claude

jole-skills

Twelve-skill bundle covering the Journal of Labor Economics (JOLE) manuscript lifecycle.

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

Plugin jole-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)

  • jole-contribution-framing

    Use when articulating what is new in a Journal of Labor Economics (JOLE) manuscript for a general labor-economics audience — the marginal contribution, the labor lesson, and why a labor economist outside the subfield should care. Frames the pitch; it does not run analysis.

  • jole-data-analysis

    Use when executing the empirical analysis for a Journal of Labor Economics (JOLE) manuscript — labor sample construction (CPS/ACS/registers), wage decompositions, standard errors, and robustness to labor norms, with replicability built in from the start. Operational guidance; pairs with jole-identif

  • jole-identification-strategy

    Use when the causal identification strategy is the bottleneck for a Journal of Labor Economics (JOLE) manuscript — DID/event study, IV including shift-share, RDD, RCT, and AKM firm–worker designs common in labor economics. Stress-tests the design to JOLE's bar before tables are drafted.

  • jole-literature-positioning

    Use when positioning a Journal of Labor Economics (JOLE) manuscript against the labor literature — staking the contribution against the closest papers under Chicago author-date citation norms, not writing a standalone survey. Positions the paper; it does not run analysis.

  • jole-rebuttal

    Use when drafting a response letter to a Journal of Labor Economics (JOLE) revise-and-resubmit — addressing single-blind labor referees point by point under the journal's word economy. Strategy and structure; it does not run new estimations for you.

  • jole-replication-and-data-policy

    Use when assembling the data and code deposit for an accepted Journal of Labor Economics (JOLE) paper — the JOLE Dataverse Repository, the AER data-availability policy (adopted Feb 2009), and proprietary-data handling. Builds the replication package; it does not run analysis.

  • jole-review-process

    Use to understand how the Journal of Labor Economics (JOLE) actually reviews a paper — single-blind refereeing, the non-refundable submission fee, Editorial Manager, the SOLE society tie, and what labor referees expect. Explains the process; it does not draft the manuscript.

  • jole-submission

    Use when running the final pre-submission preflight for the Journal of Labor Economics (JOLE) via Editorial Manager — single-blind NON-anonymized format, title page with all co-authors, 100-word abstract, the 20,000-word soft cap, Chicago author-date references, and the non-refundable submission fee

  • jole-tables-figures

    Use when designing tables and figures for a Journal of Labor Economics (JOLE) manuscript under the journal's word economy — each full-page table or figure counts as 500 words toward the ~20,000-word limit. Makes exhibits earn their space; it does not run the analysis.

  • jole-topic-selection

    Use when deciding whether a research question fits the Journal of Labor Economics (JOLE) — a general-interest labor-economics quarterly — and how to frame it so it matters to labor economists broadly, not just one niche. Tests fit; it does not run the analysis.

  • jole-workflow

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

  • jole-writing-style

    Use when polishing prose, the 100-word abstract, and the introduction for a Journal of Labor Economics (JOLE) manuscript — Chicago author-date references, the 20,000-word economy, and a general labor-economics audience. Polishes exposition; it does not change results or design.

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 jole-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