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Found 178 Skills
Design protein sequences using ProteinMPNN inverse folding. Use this skill when: (1) Designing sequences for RFdiffusion backbones, (2) Redesigning existing protein sequences, (3) Fixing specific residues while designing others, (4) Optimizing sequences for expression or stability, (5) Multi-state or negative design. For backbone generation, use rfdiffusion or bindcraft. For ligand-aware design, use ligandmpnn. For solubility optimization, use solublempnn.
Use when ready to implement designed features - breaks design into TDD tasks (Red-Green-Refactor), tracks progress with checkboxes in tasks.md, enforces strict testing discipline. Activates when user says "implement this", "let's code", "start execution", mentions "tasks", "TDD", or uses /dev-workflow:spec commands (tasks, execute).
Extract text from source documents (PDF, DOCX, PPTX, HTML, Markdown) for spreadsheet workflows. Use to understand source material before populating workbooks.
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs.
Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the Omni CLI. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report", or "download this dashboard".
Implement Syncfusion Blazor button components including Button, ButtonGroup, CheckBox, Chip, DropdownMenu, FloatingActionButton, ProgressButton, SpeedDial, SplitButton, and ToggleSwitch. Use this skill when working with button-related components in Blazor applications. Covers installation, configuration, styling, accessibility, event handling, and advanced features for all button component types.
Implement hierarchical tree structures with Syncfusion Angular TreeView component. Use this when building tree-based UIs with features like checkboxes, drag-and-drop, node editing, filtering, and templating. This skill covers dynamic data binding, nested hierarchies, folder structures, and interactive tree-based interfaces.
Comprehensive guide for implementing Syncfusion WPF TreeView (SfTreeView) control to display hierarchical data in Windows Presentation Foundation applications. Use this when working with tree structures, folder hierarchies, organizational charts, or parent-child data relationships. Supports drag-and-drop reordering, checkbox selection, load-on-demand for large datasets, and inline editing of tree nodes.
Implements the Syncfusion dotnet Calculate Library for parsing and evaluating formulas using CalcEngine, ICalcData, CalcQuickBase, and ExcelLikeComputations. Supports formula computation, custom functions, cross-sheet references, and XlsIO formula evaluation. Trigger when implementing formula calculations, expression parsing, workbook formula evaluation, or custom function registration.
Run queries against Omni Analytics' semantic layer using the Omni CLI, interpret results, and chain queries for multi-step analysis. Use this skill whenever someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many", "what's the trend", "show me the data", retrieve dashboard query results, or perform any data retrieval through Omni's query engine. Also use when someone wants to programmatically extract data from an existing Omni dashboard or workbook.
Virtual try-on — see how clothes look on a person via fal.ai's hosted try-on models. Useful for ecommerce, lookbooks, and styling experiments.
Return public original model architecture diagrams for user-specified LLM, VLM, MoE, diffusion, OCR, and SGLang/sgl-cookbook model families. Use when the user asks for a model structure chart, architecture diagram, or rendered image link for a specific model such as DeepSeek, GLM, Qwen, Kimi, MiniMax, Step, Hunyuan, or Qwen3-VL.