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Get Started Free →Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest
.claude/skills/brycewang-stanford-workflows-ideate/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -15% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 259% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 67% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 131% | 0% |
Divergent exploration before convergent brainstorming. Generate many candidates, then filter ruthlessly.
Read $ARGUMENTS. If the user provides a specific research question, ideate around it. If they provide a broad topic, explore broadly.
Generate 15-20 candidate research directions. Use these research-adapted ideation frames:
Dispatch methods-explorer and literature-scout agents in parallel to ground the ideation in real methods and recent papers.
Iron rule: Generate the full candidate list before critiquing any idea. Push past the first few obvious directions.
Entry condition: Phase 1 produced at least 15 candidate directions (the iron rule). Exit condition: 5-7 survivors identified, all rejected candidates have one-line rejection reasons.
For each candidate, evaluate:
Dispatch identification-critic to attack the top 10 candidates. Only candidates surviving adversarial scrutiny advance.
Target: 5-7 survivors with explicit rejection reasons for all others.
Write the ideation document to docs/ideation/ with YAML frontmatter:
yaml--- status: complete date: YYYY-MM-DD topic: <descriptive topic> candidates_generated: <N> survivors: <N> ---
Content:
/workflows:brainstorm on the top 1-2 candidatesEnd with: "Ideation complete. Run /workflows:brainstorm [top candidate] to develop requirements for the strongest direction."
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 19,635 | 33,568 | +71% | 1 | 1 | 0% | 3,446 | 6,567 | +91% | 0 | 0 | — |
case-02 | fail→pass | 35,803 | 25,684 | -28% | 1 | 1 | 0% | 6,220 | 5,258 | -15% | 0 | 0 | — |
case-03 | fail→fail | 27,908 | 37,329 | +34% | 1 | 1 | 0% | 4,543 | 6,883 | +52% | 0 | 0 | — |
case-04 | pass→pass | 33,077 | 26,387 | -20% | 1 | 1 | 0% | 6,191 | 5,639 | -9% | 0 | 0 | — |
case-05 | pass→fail | 24,846 | 32,778 | +32% | 1 | 1 | 0% | 4,128 | 6,530 | +58% | 0 | 0 | — |
case-06 | fail→pass | 24,329 | 23,044 | -5% | 1 | 1 | 0% | 5,510 | 6,093 | +11% | 0 | 0 | — |
case-07 | fail→pass | 9,278 | 25,430 | +174% | 1 | 1 | 0% | 1,462 | 5,249 | +259% | 0 | 0 | — |
case-08 | fail→pass | 19,082 | 26,687 | +40% | 1 | 1 | 0% | 3,243 | 5,421 | +67% | 0 | 0 | — |
case-09 | fail→fail | 18,936 | 34,216 | +81% | 1 | 1 | 0% | 3,630 | 6,833 | +88% | 0 | 0 | — |
case-10 | fail→fail | 13,720 | 23,796 | +73% | 1 | 1 | 0% | 2,564 | 5,284 | +106% | 0 | 0 | — |
case-11 | fail→fail | 24,263 | 37,370 | +54% | 1 | 1 | 0% | 4,081 | 6,828 | +67% | 0 | 0 | — |
case-12 | fail→fail | 8,339 | 29,946 | +259% | 1 | 1 | 0% | 1,350 | 6,008 | +345% | 0 | 0 | — |
case-13 | fail→fail | 37,567 | 39,048 | +4% | 1 | 1 | 0% | 6,171 | 6,829 | +11% | 0 | 0 | — |
case-14 | pass→pass | 15,081 | 31,220 | +107% | 1 | 1 | 0% | 2,487 | 6,115 | +146% | 0 | 0 | — |
case-15 | fail→fail | 14,762 | 27,170 | +84% | 1 | 1 | 0% | 2,590 | 5,607 | +116% | 0 | 0 | — |
case-16 | fail→pass | 16,249 | 30,761 | +89% | 1 | 1 | 0% | 2,615 | 6,038 | +131% | 0 | 0 | — |
case-17 | fail→fail | 13,318 | 22,458 | +69% | 1 | 1 | 0% | 2,141 | 4,467 | +109% | 0 | 0 | — |
case-18 | fail→fail | 5,858 | 19,933 | +240% | 1 | 1 | 0% | 975 | 4,032 | +314% | 0 | 0 | — |
case-19 | fail→fail | 22,466 | 33,372 | +49% | 1 | 1 | 0% | 3,771 | 6,828 | +81% | 0 | 0 | — |
case-20 | fail→pass | 18,171 | 33,625 | +85% | 1 | 1 | 0% | 3,098 | 6,825 | +120% | 0 | 0 | — |
case-21 | pass→pass | 12,787 | 34,711 | +171% | 1 | 1 | 0% | 2,595 | 6,835 | +163% | 0 | 0 | — |
case-22 | fail→fail | 25,530 | 29,207 | +14% | 1 | 1 | 0% | 4,266 | 5,721 | +34% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +23 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.