skills/65-game-theory-paper-writer/SKILL.md
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.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research game-theory-paper-writerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
Use the path that matches the user's input:
references/topic-and-modeling.md, then references/model-toolkit.md, then draft with references/paper-writing.md.references/topic-and-modeling.md; choose the smallest viable model before writing.references/topic-and-modeling.md; cite and compare with the anchors.references/revision-and-review.md; diagnose structure, contribution, model, proofs, writing, and references before editing.references/revision-and-review.md; build a comment-response matrix before rewriting.references/model-toolkit.md; verify assumptions, equilibrium concept, solvability, comparative statics, and robustness before drafting prose.references/revision-and-review.md and revise before delivering.For a full generation task, deliver:
For a polishing task, deliver:
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.tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".