Claude Skills by brycewang-stanford

Open deep research alternative for private data with vector search

Autonomous agent for comprehensive deep research on any topic

Structured methodology for conducting exhaustive multi-source investigations

AI second brain for deep research and personal knowledge management

Claude Code-driven autonomous AI Scientist for discovery

Survey of LLM agents for biomedical scientific discovery

Deep research agent searching 10+ sources with local or cloud LLMs

Conduct qualitative meta-synthesis and evidence synthesis methods

Open pipeline for generating deep research trajectories with LLMs

Scoping review methodology for broad evidence mapping

Systematic review methodology with PRISMA and evidence synthesis

Open-source deep research agent by Alibaba for scholarly research

9 grants & funding skills. Trigger: grant applications, funding search, budget planning, data repositories. Design: funder-specific guides with eligibility, submission requirements, and timelines.

Navigate EU Horizon Europe funding programs and proposal writing

Research data sharing and repository

Prepare and justify research grant budgets across funding agencies

Write competitive research proposals with clear objectives and budgets

Search NIH-funded grants and research projects via RePORTER API

Search NSF awards and grants with free public API, no auth required

Navigate NSF grant applications, program selection, and strategies

Pre-registration, open data, and FAIR principles for research

Open research repository for all disciplines

13 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches.

Design and conduct action research and participatory studies

Ready-to-use agent skills for scientific research and engineering

Design rigorous experiments using DOE, factorial designs, and response surfaces

Practical advice for thriving in PhD programs and academic research

Apply grounded theory methodology to develop theory from data

Guide to designing and conducting mixed methods research

Access Open Science Framework for preregistrations, preprints, and data

Plan and manage systematic literature reviews with Parsifal platform

Design and conduct qualitative research using grounded theory and case studies

Build a persistent cross-session knowledge base from academic papers

Simulate human research communities with multi-agent AI collaboration

Generate research ideas from collected papers with gap analysis

Tools and pipelines for automating systematic literature reviews

8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools.

AI-assisted peer review tools, workflows, and quality standards

Automate systematic literature reviews with LatteReview AI agents

Structured framework for writing peer review reports and paper critiques

AI-assisted paper reading, PDF Q&A, and summarization workflows

Conduct thorough, constructive peer reviews and evaluate research papers

Write effective rebuttals to reviewer comments for journal submissions

Craft effective point-by-point reviewer response letters

Write literature reviews and survey papers from collected papers

7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.

Run and manage Google Colab notebooks for Python and ML research

Best practices for computational research notebooks with reproducible workflows

Download datasets, manage competitions and notebooks via Kaggle API

Sync and manage Overleaf LaTeX projects from the command line