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Get Started Free →Start a new research project by conducting a structured interview to formalize a research idea, then generates research questions with identification strategies and a project spec. Make sure to use this skill whenever the user wants to develop or document a new research idea — not to search for literature or data. Triggers include: "new project", "start research", "I have an idea", "help me develop this", "I want to study X", "help me formalize this idea", "what's my research question", "what id
.claude/skills/brycewang-stanford-new-project/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-16 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 102% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 2% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 9% | 0% |
Launch a full research pipeline from idea to paper, orchestrated through the dependency graph.
Input: $ARGUMENTS — a research topic or interactive for a guided start via /discover interview.
This skill orchestrates the full dependency graph. Each phase activates when its dependencies are met. The orchestrator manages agent dispatch, three-strikes escalation, and quality gates.
Phase 1: Discovery
├── /discover interview → Research Spec + Domain Profile
├── /discover lit → Literature Synthesis + BibTeX
└── /discover data → Data Assessment
Phase 2: Strategy (depends on Phase 1)
└── /strategize → Strategy Memo + Robustness Plan
Phase 3: Execution (depends on Phase 2)
├── /analyze → Scripts + Tables + Figures
└── /write → Paper Sections
Phase 4: Peer Review (depends on Phase 3)
├── /review --all → Comprehensive Quality Score
└── /review --peer → domain-referee + methods-referee Reports
Phase 5: Submission (depends on Phase 4, score >= 95)
├── /submit target → Journal Recommendations
├── /submit package → Replication Package
└── /submit final → Final VerificationBefore any work begins:
EnterPlanModedata/raw/, data/cleaned/, scripts/R/, paper/sections/, paper/figures/, paper/tables/, etc.quality_reports/plans/YYYY-MM-DD_new-project.mdinteractive or no research spec exists:Run /discover interview to produce:
quality_reports/research_spec_*.md).claude/references/domain-profile.md) — if still template/discover lit with the research topic:/discover data to find datasets:Gate: Research spec and literature review must exist before proceeding.
/strategize to design the empirical strategy:Gate: Strategy memo must pass strategist-critic review (score >= 80).
/analyze to implement the strategy:/write to draft the paper:Gate: Code must pass coder-critic review. Paper sections must exist.
/review --all for comprehensive review:/review --peer for simulated peer review:Gate: Aggregate score >= 80 (commit-ready). Score >= 90 for submission.
/submit target for journal recommendations/submit package for replication package/submit final for final verificationThe pipeline pauses for user input at these points:
Between pauses, the orchestrator runs autonomously per workflow.md.
/new-project always runs through the full pipeline.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-16 | fail→pass | 8,624 | 2,228 | -74% | 1 | 1 | 0% | 1,439 | 1,547 | +8% | 0 | 0 | — |
case-01 | fail→fail | 11,468 | 3,891 | -66% | 1 | 1 | 0% | 2,046 | 1,497 | -27% | 0 | 0 | — |
case-02 | fail→fail | 9,737 | 1,486 | -85% | 1 | 1 | 0% | 1,704 | 1,373 | -19% | 0 | 0 | — |
case-03 | fail→fail | 10,756 | 3,483 | -68% | 1 | 1 | 0% | 1,914 | 1,372 | -28% | 0 | 0 | — |
case-04 | fail→pass | 8,734 | 3,072 | -65% | 1 | 1 | 0% | 1,410 | 1,675 | +19% | 0 | 0 | — |
case-05 | pass→pass | 9,738 | 3,797 | -61% | 1 | 1 | 0% | 1,787 | 1,899 | +6% | 0 | 0 | — |
case-06 | fail→pass | 16,155 | 5,358 | -67% | 1 | 1 | 0% | 1,074 | 2,165 | +102% | 0 | 0 | — |
case-07 | fail→pass | 11,574 | 4,711 | -59% | 1 | 1 | 0% | 1,998 | 2,042 | +2% | 0 | 0 | — |
case-08 | fail→pass | 8,164 | 3,048 | -63% | 1 | 1 | 0% | 1,535 | 1,677 | +9% | 0 | 0 | — |
case-09 | fail→pass | 9,887 | 3,330 | -66% | 1 | 1 | 0% | 2,048 | 1,719 | -16% | 0 | 0 | — |
case-10 | fail→pass | 5,708 | 1,801 | -68% | 1 | 1 | 0% | 1,078 | 1,445 | +34% | 0 | 0 | — |
case-11 | fail→fail | 2,496 | 4,139 | +66% | 1 | 1 | 0% | 322 | 1,365 | +324% | 0 | 0 | — |
case-12 | fail→fail | 2,312 | 4,267 | +85% | 1 | 1 | 0% | 369 | 1,618 | +338% | 0 | 0 | — |
case-13 | fail→fail | 7,210 | 9,677 | +34% | 1 | 1 | 0% | 1,405 | 1,525 | +9% | 0 | 0 | — |
case-14 | pass→pass | 8,543 | 6,058 | -29% | 1 | 1 | 0% | 1,387 | 2,064 | +49% | 0 | 0 | — |
case-15 | pass→pass | 11,237 | 10,273 | -9% | 1 | 1 | 0% | 1,995 | 2,913 | +46% | 0 | 0 | — |
case-17 | fail→pass | 6,986 | 1,800 | -74% | 1 | 1 | 0% | 1,298 | 1,391 | +7% | 0 | 0 | — |
case-18 | fail→pass | 10,462 | 1,356 | -87% | 1 | 1 | 0% | 1,959 | 1,355 | -31% | 0 | 0 | — |
case-19 | fail→pass | 8,946 | 1,945 | -78% | 1 | 1 | 0% | 1,548 | 1,468 | -5% | 0 | 0 | — |
case-20 | fail→pass | 5,200 | 1,582 | -70% | 1 | 1 | 0% | 905 | 1,373 | +52% | 0 | 0 | — |
case-21 | fail→pass | 12,328 | 2,395 | -81% | 1 | 1 | 0% | 2,170 | 1,511 | -30% | 0 | 0 | — |
case-22 | pass→pass | 9,036 | 4,333 | -52% | 1 | 1 | 0% | 1,664 | 1,901 | +14% | 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, and 17 counted toward the lift figure. The other 5 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +55 percentage points is the difference between those two pass rates over the 17 comparable cases. 3 cases got worse with the skill loaded, and they are 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.