Skill UI

Facilitates structured multi-perspective deliberation by simulating distinct thinking archetypes to surface tensions, risks, and actionable synthesis for difficult decisions, trade-offs, creative problems, and strategic choices.

A structured system designed to extract the cognitive fingerprint of any text's author. Utilizing the DHDNA framework, it analyzes 12 dimensions—such as Analytical Depth, Emotional Processing, and Strategic Thinking—to provide deep insights into the author's unique reasoning patterns, decision-making style, and overall cognitive signature. Ideal for content analysis, psychological profiling, and understanding underlying thought processes.

This skill provides the official Opentrons Protocol API v2 for automating complex lab protocols on Flex and OT-2 robots. It allows precise control over liquid handling operations (aspirate, dispense, transfer), managing various hardware modules (temperature, magnetic), and organizing labware configurations. Ideal for developing production-grade, reproducible, and efficient automated scientific workflows.

PrimeKG is a comprehensive knowledge graph integrating over 20 primary databases to map complex biological relationships. It allows users to query multiscale data, including genes, drugs, diseases, and phenotypes. Ideal for drug discovery, identifying repurposing opportunities, and analyzing deep disease contexts in network pharmacology.

PyOpenMS is a comprehensive platform providing Python bindings to the OpenMS library. It is designed for advanced mass spectrometry data analysis, supporting entire proteomics and metabolomics workflows. Key capabilities include handling diverse file formats (mzML, mzXML), signal processing, robust feature detection, and precise peptide/protein identification. It is ideal for quantitative biological research, allowing users to process complex LC-MS/MS pipelines.

scVelo is a leading Python package for analyzing RNA velocity in single-cell RNA-seq data. It infers cell state transitions and developmental trajectories by modeling the kinetics of mRNA splicing (unspliced/spliced ratios). This allows researchers to determine cell fate decisions, predict differentiation paths, and identify driver genes without requiring time-course experiments. It complements tools like Scanpy for comprehensive analysis.

SymPy is a powerful Python library designed for symbolic mathematics. Unlike numerical libraries, it allows for exact computation using mathematical symbols, enabling precise solutions for algebra, calculus (derivatives, integrals), linear algebra, and solving complex equations. This tool is ideal for academic research, physics modeling, and advanced scientific computing requiring non-approximate results. It also supports code generation in various languages.

This skill generates concise, evidence-based medical treatment plans in professional LaTeX/PDF formats for all clinical specialties. It supports chronic disease management, mental health care, and perioperative protocols. Plans are highly actionable, adhering to HIPAA regulations, and crucially, require the integration of mandatory AI-generated scientific schematics for superior visualization and clarity.

This skill provides a structured framework for running multi-branch "What-If" scenario analyses. Instead of predicting a single outcome, it maps the full possibility space by exploring 4-6 distinct branches (e.g., Best Case, Worst Case, Wild Card, Contrarian). It is ideal for strategic planning, risk mapping, contingency development, and stress-testing complex decisions before committing resources.

This skill guides AI agents to handle complex technical tasks with maximum precision and minimal computational overhead. It implements adaptive verbosity rules, sophisticated input filtering (for logs, source files, VCS, and payloads), and surgical output generation. It ensures context-window awareness, structured reasoning, and adherence to best practices for coding, debugging, and architecture analysis.

Access 78 public REST APIs spanning biomedical, materials science, physics, environment, and economics. This skill allows users to query vast datasets for compounds, genes, proteins, patents, and economic indicators by selecting the relevant database and executing precise API calls. Ideal for comprehensive scientific research and data gathering.

This skill provides an interactive, comprehensive quality review for technical design documents. It systematically validates a feature's readiness for implementation by assessing critical issues, identifying strengths, and providing a clear GO/NO-GO decision with actionable next steps. Ideal for ensuring architectural soundness and catching risks early in the development lifecycle.