Search EU-funded research outputs via the OpenAIRE Graph API
원문 언어: 영어
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이 저장소의 skills
SkillsMP는 brycewang-stanford/Auto-Empirical-Research-Skills에서 1,111개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
brycewang-stanford/Auto-Empirical-Research-Skills수집된 skill 1,111개 중 40개를 표시합니다.
Search EU-funded research outputs via the OpenAIRE Graph API
원문 언어: 영어
Query the OpenAlex catalog of scholarly works, authors, and institutions
원문 언어: 영어
Search PLOS open access journals with full-text Solr-powered API
원문 언어: 영어
Search biomedical literature and retrieve records via PubMed E-utilities
원문 언어: 영어
Access Latin American and developing world research via SciELO API
원문 언어: 영어
Search papers and analyze citation graphs via OpenAlex and CrossRef APIs
원문 언어: 영어
Discover open access research outputs via the SHARE notification API
원문 언어: 영어
31 database search skills. Trigger: finding papers, search strategies, querying academic databases. Design: one skill per database/tool with API details, query syntax, and rate limits.
원문 언어: 영어
Construct rigorous systematic search strategies for literature reviews
원문 언어: 영어
Search the world's largest library catalog via OCLC WorldCat API
원문 언어: 영어
Automated scientific discovery via agentic tree search by Sakana AI
원문 언어: 영어
Track and compare research experiments with Aim experiment tracker
원문 언어: 영어
Claude Code template for LaTeX, Beamer, and R research workflows
원문 언어: 영어
Automate survey deployment, data collection, and pipeline management
원문 언어: 영어
AI-driven multi-agent research assistant for end-to-end studies
원문 언어: 영어
Build reproducible data science pipelines with Kedro for research projects
원문 언어: 영어
Intelligent companion for ML engineering with arXiv integration
원문 언어: 영어
Transform research papers into interactive AI agents for exploration
원문 언어: 영어
Microsoft AI-driven R&D agent for automated data and model development
원문 언어: 영어
Automate repetitive research tasks with pipelines, schedulers, and scripting
원문 언어: 영어
10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools.
원문 언어: 영어
Automated deep research tool for thorough topic investigation
원문 언어: 영어
Open deep research alternative for private data with vector search
원문 언어: 영어
Autonomous agent for comprehensive deep research on any topic
원문 언어: 영어
Structured methodology for conducting exhaustive multi-source investigations
원문 언어: 영어
AI second brain for deep research and personal knowledge management
원문 언어: 영어
Claude Code-driven autonomous AI Scientist for discovery
원문 언어: 영어
Survey of LLM agents for biomedical scientific discovery
원문 언어: 영어
Deep research agent searching 10+ sources with local or cloud LLMs
원문 언어: 영어
Conduct qualitative meta-synthesis and evidence synthesis methods
원문 언어: 영어
Open pipeline for generating deep research trajectories with LLMs
원문 언어: 영어
Scoping review methodology for broad evidence mapping
원문 언어: 영어
13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading.
원문 언어: 영어
Systematic review methodology with PRISMA and evidence synthesis
원문 언어: 영어
Open-source deep research agent by Alibaba for scholarly research
원문 언어: 영어
Navigate EU Horizon Europe funding programs and proposal writing
원문 언어: 영어
Research data sharing and repository
원문 언어: 영어
Prepare and justify research grant budgets across funding agencies
원문 언어: 영어
Write competitive research proposals with clear objectives and budgets
원문 언어: 영어
Search NIH-funded grants and research projects via RePORTER API
원문 언어: 영어