Skill UI

This skill specializes in crafting multi-touch communication sequences (such as email nurture, onboarding flows, or sales funnels) based on behavioral psychology principles. It leverages key principles—including the curiosity gap, reciprocity, and gradual commitment—to guide users toward a desired outcome. It ensures each touchpoint builds upon the last, respecting the user's autonomy while creating a natural, progressive emotional arc for ethical and effective persuasion.

This skill applies principles of behavioral psychology and choice architecture to redesign user experience (UX) flows. It is used when a product's conversion friction is rooted in interaction design, not just copy. By auditing cognitive load, defining optimal default paths, and inserting strategic commitment points, it guides users toward desired actions ethically, maximizing commitment while preserving autonomy. Ideal for improving onboarding, checkout funnels, and complex decision-making sequences.

Controls BrowserWing-based browsers via HTTP endpoints to navigate pages, interact with elements (click/type/select), capture accessibility snapshots, run JavaScript, take screenshots, and execute batch sequences for data extraction workflows.

Generates and edits draw.io (.drawio/.drawio.svg/.drawio.png) files via mxGraph XML, supporting templates, layout guidance, and the VS Code Draw.io extension so diagrams for flowcharts, architecture, UML, ER, sequences, and networks open without manual fixes.

Automates Postmark transactional email operations through Rube MCP’s Composio toolkit, covering templated batch sends, template management, delivery stats, bounce handling, and server configuration with guided tool sequences and checks.

Automates Salesforce CRM workflows through Rube MCP's Composio toolkit, letting you manage leads, contacts, accounts, opportunities, SOQL queries, and tasks with guided tool sequences and prerequisites.

DiffDock is a state-of-the-art, diffusion-based deep learning tool for predicting 3D binding poses of drug-like ligands to protein targets. It supports both PDB files and amino acid sequences for proteins, and accepts diverse ligand formats (SMILES, SDF, MOL2). It is designed for structure-based drug discovery, lead optimization, and high-throughput virtual screening campaigns, providing predicted poses and confidence scores.

ESM provides advanced protein language models (ESM3, ESMC) for deep biological understanding, generation, and structural prediction. This skill enables users to generate novel protein sequences with specific functions, perform structure prediction from sequence, execute inverse folding (sequence design from structure), and extract high-quality protein embeddings for downstream machine learning tasks. Ideal for drug discovery and advanced bioinformatics research.

The ETE Toolkit is a powerful Python library designed for analyzing, manipulating, comparing, and visualizing phylogenetic trees stored in Newick or Nexus formats. It allows users to perform topology edits, calculate phylogenetic distances (e.g., Robinson-Foulds), detect evolutionary events, and query external taxonomic databases like NCBI/GTDB. Note that this tool analyzes existing trees; it is not used for inferring trees from raw sequences.

This skill provides comprehensive tools for analyzing and engineering protein glycosylation patterns. It scans sequences for canonical N-glycosylation sequons (N-X-S/T), predicts O-glycosylation hotspots, and supports rational modification. It is essential for optimizing therapeutic antibodies, improving protein stability, or designing complex vaccine antigens.

Gtars is a robust toolkit providing native Rust implementations and Python bindings for advanced genomic interval modeling. It supports core bioinformatic tasks including set algebra, coverage calculation, tokenization, and fragment processing. The library emphasizes data integrity by enforcing strict genomic data contracts, ensuring correct handling of coordinates, assemblies, and reference sequences across complex computational pipelines.

A specialized tool designed to explore uncertain futures by mapping the entire possibility space. Instead of relying on a single prediction, the Oracle runs structured multi-branch scenario analyses (including Best, Worst, Wild Card, and Second-Order effects). It is ideal for stress-testing major decisions, performing contingency planning, and analyzing potential consequences when facing strategic forks or high-stakes uncertainty.