career-development
career-development
【数据与研究】Help scientists choose career paths and improve applications, CVs, interviews, and offers. Exclude research-project choices and lab management.
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causal-analyst
causal-analyst
【文档与办公】A step-by-step way to answer 'did X cause Y?' from a table of data — for data scientists and non-experts alike. Use when someone asks 'did our loyalty program raise spend?', 'what's the real impact of the discount / training / campaign?', 'is this cause or just coincidence?', 'would X still have happened without Y?', or wants the effect of a treatmen…
agri-review
agri-review
【数据与研究】Multi-reviewer peer-review system for agricultural manuscripts. Simulates an editorial panel — a coordinating editor, three domain reviewers (methodology, domain/novelty, integrity/ethics) and a devil's advocate — plus a formatting check against the target journal, all acting as senior agricultural scientists. Same machinery as food-review, including…
demog-writing-style
demog-writing-style
【数据与研究】Use when drafting or polishing a Demography (PAA / Duke University Press) manuscript so it reads for population scientists across components, follows the journal's house style (loosely APA), and fits the limits (Research Articles <= 8,000 words main text; Notes <= 4,000; Commentaries <= 2,000; abstract <= 200 words; up to 5 keywords; 3-5 highlights).…
epsl-writing-style
epsl-writing-style
【数据与研究】Use when drafting or compressing prose for an Earth and Planetary Science Letters (EPSL) manuscript. The letters format demands a main text near the 6,500-word cap, a process-forward title and abstract, and prose legible to geochemists, geophysicists, and planetary scientists at once. It guides writing and cutting; it does not invent content.
grad-paradigms
grad-paradigms
【数据与研究】Apply Kuhn's paradigm theory to analyze scientific progress through the cycle of normal science, anomalies, crisis, and revolution. Use this skill when the user needs to understand why a field resists change, trace paradigm shifts in a discipline, analyze incommensurability between competing frameworks, or when they ask 'why do scientists ignore cont…
instrument-data-to-allotrope
instrument-data-to-allotrope
【文档与办公】Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy i…
jpam-writing-style
jpam-writing-style
【数据与研究】Use when drafting or polishing the prose of a Journal of Policy Analysis and Management (JPAM) manuscript — a clear policy implication stated without overclaiming, legible to economists, political scientists, public-management scholars, and practitioners. Improves clarity and calibration; it does not change the analysis.
lay-summary-for-cross-disciplinary-teams
lay-summary-for-cross-disciplinary-teams
【数据与研究】Rewrites technical research content into a structured lay summary that cross-disciplinary teams can quickly understand and act on. Use when the user wants to explain research to colleagues outside their specialty — clinicians, wet-lab scientists, bioinformaticians, product managers, or leadership. Trigger on: "lay summary", "explain my research to th…
scientific-problem-selection
scientific-problem-selection
【数据与研究】This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choos…
scientific-problem-selection
scientific-problem-selection
【数据与研究】This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choos…
why-llms-arent-scientists-yet-lessons-from-four-au
why-llms-arent-scientists-yet-lessons-from-four-au
【数据与研究】Research contribution advancing agent and reasoning capabilities through novel approaches to model development, training, and evaluation.