claude

jhe-skills

Twelve-skill bundle covering the Journal of Health Economics manuscript lifecycle.

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

Plugin jhe-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)

  • jhe-identification

    Use when the identification argument is the bottleneck for a Journal of Health Economics (JHE) manuscript — quasi-experimental health-policy variation, selection into insurance/treatment, eligibility RD, or structural identification of demand/provider parameters. Stress-tests the data-to-estimand ma

  • jhe-literature-positioning

    Use when the contribution of a Journal of Health Economics (JHE) manuscript relative to the health-economics frontier is fuzzy or undersold. Stakes the marginal contribution against the right health-econ literatures; it does not run the analysis or invent citations.

  • jhe-rebuttal

    Use when a Journal of Health Economics (JHE) decision letter arrives (R&R or reject-and-resubmit) and a response-to-referees letter plus revision plan must be drafted. Plans and structures the response; it does not run the new analysis (jhe-identification / jhe-robustness) or the submission prefligh

  • jhe-referee-strategy

    Use when pre-morteming a Journal of Health Economics (JHE) manuscript against the objections its health-economist referees raise before submission. Anticipates and disarms likely pushback; it does not draft the response letter after a decision (jhe-rebuttal) or run the submission preflight.

  • jhe-replication-package

    Use when assembling the data, code, and access documentation for a Journal of Health Economics (JHE) manuscript — where much health data is restricted (claims, administrative, EHR) and the journal's policy encourages rather than mandates deposit. Packages reproducibility and a credible restricted-da

  • jhe-robustness

    Use when a Journal of Health Economics (JHE) result must be shown stable to specification, sample, inference, and mechanism threats before submission or in response to referees. Organizes robustness by identifying threat; it does not establish the design (jhe-identification) or build exhibits.

  • jhe-submission

    Use when running the final pre-submission preflight for a Journal of Health Economics (JHE) manuscript via Elsevier Editorial Manager — single-anonymized review, keywords, declarations, data-availability statement, and the no-length-limit/short-paper allowance. Final checks; it does not draft conten

  • jhe-tables-figures

    Use when building or revising the exhibits of a Journal of Health Economics (JHE) manuscript so the health-policy result is legible at a glance and the institutional/identification logic is visible. Formats exhibits; it does not establish the result (jhe-identification / jhe-robustness) or write pro

  • jhe-theory-model

    Use when a Journal of Health Economics (JHE) manuscript needs a model — insurance demand/selection, provider behavior under a payment rule, or a health-production/human-capital frame — to interpret estimates or run a counterfactual. Disciplines the conceptual frame; it does not establish identificat

  • jhe-topic-selection

    Use when deciding whether a question is a Journal of Health Economics (JHE) paper at all — is it a genuine health-economics contribution, not a public-finance or labor paper with health as a thin application. Frames the question and audience; it does not run the analysis or invent citations.

  • jhe-workflow

    Use when deciding which jhe-* sub-skill to invoke next, or when sequencing manuscript work from topic through rebuttal for a Journal of Health Economics (JHE) submission. Routes — it does not replace — the specialized skills.

  • jhe-writing-style

    Use when the prose of a Journal of Health Economics (JHE) manuscript buries the question or the policy stakes — abstract, introduction, and the institutional setup. Shapes the writing so a health economist sees the contribution fast; it does not establish results or build exhibits.

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

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

Semi-automated research assistant with skills for literature review, experiments, analysis, writing, and project knowledge management

45 skills · 66 commands · 6 agents · hooks

Galaxy-Dawn/claude-scholar 6,042

Maintain jhe-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