Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Summarize a long PDF, scan, office file, text file, or markdown file through the connected Superlinked MCP edge instead of reading the whole source into model context. Use when the user asks for a summary, overview, digest, or "what does this document say" about a large file.
Offload document, image, and structured-output work to the Superlinked inference cluster: convert PDF/DOCX/PPTX/XLSX/HTML/scans to clean markdown, describe an image (caption + tags), or produce schema/grammar-constrained JSON off the cluster — instead of ingesting the file directly, which can reduce the tokens billed in many cases for document- and image-heavy work. Use whenever the user drops or references a document or image file to read, summarize, extract from, describe, or answer questions over, or when they need reliable structured (schema-valid) output.
Design document writing conventions. Use when writing or reviewing technical design documents.
Get feedback from Gemini API on a diagram image for textbook quality review.
Start or verify live preview for RLHF Book course lecture slides without breaking relative image assets. Use when serving, opening, checking, or debugging `teach/course/lec*.md` slides.
Read and inspect .NET assembly stores from Android APK, AAB, or raw store files. Use this when users want to inspect, examine, or list assemblies in an APK, AAB, assembly store, or manifest file.
Audit and update the THIRD-PARTY-NOTICES.TXT file. Use when the user asks to "update TPNs", "audit third-party notices", "check third-party licenses", or after adding/removing a dependency. Scans submodules, vendored code, NuGet packages, and native libraries to ensure the TPN file is complete and accurate.
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.
Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. This is the default poster skill for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices. For editable PowerPoint output, use pptx-posters (HTML/CSS-based) or poster-presentation (python-pptx-based) instead.
Create scientific conference posters as native, editable .pptx files using python-pptx. Handles A0/A1 layouts, section placement, figure insertion, and academic color schemes. Exports editable .pptx and PDF. Use when the user wants a directly editable PowerPoint poster; for HTML/CSS-based posters exported to PDF/PPTX use pptx-posters, and for standard LaTeX posters use latex-posters.