Patterns for protein structure prediction using AlphaFold2/ColabFold, structural analysis, model quality assessment, and integration with experimental data. Covers best practices and critical...
Patterns for developing robotics applications with ROS2 (Robot Operating System 2). Covers nodes, topics, services, actions, launch files, lifecycle management, real-time considerations, and...
Patterns for FPGA development including RTL design (Verilog/VHDL), timing closure, clock domain crossing, high-level synthesis, and verification. Covers both traditional HDL and modern HLS...
AI Engine Optimization - semantic triples, page templates, content clusters for AI citations
>
Use when implementing data governance frameworks, building data catalogs, establishing data lineage, defining data quality rules, or setting up data stewardship programs - covers metadata...
Patterns for implementing rate limiting to protect APIs from abuse, ensure fair usage, and maintain system stability. Covers token bucket, sliding window, distributed rate limiting, and per-user...
Use when training models across multiple GPUs or nodes, handling large models that don't fit in memory, or optimizing training throughput - covers DDP, FSDP, DeepSpeed ZeRO, model/data...
|
Translates PDF documents to any target language with layout preservation. Supports academic papers, books, manuals, and general documents. Extracts text, tables, and metadata, translates with...
Patterns for feedback control systems including PID tuning, state-space control, Model Predictive Control (MPC), trajectory tracking, and stability analysis. Covers both classical and modern...
Generates architecture diagrams from code, infrastructure, or descriptions. Use when user asks to visualize, diagram, or document system architecture.
Patterns for electric motor control including Field Oriented Control (FOC), stepper motor control, encoder interfaces, current sensing, and power electronics. Covers BLDC, PMSM, DC brushed, and...
Comprehensive statistical analysis for research, experiments, and data science. Covers hypothesis testing, effect sizes, confidence intervals, Bayesian methods, regression, and advanced...
Patterns for computer-aided drug discovery including virtual screening, molecular docking, ADMET prediction, lead optimization, and integration with AI/ML methods. Covers both structure-based and...
Patterns for designing and analyzing clinical trials, including survival analysis, endpoint selection, sample size calculation, interim analyses, and regulatory considerations. Covers FDA/EMA...
Master the AI tools that accelerate design work. From UI generation to image editing, create professional designs faster. Use when "design, UI, graphics, image editing, prototyping, design, ui,...
The scientific method applied to computational research, data science, and experimental software engineering. Covers hypothesis formulation, experimental design, controls, reproducibility, and...
Work with climate data, models, and projections for climate impact assessment, downscaling, and scenario analysis using CMIP6 and other climate datasets. Use when "climate model, climate...
Design and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random...