Game Theory Paper Writer

SkillAI & models

This skill lets your AI write, revise, and stress-test game theory research papers. Give it a topic, a phenomenon, a draft, or reviewer comments, and it can produce new sections, refine your model, or get a paper ready for resubmission.

Available today. Use it from your connected AI after setup.

After adding the skill, share your topic, draft, outline, or reviewer comments and say what you need, such as a first draft, a revision, or a response to reviewers.

Then ask your AI: use the Game Theory Paper Writer skill

What your AI can do with it

  • Draft a new game theory paper from a topic, phenomenon, or model idea
  • Continue or complete a draft or outline you already have
  • Refine a model and run equilibrium analysis or numerical simulations
  • Apply ideas from related literature to your topic or model
  • Polish and revise your writing across drafts
  • Stress-test a paper and prepare responses to reviewer comments

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/65-game-theory-paper-writer/SKILL.md and read by ahel’s review.

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.

Signals

GitHub stars
4k
Forks
476
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
game-theory-paper-writer
Source
github.com/brycewang-stanford/auto-empirical-research-skills