Skip to content
cccskills
FreePublished on GitHub

game-theory-paper-writer

Develop game theory papers from topics, model ideas, or drafts. The skill guides research questions, model design, equilibrium analysis, writing, and revision, with checks for mathematical rigor, citation gaps, and responses to reviewer comments.

OriginalShow the original description

Generate, continue, revise, polish, and stress-test game theory research papers. Use when the user provides a game theory topic, phenomenon, draft, outline, model idea, literature anchor, reviewer comments, or asks for 博弈论论文生成, 选题建模, 文献迁移, 模型修正, 均衡分析, 数值模拟, 论文润色, 改稿打磨, or R&R response work.

Run score Not tested

See how to install

Good for

  • Turn a research topic into a game theory model
  • Check equilibrium analysis and proofs
  • Revise a draft's structure and wording
  • Prepare responses to reviewer comments

Files included (6)

  • SKILL.md5.5 KB
  • agents/openai.yaml242 B
  • references/model-toolkit.md7.1 KB
  • references/paper-writing.md6.1 KB
  • references/revision-and-review.md5.7 KB
  • references/topic-and-modeling.md7.7 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Game Theory Paper Writer

Core Rule

Support legitimate research writing only. Do not help copy, disguise, evade plagiarism detection, fabricate references, fabricate data, or present another paper's model/text as original work. When reusing ideas from a source paper, require clear citation, explicit comparison, independent derivation, and a concrete marginal contribution.

When citations are needed but sources are not provided and no literature search tool is available, use citation placeholders and clearly mark them as TODO: verify source. Never invent author names, years, journal titles, DOIs, or empirical facts.

Workflow Selector

Use the path that matches the user's input:

  • Topic only: read references/topic-and-modeling.md, then references/model-toolkit.md, then draft with references/paper-writing.md.
  • Reality phenomenon or industry case: use the reality-to-model workflow in references/topic-and-modeling.md; choose the smallest viable model before writing.
  • One or more anchor papers/literature notes: use the literature-grounded workflows in references/topic-and-modeling.md; cite and compare with the anchors.
  • Existing draft/outline: read references/revision-and-review.md; diagnose structure, contribution, model, proofs, writing, and references before editing.
  • Reviewer comments/R&R: read references/revision-and-review.md; build a comment-response matrix before rewriting.
  • Mathematical model already specified: read references/model-toolkit.md; verify assumptions, equilibrium concept, solvability, comparative statics, and robustness before drafting prose.

Topic-To-Paper Procedure

  1. Clarify the minimum necessary scope: language, target output, length, target journal/course level, required citation style, and whether real literature search is available. If missing, proceed with reasonable defaults and state assumptions.
  2. Formulate the research core: research question, core strategic tension, players, decision variables, information structure, timing, payoff logic, and expected contribution.
  3. Generate 2-3 candidate model routes, score them by tractability, economic intuition, literature continuity, and publishable contribution. Select the strongest route unless the user has specified one.
  4. Build the model identity report: cooperative/non-cooperative, static/dynamic, complete/incomplete information, perfect/imperfect information, discrete/continuous strategies, two-player/N-player/large-population, and matching equilibrium concept.
  5. Write the model setup in three layers: intuition first, formalization second, definitions and assumption justification third.
  6. Solve or outline the equilibrium analysis: assumptions, first-order conditions or equilibrium conditions, second-order/concavity checks when relevant, propositions, proofs or proof sketches, intuition, comparative statics, and parameter restrictions.
  7. Add numerical simulation or case mapping when the model would otherwise feel too abstract, the formulas are too complex, or a policy/managerial implication needs visualization.
  8. Draft the paper in standard order: title, abstract, introduction, literature review, model, equilibrium analysis, numerical/case section, extensions/robustness, conclusion, references, appendix.
  9. Run the self-review checklist in references/revision-and-review.md and revise before delivering.

Draft-To-Revision Procedure

  1. Build a revision map: current thesis, claimed contribution, model structure, main results, missing proofs, weak sections, and citation gaps.
  2. Run three passes in order: logic and contribution, model/proof rigor, language and formatting.
  3. For every substantive edit, preserve the author's intended claim unless it is unsupported; when unsupported, either add the needed support or weaken the claim.
  4. Output a polished version plus a short revision memo listing: major changes, remaining risks, citation TODOs, mathematical TODOs, and optional next-step upgrades.

Expected Outputs

For a full generation task, deliver:

  • A research design brief.
  • A complete paper outline.
  • A draft paper or the requested section.
  • A model/proof appendix when mathematical steps are substantial.
  • A revision checklist and unresolved verification items.

For a polishing task, deliver:

  • A revised manuscript or section.
  • A change memo organized by contribution, model, results, prose, and formatting.
  • A list of claims, citations, or derivations that still require verification.

Reference Files

  • references/topic-and-modeling.md: research question generation, literature-grounded adaptation, multi-paper synthesis, and reality-to-model translation.
  • references/model-toolkit.md: model classification, model family selection, function choice, equilibrium concepts, and solvability checks.
  • references/paper-writing.md: paper structure, abstract, introduction, literature review, model setup, equilibrium analysis, simulation/case writing, and conclusion templates.
  • references/revision-and-review.md: draft diagnosis, self-review, simulated reviewer critique, solving intractable models, polishing passes, and R&R response workflow.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

a1

FreeSummary

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.

  • Turn a research topic into testable questions
  • Narrow an overly broad research question
  • Compare alternative research angles
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

a2

FreeSummary

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.

  • Comparing theories for a research question
  • Deriving hypotheses from relationships between variables
  • Examining weaknesses and anticipated reviewer objections
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

a5

FreeSummary

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.

  • Clarifying philosophical foundations for a research proposal
  • Explaining why the chosen research methods fit the study
  • Drafting a statement about the researcher's position
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

academic-paper

FreeSummary

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.

  • Planning a paper chapter by chapter
  • Drafting a paper from research materials
  • Turning reviewer comments into a revision roadmap
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

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.

  • Draft a full paper from a detailed outline
  • Review argument and citation quality chapter by chapter
  • Check terminology and argument flow across chapters
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

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.

  • Review a manuscript before journal submission
  • Examine research methods and statistical validity
  • Challenge core arguments and alternative explanations
brycewang-stanford/Auto-Empirical-Research-Skills4.8KUpdated Oct 20, 2026

See all skills by brycewang-stanford

Report a problem with this skill