claude

geb-skills

Twelve-skill bundle covering the Games and Economic Behavior (GEB) manuscript lifecycle, from game-theoretic topic selection through the Editor-in-Charge review process and R&R rebuttal.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
/

Plugin geb-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (12)

  • geb-contribution-framing

    Use when the "what does this advance in game theory?" sentence is missing or muddy for a Games and Economic Behavior (GEB) manuscript. Forges the single-sentence contribution and the introduction's claim structure so the Editor in Charge sees the advance immediately.

  • geb-data-analysis

    Use when a Games and Economic Behavior (GEB) manuscript involves experimental data or numerical illustration — analyzing strategic-game experiments and building verified worked examples. Adapts analysis to GEB's game-theory nature, where data supports the theory rather than carrying a causal claim.

  • geb-identification-strategy

    Use when the analytical core of a Games and Economic Behavior (GEB) manuscript is the bottleneck — assumptions, theorem statements, proof exposition, and generality for a game-theory paper (and the experimental-identification analogue for behavioral work). Stress-tests the argument's correctness, ti

  • geb-literature-positioning

    Use when positioning a game-theory manuscript against the existing literature for Games and Economic Behavior (GEB) — staking what is new relative to known solution concepts, theorems, mechanisms, and prior experiments. Sharpens the contribution; it is not a standalone survey.

  • geb-rebuttal

    Use after a Games and Economic Behavior revise-and-resubmit to organize responses on theory novelty, equilibrium/proof details, experiments, simulations, Editor-in-Charge priorities, and Elsevier revision files.

  • geb-replication-and-data-policy

    Use when planning data and code sharing for a Games and Economic Behavior (GEB) manuscript. GEB encourages but does NOT mandate a replication archive — unlike AER/Econometrica/JAE — so this skill helps you share well voluntarily and avoid assuming requirements that do not exist here.

  • geb-review-process

    Use when you need to understand how Games and Economic Behavior (GEB) actually evaluates a paper — the Editor-in-Charge model, anonymous Advisory Editors and referees, desk-reject and acceptance odds — so you can target the right audience and set expectations. Explains the process; it does not draft

  • geb-submission

    Use when running the final pre-submission preflight for Games and Economic Behavior (GEB) via Elsevier Editorial Manager — Word/LaTeX (elsarticle) source, 250-word abstract, the mandatory conference-version disclosure in the cover letter, and the generative-AI declaration. Final checks; it does not

  • geb-tables-figures

    Use when building exhibits for a Games and Economic Behavior (GEB) manuscript — payoff matrices, extensive-form game trees, equilibrium/result tables, and experimental plots. Makes strategic structure and results readable to a game-theory audience.

  • geb-topic-selection

    Use when judging whether a game-theory result is the right fit and scale for Games and Economic Behavior (GEB) — does it advance the frontiers of game theory and its applications? Tests the idea against GEB's specialist-but-general-interest bar before the paper is built out.

  • geb-workflow

    Use when deciding which geb-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for a Games and Economic Behavior (GEB) submission. Routes — it does not replace — the specialized skills.

  • geb-writing-style

    Use when polishing prose, abstract, and introduction for a Games and Economic Behavior (GEB) manuscript so the model and result land for a general game-theory reader. Enforces the 250-word abstract cap and elsarticle conventions. Polishes exposition; it does not change results.

View source on GitHub copaper.ai

More from brycewang-stanford/Awesome-Journal-Skills

All 300 plugins →

AI-first computer-science conference skill stack: 155 conference fit-and-submission profiles plus a CS/AI router. Covers top AI/ML, data mining, vision, NLP, robotics, HCI, systems, security, software engineering, programming languages, databases, and theory venues, with current-cycle CFP and author-kit re-check discipline.

156 skills

1,413

English natural-science / clinical / physical / formal-science journal routing and per-journal fit skills with official-submission-check discipline.

155 skills

1,413

Chinese social-science journal routing and per-journal fit skills with official-submission-check discipline.

103 skills

1,413

English economics / business journal routing and per-journal fit skills with official-submission-check discipline.

101 skills

1,413

English humanities journal routing and per-journal fit skills with argument-, source-, and style-guide discipline.

37 skills

1,413

Similar plugins

Competitive ruliology for ruflo swarms — arenas, tournaments, and adaptive co-evolution of program strategies (ADR-147/148); strategies-as-programs compete under payoff games

1 command

ruvnet/ruflo 81,589

5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.

5 skills · 16 commands · 4 agents · hooks

Imbad0202/academic-research-skills 56,698

exa

claude

Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.

2 skills · 1 MCP server

anthropics/claude-plugins-official 47,076

Exa

claude

Exa AI web search, deep research, and content extraction. Provides MCP tools and research skills for comprehensive web search, people discovery, company research, academic papers, and more.

2 skills · 1 MCP server

anthropics/knowledge-work-plugins 35,601

Enterprise / cross-functional Research Operations domain — the managed counterpart to the academic research/ domain. v2.9.0 ships 5 skills: orchestrator (context: fork), clinical-research (protocol synopsis, endpoint selection, sample-size/power for means/proportions/survival, phase-gate feasibility), research-finance (R&D budgeting with F&A split, burn/runway, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM top-down and bottoms-up, survey sampling with FPC, Kotler segmentation), and product-research (goal-matched study design, method-based saturation, insight synthesis flagging single-source anecdotes). Hard rules: outputs are estimates routed to a named clinical or finance owner, market sizes show method + assumptions, product insights require recurrence across independent participants. 24 stdlib Python tools, 12 reference docs. Distinct from ra-qm-team, finance, research/grants, product-team, and marketing-skill.

6 skills · 7 commands · 2 agents

alirezarezvani/claude-skills 29,725

Contribution-first, reviewer-aware academic paper and report writing system.

2 skills

WUBING2023/PaperSpine 6,289

Maintain geb-skills?

This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.

claude & codex plugins300 plugins