Organize research project knowledge in an Obsidian vault, a folder of notes. Summarize existing repository materials, maintain paper, experiment, result, and writing notes, and synchronize daily progress without MCP or API keys.
中文简介正在准备中。当前显示英语简介。
- Import existing research materials into Obsidian as summaries
- Keep daily progress and project memory synchronized
- Connect paper notes with experiments, results, and writing
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
Learn from top Kaggle solutions across text, images, time series, tabular data, and multimodal tasks that combine data types. Explore technical analyses, model settings, reusable code templates, and practical lessons to inform machine learning projects.
中文简介正在准备中。当前显示英语简介。
- Study top solutions for a Kaggle competition
- Find proven methods for a machine learning task
- Explore reusable machine learning code templates
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026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☆ 47292026年10月20日 更新
Coordinate research from question development through literature searches, analysis, and publication with specialized agents. Supports quantitative, qualitative, and mixed methods studies, plus systematic reviews, with human approval at key decisions about research direction and methods.
中文简介正在准备中。当前显示英语简介。
- Refining research questions and choosing a theoretical framework
- Planning a systematic review and approving screening criteria
- Designing a qualitative study using interviews
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
Prepare research papers for RAG, a method that supplies retrieved documents to AI. Download PDFs, extract and split text, and build a local searchable database, with parallel processing for document batches.
中文简介正在准备中。当前显示英语简介。
- Build a RAG document collection from selected research papers
- Download and extract text from batches of paper PDFs
- Create a local vector database without paid embedding APIs
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Comparing qualitative research designs
- Planning participant selection and sample size
- Designing interview and observation procedures
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026年10月20日 更新
Create and edit .canvas files for visual planning in tools such as Obsidian. Arrange text, files, and links into mind maps or flowcharts, connect related items, and check that the file structure remains valid.
中文简介正在准备中。当前显示英语简介。
- Organizing ideas into a mind map
- Mapping a workflow as a flowchart
- Grouping research notes and links
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026年10月20日 更新
Combine interview themes and numerical findings into comparison tables and integrated conclusions. The skill helps select an integration approach, explain agreements and contradictions, and assess whether conclusions are supported by both kinds of evidence.
中文简介正在准备中。当前显示英语简介。
- Compare survey results with interview themes
- Develop survey items from interview findings
- Explain conflicting qualitative and quantitative findings
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Extracting statistics from research PDFs
- Prioritizing uncertain or conflicting values for review
- Tracking human corrections and final approval
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026年10月20日 更新
Plan quantitative research by comparing experiments and surveys against research goals and resource limits. Get design recommendations, sample size calculations, participant recruitment strategies, and experimental materials, with an assessment of factors that could distort results.
中文简介正在准备中。当前显示英语简介。
- Compare experimental and survey designs
- Estimate the number of participants needed
- Plan participant sampling and recruitment
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026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☆ 47292026年10月20日 更新
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☆ 47292026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Resuming research after a break
- Reviewing decisions and their rationale
- Checking pending research milestones
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
Configure a terminal status display for Diverga research projects. Show the project name, research stage, checkpoint progress, and memory health, choose among four display presets, and set up or repair the Claude Code integration.
中文简介正在准备中。当前显示英语简介。
- Monitor research progress in the terminal
- Show detailed checkpoint completion status
- Focus the display on memory and context health
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
Coordinate a seven-stage literature review, from defining a research question to collecting and screening papers, building a searchable knowledge database, and producing PRISMA documentation. Specialized agents handle execution, with human approval at key decisions.
中文简介正在准备中。当前显示英语简介。
- Managing a systematic literature review
- Building a research knowledge repository
- Tracking approval of paper selection criteria
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Check research environment configuration
- Review project stage and human checkpoints
- Find missing API settings
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026年10月20日 更新
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.
中文简介正在准备中。当前显示英语简介。
- Drafting questionnaire items and response options
- Planning expert reviews and cognitive interviews
- Planning factor analysis and reliability checks
brycewang-stanford/Auto-Empirical-Research-Skills☆ 47292026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☆ 47292026年10月20日 更新