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workflows:ideate

Generate 15–20 research directions from a question, topic, or data opportunity, then narrow them to 5–7 candidates. Receive ranked ideas with feasibility assessments, key risks, confidence scores, and reasons for rejecting the others.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Divergent research ideation — generate many candidate directions, then adversarially filter to the strongest

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Explore research directions from a broad topic
  • Find research uses for newly available data
  • Compare ideas by feasibility and contribution
  • Select promising ideas for further development

포함된 파일(1)

  • SKILL.md3.0 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Research Ideation

Divergent exploration before convergent brainstorming. Generate many candidates, then filter ruthlessly.

Phase 0: Scope the Ideation

Read $ARGUMENTS. If the user provides a specific research question, ideate around it. If they provide a broad topic, explore broadly.

Phase 1: Generate Candidates (Divergent)

Generate 15-20 candidate research directions. Use these research-adapted ideation frames:

  1. Identification weakness — What existing results have weak identification? What new variation could fix it?
  2. Computational bottleneck — What problems are infeasible with current methods but tractable with new estimators or hardware?
  3. Data limitation workaround — What would become possible with data that is now available but underexploited?
  4. Alternative estimator class — What if the standard approach (e.g., linear IV) were replaced with a different class (e.g., ML, structural, Bayesian)?
  5. Relaxed assumption — What results depend on assumptions that could be relaxed? What happens when you relax them?
  6. Literature gap — What do practitioners need that academics haven't provided? What do adjacent fields know that this field doesn't?

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.

Phase 2: Adversarial Filter (Convergent)

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:

  • Feasibility (0-100): Can this be done with available data, methods, and time?
  • Contribution (0-100): Would a top journal care about this result?
  • Identification (0-100): Is there a credible identification strategy?

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.

Phase 3: Output

Write the ideation document to docs/ideation/ with YAML frontmatter:

---
status: complete
date: YYYY-MM-DD
topic: <descriptive topic>
candidates_generated: <N>
survivors: <N>
---

Content:

  • Surviving candidates ranked by (Contribution x Identification x Feasibility)
  • For each survivor: 2-3 sentence description, confidence score, key risk
  • Rejected candidates with one-line rejection reason
  • Recommended next step: /workflows:brainstorm on the top 1-2 candidates

Handoff

End with: "Ideation complete. Run /workflows:brainstorm [top candidate] to develop requirements for the strongest direction."

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같은 저장소의 스킬

a1

무료

Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Turn a research topic into testable questions
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brycewang-stanford/Auto-Empirical-Research-Skills4.8천2026년 10월 20일 업데이트

a2

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Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

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brycewang-stanford/Auto-Empirical-Research-Skills4.8천2026년 10월 20일 업데이트

a5

무료

Clarify the philosophical assumptions behind a research project and check whether they fit the proposed methods. Get a reasoned research stance, draft proposal wording, and guidance for explaining how the researcher's background and values shape the study.

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  • Clarifying philosophical foundations for a research proposal
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Plan and draft academic papers through specialized agent roles covering literature, arguments, citations, and review. Get chapter guidance, revision roadmaps, Traditional Chinese and English abstracts, and documents formatted as LaTeX, DOCX, PDF, or Markdown.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Planning a paper chapter by chapter
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Turn a detailed outline into a philosophy or interdisciplinary manuscript. Draft chapters with repeated quality reviews, check terminology and arguments across sections, and prepare the manuscript, evaluation reports, abstract, and metadata for submission.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Draft a full paper from a detailed outline
  • Review argument and citation quality chapter by chapter
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Simulate academic peer review through five reviewer roles tailored to the paper's field. Receive separate critiques, an editorial decision, and a prioritized revision roadmap, or check whether a revised manuscript addresses earlier comments.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Review a manuscript before journal submission
  • Examine research methods and statistical validity
  • Challenge core arguments and alternative explanations
brycewang-stanford/Auto-Empirical-Research-Skills4.8천2026년 10월 20일 업데이트

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