Twelve-skill bundle covering the Information Systems Research (ISR) manuscript lifecycle.
Plugin isr-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.
isr-contribution-framingUse when turning results into an explicit contribution to IS for an Information Systems Research (ISR) manuscript and when drafting the mandatory ~500-word cover-letter contribution statement (required since June 1, 2023). Frames the contribution; it does not position the literature (isr-literature-
isr-data-analysisUse when executing and reporting the analysis for an Information Systems Research (ISR) manuscript — identification and validity for empirical work, proof discipline and comparative statics for analytical work, and rigorous evaluation for design-science work, with overflow routed to the electronic c
isr-literature-positioningUse when positioning an Information Systems Research (ISR) manuscript in the IS literature — naming the conversation(s) you join, bridging behavioral, economic, design-science, and organizational IS silos, and showing the intradisciplinary move that ISR prizes. Positions the work; it does not build
isr-methodsUse when choosing and stress-testing the research design for an Information Systems Research (ISR) manuscript — matching the genre (behavioral empirical, analytical-economic modeling, design-science, or multimethod) to the question, and ensuring the design can actually support the IS contribution. D
isr-rebuttalUse when planning and drafting the response to an Information Systems Research (ISR) revise-and-resubmit — prioritizing the Senior Editor's binding concerns, addressing genre-specific reviewer asks (assumptions/proofs, identification/validity, evaluation), updating the contribution statement, and us
isr-review-processUse to understand how Information Systems Research (ISR) handles a submission — the EIC fit gate, the Senior-Editor-led process with an Associate Editor and reviewers, double-anonymized review, and how to read an ISR decision letter. Sets expectations and interprets letters; it does not draft the re
isr-submissionUse when running the final pre-submission preflight for an Information Systems Research (ISR) manuscript — INFORMS ScholarOne portal, double-anonymization, the 32/38-page cap and formatting, the mandatory ~500-word contribution statement, and the required editor/reviewer nominations in the cover let
isr-tables-figuresUse when designing the exhibits for an Information Systems Research (ISR) manuscript — correlation/measurement tables, estimation results, model/equilibrium figures, design-science evaluation tables, and the split between main text and the electronic companion under ISR's 32-page text / 38-page tota
isr-theory-developmentUse when building or refining the mechanism for an Information Systems Research (ISR) manuscript — deriving behavioral hypotheses for empirical work or analytical propositions/equilibrium predictions for modeling work, always centered on the IT artifact and the sociotechnical interplay across levels
isr-topic-selectionUse when shaping or sanity-checking a research question for Information Systems Research (ISR) — testing sociotechnical, intradisciplinary fit, IT-artifact centrality, the level(s) of analysis, and whether the question belongs at ISR versus MISQ, JMIS, or Management Science. Locks the question and g
isr-workflowUse when deciding which isr-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an Information Systems Research (ISR) manuscript. Routes — it does not replace — the specialized skills. Knows ISR's sociotechnical, intradisciplinary mission and its
isr-writing-styleUse when polishing the prose, structure, abstract, and notation of an Information Systems Research (ISR) manuscript — front-loading the IS contribution, writing for a sociotechnical and intradisciplinary readership, keeping the 300-word abstract and double-anonymized text, and following INFORMS auth
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
English natural-science / clinical / physical / formal-science journal routing and per-journal fit skills with official-submission-check discipline.
155 skills
Chinese social-science journal routing and per-journal fit skills with official-submission-check discipline.
103 skills
English economics / business journal routing and per-journal fit skills with official-submission-check discipline.
101 skills
English engineering / technology journal routing and per-journal fit skills with official-submission-check discipline.
41 skills
English humanities journal routing and per-journal fit skills with argument-, source-, and style-guide discipline.
37 skills
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
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and development workflows.
18 skills · 1 MCP server
Content marketing strategy, web research, and information synthesis for marketing operations
1 skill · 2 agents
Ready-to-run workflows for financial advisors in Claude Cowork, drawing live data from the tools their firm already uses through third-party connectors. The plugin holds no client data, and the advisor approves any write back to an external system. Claude gathers, organizes, summarizes, compares and presents information, while the advisor exercises judgment, makes the recommendation and gives the advice. For financial professional use only; not investment, legal, or tax advice.
8 skills · 6 agents · 36 MCP servers
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
Android skills are Google's official dedicated repository of AI-optimized, modular instructions and resources, to help LLMs better understand and execute specific patterns that follow the best practices and guidance on Android development. Android skills follow the open-standard agent skills - markdown files (SKILL.md) that provide a technical specification of a task, and ground LLMs with information on specialized domains and workflows.
36 skills
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