Explore methodological approaches through structured analysis before planning implementation
Pipeline mode: This command operates fully autonomously. All decisions are made automatically.
Brainstorming helps answer WHAT approach to take through structured analysis. It precedes /workflows:plan, which answers HOW to implement it.
Process knowledge: See references/brainstorming-techniques.md for detailed question techniques, approach exploration patterns, and parsimony principles.
<feature_description> #$ARGUMENTS </feature_description>
If the research question above is empty: Infer the question from recent context — open files, recent conversation, or the project's estimation code. If no context is available, state "No research question provided" and stop.
Evaluate whether brainstorming is needed based on the research question.
Clear requirements indicators:
If requirements are already clear:
Skip brainstorming and note: "Requirements are detailed enough to proceed directly to planning. Run /workflows:plan to continue." Then stop.
If requirements need exploration: Proceed to Phase 1.
Run a targeted scan to understand existing patterns and related methods:
Focus on: existing estimation code, identification strategies used in this project, methodology documented in papers or notes.
Analyze the research question systematically without user interaction:
Document findings from the research agent and decomposition. If the question is ambiguous, pick the most natural interpretation given the project context and note the assumption.
Propose 2-3 concrete methodological approaches based on research and analysis.
For each approach, provide:
| Criterion | Approach A | Approach B | Approach C |
|---|---|---|---|
| Description | 2-3 sentence summary | 2-3 sentence summary | 2-3 sentence summary |
| Theoretical properties | Consistency, efficiency, robustness to misspecification | ... | ... |
| Identification requirements | What assumptions are needed? How testable are they? | ... | ... |
| Computational cost | Estimation time, convergence difficulty, parallelizability | ... | ... |
| Data requirements | Sample size needs, variable availability, panel structure | ... | ... |
| Software availability | Packages (Python/R/Julia), maturity, documentation | ... | ... |
| Monte Carlo evidence | Finite-sample performance from methodology literature | ... | ... |
Recommendation: Select the simplest approach that satisfies the identification requirements. Apply parsimony — prefer well-understood methods with established software implementations over novel approaches unless the research question specifically demands novelty.
Document why the recommended approach was chosen and what conditions would favor the alternatives.
Entry condition: Phase 2 comparison table is complete with all criteria filled for all approaches. Exit condition: Document written to docs/brainstorms/ with all required YAML frontmatter fields.
Write the brainstorm output to docs/brainstorms/<topic>-requirements.md with YAML frontmatter:
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