r-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

Generate natively editable PPTX from PDF / DOCX / URL / Markdown — real DrawingML shapes, text boxes, charts, and animations. Note: run `pip install -r requirements.txt` inside the installed plugin directory for the Python post-processing scripts to work.

1 skill

Connect to preclinical research tools and databases (literature search, genomics analysis, target prioritization) to accelerate early-stage life sciences R&D

6 skills · 11 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

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