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Research & Learning skills

Research, academic papers, education, and exam prep (4.4K skills)

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Research industrial AI topics such as predictive maintenance and anomaly detection. Compare papers by methods and publication venues, distinguish preprints from reviewed work, identify conflicting findings and research gaps, or build an evidence-based survey draft.

  • Researching recent predictive maintenance literature
  • Comparing industrial anomaly detection methods and evaluations
  • Identifying research gaps in manufacturing AI
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

data-deposit

FreeSummary

Prepare a research replication package for the sewage-house-prices project, including an AEA-format README, a master script, and a deposit checklist. Map script dependencies and validate ten requirements so others can follow the analysis workflow.

  • Prepare research files for a data deposit
  • Document script dependencies and execution order
  • Trace manuscript tables and figures to their scripts
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

identify

FreeSummary

Design or review how a sewage spill study estimates effects on house prices. Produce a strategy memo covering the target effect, assumptions, estimating equation, implementation outline, robustness checks, falsification tests, and anticipated referee objections.

  • Planning how to estimate sewage spill effects on house prices
  • Reviewing assumptions behind an existing analysis
  • Designing robustness checks and falsification tests
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

paper-audit

FreeSummary

Review Chinese and English academic papers in LaTeX, Typst, or PDF. Get findings tied to specific passages, a prioritized revision roadmap, submission readiness decisions, and comparisons with earlier reviews after revision.

  • Reviewing a manuscript before submission
  • Checking whether submission blockers remain
  • Prioritizing methodological and logical revisions
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

post-acceptance

FreeSummary

Prepare conference slides, academic posters, and research promotion content after paper acceptance. The skill guides talk structure, visual layout, timing practice, anticipated questions, and drafts for Twitter/X, LinkedIn, and a broader-audience blog post.

  • Structure conference slides around the available speaking time
  • Plan an academic poster layout
  • Draft research posts for Twitter/X, LinkedIn, and a blog
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Combine Obsidian notes into literature reviews, comparisons, and project summaries. Keep each synthesis linked to its supporting papers, experiments, results, and research questions, with one lasting note for each purpose.

  • Combine paper notes into a literature review
  • Compare findings across experiments
  • Summarize a project's progress and results
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Develop a broad research interest into evaluated project options. Specialized agents generate ideas, assess feasibility and competition, and draft abstracts and conclusions, helping researchers decide what to pursue, postpone, or drop and which assumption to test first.

  • Turn a broad research interest into project ideas
  • Compare the novelty and feasibility of research proposals
  • Check competing work before choosing a direction
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Turn papers stored in Zotero into detailed Obsidian reading notes, linking claims, methods, evidence, and limitations to a project. Synthesize findings across papers, track note coverage for entire collections, and build a visual literature map.

  • Creating detailed Obsidian notes from Zotero papers
  • Comparing methods and identifying research gaps across papers
  • Checking note coverage for a whole Zotero collection
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Organize paper notes in an Obsidian project vault and synthesize them into lasting literature summaries. It standardizes review sections, tracks collection coverage, connects papers to project knowledge, and refreshes a visual literature map through filesystem operations.

  • Standardizing existing paper notes
  • Importing Zotero papers into an Obsidian vault
  • Summarizing methods and research gaps
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Review an academic paper before submission by checking structure, logical consistency, citations, figures, tables, and writing clarity. A systematic checklist helps identify missing content and issues to address after drafting or revision.

  • Final paper checks before journal or conference submission
  • Systematic review after completing a first draft
  • Self-review before requesting advisor feedback
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

interview-me

FreeSummary

Develop a research idea through a structured conversation, then turn the answers into a written research specification. Clarify the question, testable hypothesis, data needs, methods for assessing cause and effect, expected findings, and feasibility.

  • Turning an early research idea into a concrete plan
  • Exploring a new research direction from scratch
  • Identifying data needs and threats to causal interpretation
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

g1

FreeSummary

Find and compare academic journals using a research abstract, field, and publication priorities. The skill combines topic fit, citation metrics, open access options, and practical considerations into a comparison report, sequential submission plan, and cover letter template.

  • Finding journals that match a research topic
  • Comparing candidate journals side by side
  • Reviewing open access options and publication fees
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

d2

FreeSummary

Plan interviews and focus groups for qualitative research, which explores people’s experiences and views. Develop question guides, follow-up prompts, discussion plans, transcription conventions, and participant review procedures suited to the study.

  • Preparing a semi-structured interview guide
  • Planning focus group discussions
  • Choosing transcription conventions
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

diverga

FreeSummary

View a dashboard for a social science research environment with 24 specialized agents. Check configuration, project stage, human review settings, and connection readiness for paper retrieval services and other research tools.

  • Check research environment configuration
  • Review project stage and human checkpoints
  • Find missing API settings
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

diverga-memory

FreeSummary

Keep research progress, decisions, and pending checkpoints across sessions. Store project context locally, recover essential details when returning, and track why decisions changed so research work can resume with a clear next step.

  • Resuming research after a break
  • Reviewing decisions and their rationale
  • Checking pending research milestones
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

i2

FreeSummary

Screen research papers against a research question using six scoring dimensions. Choose criteria for a broad knowledge collection or a systematic review, then receive inclusion, exclusion, and human-review lists with evidence quotes checked against abstracts.

  • Screen papers for a systematic review
  • Build a broad collection of relevant literature
  • Review and approve inclusion and exclusion criteria
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

d4

FreeSummary

Develop questionnaires and measurement scales for social science research, from drafting questions to planning pilot studies. Organize checks of whether scores measure the intended concept consistently, and prepare scoring guidance and reports.

  • Drafting questionnaire items and response options
  • Planning expert reviews and cognitive interviews
  • Planning factor analysis and reliability checks
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

a2

FreeSummary

Helps build a research framework by comparing theories, mapping relationships between variables, and deriving testable hypotheses. Explores less conventional options, examines weaknesses and competing explanations, and produces diagrams with anticipated reviewer objections.

  • Comparing theories for a research question
  • Deriving hypotheses from relationships between variables
  • Examining weaknesses and anticipated reviewer objections
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

c2

FreeSummary

Compare qualitative research designs for studying experiences, stories, cultures, or developing theory. Receive three options matched to the research question and available resources, plus a plan for participant selection, data collection, analysis, and quality checks.

  • Comparing qualitative research designs
  • Planning participant selection and sample size
  • Designing interview and observation procedures
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

orchestrator

FreeSummary

Coordinate multiple AI agents in Diverga for parallel research, reviews, and methodology comparisons. Manage team creation, progress, and results, or run VS Arena debates where different research perspectives critique recommendations before the user chooses an approach.

  • Comparing research methods from different perspectives
  • Reviewing a methodology section from several angles
  • Retrieving papers from multiple databases in parallel
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

a1

FreeSummary

Turn a broad research idea into clear, testable questions. Compare familiar and less conventional approaches, structure the selected question around its population and methods, and assess variables, feasibility, and potential theoretical contributions.

  • Turn a research topic into testable questions
  • Narrow an overly broad research question
  • Compare alternative research angles
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

help

FreeSummary

Find your way around Diverga with a guide to its 24 research agents across nine categories. View commands, example requests, direct invocation syntax, and checkpoints where people review research decisions, with recommendations based on research context.

  • Explore Diverga's research agents
  • Find commands for setup and diagnostics
  • Choose an agent for a research task
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

a5

FreeSummary

Clarify the philosophical assumptions behind a research project and check whether they fit the proposed methods. Get a reasoned research stance, draft proposal wording, and guidance for explaining how the researcher's background and values shape the study.

  • Clarifying philosophical foundations for a research proposal
  • Explaining why the chosen research methods fit the study
  • Drafting a statement about the researcher's position
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026

Extract statistical values from research PDFs for meta-analysis, which combines results across studies. Track each value’s source and confidence, prioritize review, and manage human corrections and final approval in a shared data structure.

  • Extracting statistics from research PDFs
  • Prioritizing uncertain or conflicting values for review
  • Tracking human corrections and final approval
brycewang-stanford/Auto-Empirical-Research-Skills4.7KUpdated Oct 20, 2026