Choose quantitative or qualitative methods that fit a research question and dataset. Compare alternatives, check assumptions, generate analysis code, interpret results, and examine sensitivity, meaning how conclusions change under different analytical choices.
中文简介正在准备中。当前显示英语简介。
- Choosing methods for a research question
- Generating analysis code in R or Python
- Planning theme identification in interview data
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Prepare conference LaTeX template archives for writing in Overleaf. The skill identifies the main file and dependencies, proposes cleanup for approval, and organizes sections, resources, and a README with submission and compilation guidance.
中文简介正在准备中。当前显示英语简介。
- Prepare a conference template for Overleaf
- Remove sample text and reorganize template files
- Separate paper sections into individual files
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Coordinate meta-analysis, which combines results across studies, from data extraction to reporting. Validate effect sizes, check for duplicates and implausible values, and assess how individual studies or publication bias affect the combined result.
中文简介正在准备中。当前显示英语简介。
- Validate effect sizes extracted from research papers
- Check duplicate studies and dependent results
- Assess how individual studies affect pooled results
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Explore Diverga's research agents
- Find commands for setup and diagnostics
- Choose an agent for a research task
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Find recent arXiv papers on EEG, or brainwave, decoding and brain-computer interfaces. Evaluate candidates using five quality criteria, select the top three, and save structured Chinese and English reviews with paper metadata as Markdown files.
中文简介正在准备中。当前显示英语简介。
- Tracking recent EEG decoding papers
- Finding research on speech decoding from EEG
- Comparing brain foundation model papers
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Assess study quality and risk of bias, meaning systematic distortions in research results. Choose assessment tools suited to the study and review purpose, document judgment rationales, and summarize evidence certainty and recommendations for use in further analysis.
中文简介正在准备中。当前显示英语简介。
- Appraising studies included in a systematic review
- Checking study quality before a meta-analysis
- Assessing evidence certainty with GRADE
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Diagnose a Diverga installation by checking plugin registration, skill and cache synchronization, hooks, configuration, API key setup, and research project state. Receive pass, warning, or error results with suggested repair commands, without modifying files.
中文简介正在准备中。当前显示英语简介。
- Diagnose Diverga setup problems
- Check skill synchronization and stale plugin caches
- Verify hook execution and configuration
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Build Claude Code plugin hooks: automated checks triggered by tool use or session events. Get guidance on prompt and command hooks for validating actions, checking task completion, loading context, and testing configurations.
中文简介正在准备中。当前显示英语简介。
- Checking dangerous commands before execution
- Verifying completion before the agent stops
- Loading project context when a session starts
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Check academic references for existence, accurate publication details, and support for cited claims. Provides a writing-time verification workflow using WebSearch and Google Scholar, including BibTeX retrieval and clear handling of references that cannot be verified.
中文简介正在准备中。当前显示英语简介。
- Checking references suggested by AI
- Matching authors, titles, years, and publication venues
- Confirming that a paper supports a cited claim
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Create reusable slash commands for Claude Code, turning recurring prompts into Markdown workflows. Covers arguments, file references, tool permissions, shell commands, and command organization, with examples for code review, testing, documentation, and plugin integration.
中文简介正在准备中。当前显示英语简介。
- Turning recurring code reviews into a reusable command
- Creating commands that accept file paths or PR numbers
- Sharing project-specific commands with a team
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Comparing theories for a research question
- Deriving hypotheses from relationships between variables
- Examining weaknesses and anticipated reviewer objections
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Review academic drafts for exaggerated claims, vague attribution, repetitive wording, and other style issues. Produces prioritized findings, section-level assessments, and revision recommendations, with additional checks for LaTeX syntax problems that can disrupt document export.
中文简介正在准备中。当前显示英语简介。
- Reviewing manuscript style before journal submission
- Checking AI-assisted drafts for formulaic wording
- Assessing abstracts and reviewer response letters
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- 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-Skills☆ 47112026年10月20日 更新
Guide team Git work with consistent commit messages, branch naming, and review practices. Follow concrete steps for everyday development, urgent fixes, releases, merge conflicts, and version tags, including guidance on when to use merge or rebase.
中文简介正在准备中。当前显示英语简介。
- Write commit messages using Conventional Commits
- Organize branches and Pull Request reviews
- Resolve conflicts during merge or rebase
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Preparing a semi-structured interview guide
- Planning focus group discussions
- Choosing transcription conventions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Set up Diverga through an interactive researcher profile wizard. It records your discipline, experience, statistical tools, database access, and collaboration preferences, then saves configuration that guides explanations, code suggestions, and database recommendations.
中文简介正在准备中。当前显示英语简介。
- Setting up a Diverga researcher profile
- Updating statistical software preferences
- Recording available academic databases
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Create and configure Claude Code agents using Markdown files with YAML configuration headers. Define when each agent should run, write its responsibilities and workflow, choose models and tools, and check configuration and triggering behavior.
中文简介正在准备中。当前显示英语简介。
- Create a Claude Code subagent
- Define triggering conditions with concrete examples
- Configure an agent's model, color, and tools
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Turn a research topic into testable questions
- Narrow an overly broad research question
- Compare alternative research angles
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Add datasets, models, and other components to machine learning projects using consistent registration and creation patterns. The skill guides file placement, configuration, and automatic module loading so new components fit the project's established architecture.
中文简介正在准备中。当前显示英语简介。
- Adding a registered Dataset class
- Creating a model driven by configuration
- Wiring registration and creation logic in a new module
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Compare original and rewritten academic text to check that citations, statistics, and core claims remain intact. Receive a report covering writing quality, scholarly tone, and whether the changes should be approved, reviewed, or rejected.
中文简介正在准备中。当前显示英语简介。
- Check citations after rewriting academic text
- Compare statistical values before and after editing
- Review changes to claims and conclusions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Co-write proposals, technical specifications, and decision documents through context gathering, section-by-section drafting, and revision. A fresh AI reader then tests the document to reveal unclear explanations, missing context, and contradictions before it is shared.
中文简介正在准备中。当前显示英语简介。
- Drafting a proposal through discussion
- Organizing the structure of a technical specification
- Writing a document that explains a decision
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- 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-Skills☆ 47112026年10月20日 更新
Build web pages, application interfaces, and components with a clear visual direction suited to their purpose and audience. It turns design choices about typography, color, layout, and motion into working frontend code with consistent visual details.
中文简介正在准备中。当前显示英语简介。
- Building a landing page with a clear visual direction
- Designing and implementing a dashboard
- Creating styled React components
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新
Apply a compact checklist to everyday code changes. Read existing files first, keep edits focused, check types and security, verify execution, remove debugging leftovers, and summarize what changed and its impact.
中文简介正在准备中。当前显示英语简介。
- Implement a new feature with a consistent coding checklist
- Keep changes to existing code focused on the requested task
- Check types and security while writing code
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47112026年10月20日 更新