stata-analyst

Abductive analysis (Timmermans & Tavory) for theory-generating qualitative research. Theory-first approach with anomaly detection, theoretical casing, and rhetorical abduction for publication.

1 skill

Build bibliographies from manuscript citations by extracting in-text citations, matching them against a references.bib file, identifying issues, and generating a formatted reference list.

1 skill

Develop causal diagrams (DAGs) from social-science research questions and literature, then render publication-ready figures using Mermaid, R, or Python.

1 skill

Pragmatic qualitative analysis for interview data. Supports theory-informed or data-first approaches with systematic coding, quality indicators, and publication-ready synthesis.

1 skill

Build systematic literature databases using OpenAlex API. Phased workflow for search, screening, snowballing, annotation, and synthesis with structured user interaction.

1 skill

Deep reading and synthesis of literature corpus. Theoretical mapping, thematic clustering, and debate identification using local library of markdown-converted papers.

1 skill

Hypothesis testing, A/B experiment analysis, sample size calculation, and confidence intervals. 3 stdlib-only Python tools: Z-test/t-test/chi-square with effect sizes, sample size calculator with power tradeoffs, and Wilson score confidence intervals.

1 skill

Nine-skill stack for top-5 economics manuscripts (AER / AER: Insights / AEJ): topic selection, modern causal identification (DiD / IV / RDD / SCM / Bartik), referee-anticipating robustness, Keith-Head-style introductions, AER booktabs tables, AEA Data and Code Availability deposits (openICPSR-ready), submission preflight, and R&R rebuttal letters. Ships Stata / R / Python templates and classic-AER-paper exemplars.

15 skills

WooYun business logic vulnerability methodology — a security testing knowledge plugin distilled from 22,132 public cases, adding evidence-based references, quantitative statistics, and data-driven prioritization.

1 skill

Verifies factual claims in documents using web search and official sources, then proposes corrections with user confirmation. Use when the user asks to fact-check, verify information, validate claims, check accuracy, or update outdated information in documents. Supports AI model specs, technical documentation, statistics, and general factual statements

1 skill

Eighteen-skill bundle covering the 《经济研究》 manuscript lifecycle: workflow router, topic selection, introduction, literature review, theory & hypotheses, data & sample, modern identification (DID/IV/RDD/DML), mechanism (post-江艇 2022), heterogeneity, robustness, tables / figures, policy implications, abstract, house style, reviewer-lens self-audit, reproducibility, submission preflight, and R&R rebuttal — plus a runnable Stata + Python code library.

18 skills

Antenna Toolbox, Mixed-Signal Blockset, RF Blockset, RF PCB Toolbox, RF Toolbox, SerDes Toolbox, Signal Integrity Toolbox, Signal Processing Toolbox, and Statistics and Machine Learning Toolbox.

21 skills