moai-foundation-tags
TAG inventory management, scanning, and orphan detection (Consolidated from moai-alfred-tag-scanning).
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TAG inventory management, scanning, and orphan detection (Consolidated from moai-alfred-tag-scanning).
Adds a new exercise or equipment to the system catalogs safely with automatic duplicate checking, proper normalization (lowercase keys, proper formatting), alias creation, and referential integrity maintenance. Use this skill when: (1) Parser fails to find an exercise or equipment in catalogs, (2) Adding new training movements before processing workouts, (3) Expanding exercise/equipment vocabulary for parser recognition, (4) Creating canonical entries with proper categorization and metadata, or (5) Normalizing training terminology across the system with common aliases and abbreviations
Create goods receipt (GR) record when receiving goods from supplier
Create purchase return (PRT) when returning defective goods to supplier
AI customer service and recommendation system for real_deal platform including AI chatbot, intelligent recommendations, natural language processing, and user intent understanding. Use when building AI chat interfaces, implementing recommendation engines, processing user queries with NLP, or creating AI-powered features.
Resend purchase confirmation emails with download links. Search by order number or email, verify order, and trigger receipt re-send. Solves "I lost my download link" support requests instantly. Triggers on "resend receipt", "send download link", "lost email", "can't find purchase", or similar queries.
TSH pricing logic with Zoho Inventory pricebooks. Use when: (1) Displaying product prices on any page (2) Working with different price lists (Consumer, Wholesale, Technical, Retail) (3) Implementing price display for public vs authenticated users (4) Debugging "Contact for price" issues (5) Adding pricing to new components (6) Understanding customer price list assignment
End-to-end order processing workflow for VNOM system. Use when users upload PDF order forms from customers or request order processing. Handles PDF extraction, customer/item validation, stock checking, discount application, order creation, reorder monitoring, and email response generation.
Create purchase order (PO) in NexERP database
Create purchase claim (PCL) for price/quantity discrepancies with supplier
Patterns for real-time client-side filtering, searching, and sorting of lists. Use when implementing dynamic search or filter features.
Computer vision library for PyTorch featuring pretrained models, advanced image transforms (v2), and utilities for handling complex data types like bounding boxes and masks. (torchvision, transforms, tvtensor, resnet, cutmix, mixup, pretrained models, vision transforms)
Modern C++ (C++23/C++20) development specialist covering RAII, smart pointers, concepts, ranges, modules, and CMake. Use when developing high-performance applications, games, system software, or embedded systems.
Outline extension implementing protocol for plugin development domain
Generate production-quality Python code for sensor integration, sensor fusion, and perception systems that run in Pyodide (browser). Creates educational code for teaching IMU sensors, LiDAR simulation, depth perception, tactile sensors, and sensor fusion algorithms. Focuses on sensor data processing, calibration, noise modeling, and multi-sensor fusion for educational purposes.
Metasuperhypergraph orchestrator with fractal scale-invariant recursion. Activates maximum performance mode through renormalization-group optimization, power-law resource allocation, and homoiconic self-improvement. Triggers on "ultrawork", complex multi-domain tasks, or when parallelization/delegation yields superlinear returns.
Architecture and implementation details of FastEdgesGeometry. Use when modifying FastEdgesGeometry, understanding its optimization techniques, or debugging edge generation issues.
Measure, compare, and improve eo-processor performance safely. Use when adding/changing Rust compute kernels, refactoring hot paths, or making performance claims. Provides a repeatable benchmark protocol with correctness checks, profiling hints, and reporting guidelines.
Provides essential Zero Allocation patterns using Span and ArrayPool. Use when quickly referencing core memory optimization techniques without detailed explanations.