Research, academic papers, education, and exam prep (4.4K skills)
Parse web pages and authorized local documents, audio, or video with Cue Omni Reader. Use the complete results to summarize content, answer questions, locate sections, or save the parsed output.
Create a concise exam review from supplied notes or PDFs and a syllabus. Get topic definitions, key points, answer examples or multiple-choice cues, and practice questions, with priorities adjusted to the time available.
Create low-pressure review questions that help learners recall and apply what they studied. Use supplied materials to produce questions, grounded answer notes, and a short plan for checking answers, correcting mistakes, and revisiting weak areas.
Choose two or three study methods that fit the subject, learning goal, assessment, and available time. Get concrete activities, ways to check progress, and a workable schedule that can change when difficulties arise.
Answer questions about dsh-tui using its bundled manuals. Find relevant guidance on installation, shortcuts, configuration, themes, session migration, and VS Code integration, then cite the source file and section for checking.
Practice one programming concept through a small exercise matched to your goals, experience, and available time. Get feedback based on observable results, with hints or explained solutions and a harder variation when you are ready.
Research a question using original sources such as official documentation, source code, and specifications. A background agent records findings with sources for each claim and saves a Markdown note following the repository’s existing conventions.
Create short HTML lessons and interactive practice tailored to learning goals and prior progress. Keep learning records, trusted resources, and quick reference materials so study can continue across sessions with exercises designed for long-term retention.
Turn a course plan into numbered exercise folders with starter readmes for problems, solutions, and explanations. Check the structure with the specified lint command, fix errors, and handle exercise moves or renaming while preserving Git history.
Work with crystal structures in Python: convert files, analyze symmetry, assess material stability, and examine electronic properties. Retrieve Materials Project data and prepare input files for materials calculations, with scripts for common analysis tasks.
Prepare scientific figures for journal submission with consistent panel layouts, error bars showing uncertainty, statistical significance labels, and accessible colors. Use matplotlib, seaborn, or plotly to adjust figure dimensions and export publication formats.
Find academic papers through Google Scholar and PubMed, retrieve publication details from identifiers, and build BibTeX reference files. Check author and publication information, detect duplicates, and standardize formatting before using references in a manuscript.
Simulate quantum systems in Python with QuTiP, including open systems that interact with their surroundings. Calculate time evolution, energy loss, and entanglement, then visualize states and results for physics research or educational experiments.
Use SymPy in Python to solve equations, simplify formulas, calculate derivatives and integrals, and work with matrices. Keep exact results such as fractions and square roots, then turn expressions into executable code or LaTeX.
Develop and check research code in MATLAB/Octave or Python for signal processing, image analysis, statistics, and simulations. This skill supports reproducible workflows, checks units and assumptions, and prepares figures for papers and presentations.
Search multiple academic databases, screen studies against documented criteria, and compare findings by theme. Produce literature reviews in Markdown and PDF with study quality assessments, verified citation details, and diagrams explaining the review process or findings.
Search ten academic databases for papers, preprints, author publications, and citation links. Look up specific papers by DOI, a paper identifier, and find abstracts, available full text, or openly accessible PDF links.
Turn a topic into a simple HTML explainer with large pictures and few words. It is designed for readers with no prior knowledge who want a basic visual explanation of how something works.
Combine Obsidian notes into literature reviews, comparisons, and project summaries. Keep each synthesis linked to its supporting papers, experiments, results, and research questions, with one lasting note for each purpose.
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.
Turn reviewer comments into a structured response document. The skill classifies concerns, suggests whether to revise, defend, clarify, or experiment, and drafts evidence-based replies while checking completeness, professional tone, and respectful wording.
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.
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.
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.