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SkillsMP는 franklee16/academic-research-skills에서 69개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 69개 중 40개를 표시합니다.
Structured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Follows scientific method framework.…
원문 언어: 영어
Transforms raw user requests into structured, outcome-focused prompts for Claude Cowork. Use when the user wants to optimize or rewrite a prompt for Cowork, needs help structuring a multi-step task for autonomous execution, or says things like "optimize this…
원문 언어: 영어
This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select research method",…
원문 언어: 영어
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific…
원문 언어: 영어
Comprehensive citation management for academic research. Search Google Scholar and PubMed for papers, extract accurate metadata, validate citations, and generate properly formatted BibTeX entries. This skill should be used when you need to find papers, verify…
원문 언어: 영어
Match a pasted list of academic references against the Crossref REST API and produce a four-column markdown table (original, matched, confidence, flags) with canonical APA citations and DOIs. Use whenever the user pastes a bibliography or reference list and…
원문 언어: 영어
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
원문 언어: 영어
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file…
원문 언어: 영어
Panel data analysis with Python using linearmodels and pandas.
원문 언어: 영어
R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.
원문 언어: 영어
Run IV, DiD, and RDD analyses in R with proper diagnostics
원문 언어: 영어
Analyzes events through sociological lens using social structures, institutions, stratification, culture, norms, collective behavior, and multiple theoretical perspectives (functionalist, conflict, symbolic interactionist). Provides insights on social…
원문 언어: 영어
STATA code pattern library for empirical archival accounting research. Provides tested syntax from 126 peer-reviewed JAR (Journal of Accounting Research) replication files (2017-2025). Use when the user asks procedural questions like "How do I implement…
원문 언어: 영어
Stata statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in Stata for academic papers.
원문 언어: 영어
Clean and transform messy data in Stata with reproducible workflows
원문 언어: 영어
Run regression analyses in Stata with publication-ready output tables.
원문 언어: 영어
Use when writing, running, or debugging Stata code, do files, ado files, packages, or Mata programs in this environment. Use when loading Stata datasets, running regressions, managing data, developing Stata commands or packages, or working with Stata/Mata…
원문 언어: 영어
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 17+ community packages (reghdfe, estout, did, rdrobust, etc.). Covers syntax, options, gotchas, and idiomatic…
원문 언어: 영어
Agent-native one-stop toolkit for the full empirical data-analysis pipeline in Python (v1.6+). 900+ functions, one import (`import statspai as sp`), unified API. Covers the complete loop after data cleaning — descriptive stats & EDA (sp.sumstats,…
원문 언어: 영어
Fetch economic data from FRED, World Bank, and other APIs
원문 언어: 영어
Skill for accessing, downloading, and parsing financial filings from the SEC EDGAR database. Helps users retrieve 10-K, 10-Q, 8-K, and other forms using the SEC's JSON API.
원문 언어: 영어
Write competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission requirements.
원문 언어: 영어
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native…
원문 언어: 영어
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
원문 언어: 영어
Comprehensive research assistant that synthesizes information from multiple sources with citations. Use when: conducting in-depth research, gathering sources, writing research summaries, analyzing topics from multiple perspectives, or when user mentions…
원문 언어: 영어
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
원문 언어: 영어
Conduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.
원문 언어: 영어
对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。
원문 언어: 중국어
Search, summarize, and synthesize economics literature
원문 언어: 영어
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or…
원문 언어: 영어
Create Excalidraw diagram JSON files that make visual arguments. Use when the user wants to visualize workflows, architectures, or concepts.
원문 언어: 영어
Create Harvard Business School-style case studies on financial market events, products, or investment decisions. Use when the user wants to write a teaching case about a financial event, market phenomenon, investment product, or corporate decision. Triggers…
원문 언어: 영어
Universal LaTeX document skill: create, compile, and convert any document to professional PDF with PNG previews. Supports resumes, reports, cover letters, invoices, academic papers, theses/dissertations, academic CVs, presentations (Beamer), scientific…
원문 언어: 영어
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration,…
원문 언어: 영어
Generate publication-ready regression tables in LaTeX.
원문 언어: 영어
Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with…
원문 언어: 영어
This skill should be used when converting academic papers into promotional and presentation formats including interactive websites (Paper2Web), presentation videos (Paper2Video), and conference posters (Paper2Poster). Use this skill for tasks involving paper…
원문 언어: 영어
Socratic method teaching skill that guides users to discover answers themselves through questioning, never giving direct answers. TRIGGER when: user's message contains 'socratic', 'Socrates', or '소크라테스'. Works with any knowledge asset — codebases, markdown…
원문 언어: 영어
Systematic pre-submission consistency audit for academic manuscripts in accounting/finance. Performs exhaustive checks across 10 categories: cross-references (tables, figures, equations, citations), table/figure consistency, variable definitions, sample…
원문 언어: 영어
Systematic fact verification and misinformation identification using evidence-based analysis. Use when: verifying claims, checking facts, identifying misinformation, evaluating source credibility, or when user asks to "fact check", "verify", "is this true",…
원문 언어: 영어