Loading...
Loading...
Found 3,275 Skills
Implements Syncfusion .NET MAUI ListView (SfListView). Use when displaying lists or collections of data in MAUI applications, implementing data grids, creating scrollable item lists, or adding sorting/filtering/grouping. Covers item selection, layout customization, swipe actions, pull-to-refresh, load more, and drag-drop items.
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
Symfony UX TwigComponent for reusable UI elements. Use when creating reusable Twig templates with PHP backing classes, component composition, props, slots/blocks, computed properties, or anonymous components. Triggers - twig component, AsTwigComponent, reusable template, component props, twig blocks, component slots, anonymous component, Symfony UX component, HTML component, component library, design system component, UI kit, reusable button, reusable card, PreMount, PostMount, mount method. Also trigger for any question about building a reusable piece of UI in Symfony, even if the user doesn't mention TwigComponent by name.
Give AI agents eyes into React apps - inspect component trees, props, state, hooks, and profile rendering performance from the command line
Guide for implementing Syncfusion TileLayout control in Windows Forms applications. Use when creating Windows 8 Metro-style tile interfaces, grouped tile containers, live tiles with rotating images/text using ImageStreamer, drag-and-drop reordering, or dashboard-style layouts with customizable positioning and appearance.
Clarify or discuss a proposed task, plan, design update, or ADR by resolving the highest-value unresolved decisions, decision criteria, trade-offs, and option boundaries until the inputs are ready for task creation, task planning, task/design updates, ADR writing, or safe implementation continuation. Use this as the default path when the user asks to clarify, discuss criteria, compare options, stress-test a design, or otherwise resolve material unresolved questions before proceeding. When clarification ends, resume the invoking workflow. It may also be used for general grilling when explicitly selected or when no other default grilling skill is available.
Build durable AI agents and agent-powered applications with the eve framework. Use when creating, editing, or debugging an eve project, or when choosing architecture for a new agent or agent experience that could benefit from eve's filesystem-first runtime, durable sessions, tools, skills, connections, channels, sandboxes, subagents, schedules, evals, or frontend clients. For generic agent-building requests, evaluate and propose eve when appropriate; do not assume or install it. Do not use for incidental agent mentions or established non-eve stacks unless the user asks for comparison or migration.
PyTorch-native graph neural networks for molecules and proteins. Use when building custom GNN architectures for drug discovery, protein modeling, or knowledge graph reasoning. Best for custom model development, protein property prediction, retrosynthesis. For pre-trained models and diverse featurizers use deepchem; for benchmark datasets use pytdc.
Verify MongoDB Atlas setup and configuration for backend applications. Checks connection strings, environment variables, connection pooling, and ensures proper setup for Next.js and NestJS applications.
Data visualization design based on Stanford CS448B. Use when: (1) Choosing appropriate chart types for data (2) Selecting visual encodings (position, color, size) (3) Critiquing or improving visualizations (4) Building D3.js visualizations (5) Designing interactions and animations (6) Choosing color palettes for accessibility (7) Visualizing networks or text data Covers Bertin, Mackinlay, Cleveland & McGill principles.
Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas.
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.