Loading...
Loading...
Found 816 Skills
Start or reuse CAD Viewer and return review links for explicit CAD, robot-description, and G-code files. Use when visually reviewing `.step`, `.stp`, `.glb`, `.stl`, `.3mf`, `.gcode`, `.dxf`, `.urdf`, `.srdf`, or `.sdf` files, especially when handed off from CAD, G-code, URDF, SRDF, or SDF generation skills.
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
Create interactive maps with markers, heatmaps, routes, and choropleth layers. Use when visualizing geographic data, plotting locations, or creating map-based reports.
Evaluate the probability and path of copper prices breaking through key levels or entering a 'back-and-fill' pullback to support levels using cross-asset signals (global stock market resilience + Chinese interest rate environment).
Generate Excalidraw diagrams. Use when the user asks to create a diagram, visualize a concept, or illustrate technical architectures.
Use when asked to visualize sales territories, coverage areas, service regions, or geographic boundaries on interactive maps.
Toolkit for building TAM/SAM/SOM models, sensitivity analyses, and narrative-ready visuals.
Read-side memory operations: search, load, sync, history, visualize. Use when searching past decisions, loading session context, or viewing the knowledge graph.
Braiins Learn - Bitcoin mining profitability calculators, charts, and data dashboard
Guide to the math cognitive stack - what tools exist and when to use each
Chart any technical indicator on a symbol using Plotly. Creates interactive dark-themed charts with candlestick, overlays, and subplots. Supports all 100+ openalgo.ta indicators.
High-performance data analysis using Polars - load, transform, aggregate, visualize and export tabular data. Use for CSV/JSON/Parquet processing, statistical analysis, time series, and creating charts.