kolmogorov-arnold-networks-guide
Papers and tutorials on KAN learnable activation networks
Papers and tutorials on KAN learnable activation networks
27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
9 chemistry skills. Trigger: chemical structure analysis, reaction prediction, molecular modeling. Design: computational chemistry tools and cheminformatics workflows.
Survey and paper collection on LLMs for code generation
Guide to software engineering research topics and methodologies
5 ecology & environmental science skills. Trigger: biodiversity surveys, species data, environmental monitoring. Design: field data collection, spatial analysis, and conservation biology workflows.
Psychometrics and educational assessment design for researchers
7 education research skills. Trigger: pedagogical research, course design, learning analytics, assessment. Design: evidence-based teaching methods and educational measurement tools.
5 humanities skills. Trigger: textual analysis, archival research, digital humanities, philosophy. Design: digital tools and qualitative methods for humanities scholarship.
9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools.
6 mathematics skills. Trigger: mathematical proofs, theorem proving, numerical methods, linear algebra. Design: formal verification tools and computational mathematics guides.
6 social science skills. Trigger: survey research, social networks, psychology, behavioral studies. Design: quantitative and qualitative methods for social science research.
9 paper discovery skills. Trigger: finding new relevant papers, tracking citations, staying current. Design: automated monitoring, recommendation engines, and alert setup guides.
24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records.
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.
9 grants & funding skills. Trigger: grant applications, funding search, budget planning, data repositories. Design: funder-specific guides with eligibility, submission requirements, and timelines.
Guide to designing and conducting mixed methods research
13 research methodology skills. Trigger: study design, methodology selection, scientific reasoning, mentoring. Design: rigorous methods frameworks covering qualitative, quantitative, and mixed approaches.
Craft effective point-by-point reviewer response letters
8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools.
7 code execution skills. Trigger: running code, interactive notebooks, Jupyter, Colab, sandboxed execution. Design: execution environment guides with setup instructions and best practices.
9 diagrams & visuals skills. Trigger: creating diagrams, flowcharts, architecture visuals, LaTeX drawings. Design: tool-specific guides (Mermaid, Excalidraw, TikZ) with academic conventions.
9 knowledge graphs skills. Trigger: building knowledge graphs, connecting concepts, ontology design. Design: graph construction, traversal, and visualization for research knowledge.