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skills
skills contém 6 skills coletadas de thinkingwithagents, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Generate or redesign academic Beamer slide decks that are clear, visually polished, compile-safe, and optimized for live presentation. Transforms existing slides or raw materials into a structured, well-paced, and professional presentation with robust layout and consistent visual design. Use this skill whenever the user mentions creating slides, beamer presentations, redesigning slides, improving slides, academic talk slides, conference presentations, seminar slides, making slides from tex, or fixing beamer slides -- even if they don't explicitly say "Beamer." Accepts .tex files, figures, and talk context (audience, length, venue, purpose) as inputs. Produces a compile-ready .tex file, organized figures folder, and presentation-ready deck as output.
Help researchers identify and catalog relevant datasets for empirical research. Use this skill whenever a user asks to find data, locate datasets, identify data sources, or asks "what data exists for...", "where can I get data on...", "is there a dataset that...", or similar. Also trigger when the user describes a research question and needs to know what data could support it, asks about data availability for a particular topic or geography, wants to compare data sources, or mentions needing panel data, cross-sectional data, or time-series data for a project. Trigger on mentions of "find data", "data search", "dataset", "data source", "microdata", "administrative data", "survey data", "public-use data", "restricted data", or when the user specifies parameters like time windows, geographic levels, or data frequency in the context of research. Also trigger when the user asks for help downloading, scraping, or structuring a dataset that has been identified.
Brainstorm and stress-test research ideas as a senior scholar colleague would. Runs a multi-turn dialogue that clarifies the seed question (or generates one from cold start), probes it conversationally, launches a parallel deep literature scan across published and working-paper sources, critiques the question adversarially, generates 2–3 alternative framings, assesses feasibility (delegating to the find-data skill when available), and writes a research brief to the working directory. Trigger when the user asks to brainstorm a research idea, stress-test a research question, workshop a project, develop a new paper idea, assess novelty of a question, evaluate whether an idea is worth pursuing, refine a research direction, or check whether an idea clears a top-journal bar. Also trigger on phrases like "brainstorm with me", "is this novel", "has anyone done this", "what should I work on", "help me think through this idea", "workshop this question", "stress-test this", "poke holes in this", "new research idea", "re
Structured code review for research code (Stata, R, Python) against DIME, Gentzkow-Shapiro, AEA, and IPA standards — catches silent failures, reproducibility risks, and style issues
Adversarial data pipeline review — audits variable construction, sample restrictions, and analytical decisions against pre-analysis plans
Adversarial paper review simulating a skeptical referee — checks identification, statistical claims, robustness, and presentation against real referee patterns