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-Skills☆ 4.7KUpdated 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-Skills☆ 4.7KUpdated Oct 20, 2026
Create and edit Obsidian Markdown notes with links between notes, embedded images and PDFs, highlighted callout boxes, tags, and properties. Use Obsidian-specific formatting to connect related material and organize information within notes.
- Connect related notes and specific sections with internal links
- Embed notes, images, and PDF pages
- Highlight warnings and key points with callout boxes
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Turn a broad UI request into concrete design rules for colors, typography, layout, and interactions. The skill provides accessibility checks and implementation guidance for the chosen framework, with saved design notes to keep multiple pages consistent.
- Define a design direction for a landing page
- Choose dashboard colors and typography
- Review UI accessibility and interactions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Manage the lifecycle of an Obsidian project knowledge base by stopping sync, archiving content, or permanently deleting it on explicit request. It also handles individual note archiving, deletion, and renaming with link repair, then summarizes the resulting state.
- Stopping project sync while keeping notes
- Moving a finished project's knowledge into Archive/
- Permanently deleting explicitly selected project knowledge
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Audit causal inference in a sewage and house prices study by comparing manuscript claims with R code. Review design assumptions, statistical uncertainty, and robustness, then produce a prioritized report with concrete fixes.
- Comparing manuscript methods with R analysis code
- Auditing assumptions behind causal inference
- Checking standard errors and multiple testing
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated 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-Skills☆ 4.7KUpdated Oct 20, 2026
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.
- 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☆ 4.7KUpdated Oct 20, 2026
Apply improvement plans from skill-quality-reviewer to Claude Skills. Groups edits by file, handles conflicting recommendations by priority, backs up originals, and verifies the updates before producing a report of changes and verification results.
- Applying recommended fixes from a skill quality review
- Updating SKILL.md and reference files from a plan
- Resolving conflicting improvement recommendations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Create and edit Obsidian Bases files to organize notes into tables, cards, lists, or maps. Configure filters, calculated properties, grouping, and summaries to build task trackers, reading lists, and indexes of daily notes.
- Building a task table with due dates and progress
- Organizing books and articles into a reading list
- Creating an index of daily notes
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Turn completed experiment analyses into an internal research report that explains findings, figures, limitations, and next actions. Reports connect evidence to decisions and can be saved locally or written into a linked Obsidian project.
- Write a wrap-up report from completed experiment analyses
- Explain figures and their implications for research decisions
- Record negative results, limitations, and next actions
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Repair navigation between existing Obsidian project notes by improving meaningful links among papers, experiments, results, and writing. Keep references connected to the main note for each subject while avoiding unnecessary extra notes and excessive linking.
- Repairing links between existing project notes
- Connecting paper notes with experiments and results
- Finding the best existing note for a new reference
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Create and organize Claude Code plugins with guidance on configuration files, commands, agents, skills, hooks, and MCP servers. Learn where components belong, how automatic loading works, and how to reference files across different installation locations.
- Create the directory structure for a new plugin
- Organize commands, agents, skills, and hooks
- Make file references work across installation locations
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Analyze ML and AI experiment data with statistical tests, effect sizes, confidence intervals, and figures. The skill validates comparisons and produces an analysis report, statistical appendix, and figure catalog while identifying missing evidence and limitations.
- Compare model performance across repeated experiment runs
- Measure the effects of removing or changing model components
- Generate comparison charts and training curves from real data
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Create Beamer slides from a paper on sewage spills, house prices, and rents in England. A creator and critic pair builds and reviews four talk formats, checking narrative, readability, compilation, and consistency with the paper.
- Preparing a job market talk from the research paper
- Building a seminar deck centered on the main findings
- Condensing the paper into a short or lightning talk
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
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-Skills☆ 4.7KUpdated Oct 20, 2026
Inspect a running website at different screen sizes to find layout problems, inconsistent styling, and accessibility issues such as poor contrast. Fix the relevant source code, recheck the results, and report changes with before-and-after screenshots.
- Finding and fixing broken mobile layouts
- Reviewing spacing, fonts, and color consistency
- Checking contrast and keyboard focus visibility
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Turn a research interest into a defined question and practical plan. Use structured brainstorming, literature review, gap analysis, and method comparison to produce a research proposal, organized review, and references, with Zotero support for paper management.
- Develop a research topic using 5W1H
- Organize literature and identify unanswered questions
- Compare research methods and required resources
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Checks code changes before a pull request by reviewing builds, types, coding rules, tests, potential secrets, and changed files. Produces a report showing results, test coverage, and issues that need fixing.
- Checking changes before opening a pull request
- Verifying a completed feature
- Reviewing code after refactoring
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
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-Skills☆ 4.7KUpdated Oct 20, 2026
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-Skills☆ 4.7KUpdated Oct 20, 2026
Write and review R analysis scripts for a sewage research project using its established conventions. Estimate requested regression models, add specifications, and save LaTeX tables, figures, and model objects for use in the research paper.
- Estimate models of sewage spills and property prices
- Add specifications to an existing regression analysis
- Create descriptive plots and maps
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated Oct 20, 2026
Set up Python projects and manage packages, isolated environments, and Python versions with uv. Includes migration guidance and lockfiles that record dependency versions, plus workflows for consistent installations in CI and Docker.
- Setting up a new Python project
- Migrating from pip or Poetry to uv
- Keeping dependency versions consistent across environments
brycewang-stanford/Auto-Empirical-Research-Skills☆ 4.7KUpdated 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-Skills☆ 4.7KUpdated Oct 20, 2026