation | Decompose the main question into sub-questions | First step, mandatory |
| dependency-mapping | Map dependency relationships among sub-questions | After sub-questions are generated |
| answering-sequence-design | Design the optimal answering order | After the dependency graph is complete |
Orchestration Pattern
Serial mode (the only mode):
- sub-question-generation → sub-question list + independence argument
- dependency-mapping → dependency graph + critical path
- answering-sequence-design → execution sequence + parallelization opportunities
Each step strictly depends on the previous step's output; no parallelization.
Minimum Yield
- ≥3 sub-questions (M tier)
- Each sub-question has an independence argument
- Dependency graph (no circular dependencies)
- Suggested answering sequence + parallelization opportunity identification
Yield Report
After execution, report:
- Number of sub-questions generated
- Number of dependency relationships
- Critical path length
- Groups of sub-questions that can be answered in parallel
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| answering-sequence-design | SOP: Design the optimal answering order for sub-questions |
| dependency-mapping | SOP: map dependency relationships among sub-questions |
| sub-question-generation | SOP: Decompose a main research question into independently answerable sub-questions |