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game-theory-paper-writer

Generate, continue, revise, polish, and stress-test game theory research papers

Install / Use

npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill 65-game-theory-paper-writer

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

79/100

Supported Platforms

Universal

Our assessment of game-theory-paper-writer

game-theory-paper-writer scores 79/100 on our quality scale, 399th of 574 Content & Media skills we index.

Its SKILL.md is 5.4 KB long, split into 7 sections and no code examples: a solid amount of guidance for an agent.

With 4,360 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
11/20
Description
12/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so game-theory-paper-writer is actively maintained.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

game-theory-paper-writer compared with similar skills

All 4 of these similar skills score higher than game-theory-paper-writer; compare them before choosing.

SkillScoreStarsUpdatedFormat
game-theory-paper-writer (this skill)by brycewang-stanford794.4k3d agoSKILL.md
Agent-Reachby Panniantong10085.6k11d agoCLAUDE.md
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algorithmic-artby anthropics100177.9k4d agoSKILL.md
pptxby anthropics100177.9k4d agoSKILL.md

Frequently asked questions

How do I install game-theory-paper-writer?
Run npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill game-theory-paper-writer. The install tabs above show the steps for each supported agent.
Which AI agents does game-theory-paper-writer work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is game-theory-paper-writer safe to use?
It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is game-theory-paper-writer still maintained?
The repository was last updated 3 days ago, so game-theory-paper-writer is actively maintained.

name: game-theory-paper-writer 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.

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.

Related Skills

View on GitHub
GitHub Stars4.4k
CategoryContent
Updated3d ago
Forks527

Languages

Stata

Trust signals

88/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 medium