Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIsβto find the right method, check...
Deploy and interact with Algorand smart contracts using AlgoKit CLI and generated TypeScript clients. Use when deploying contracts to localnet/testnet/mainnet, calling contract methods, reading...
Build Algorand smart contracts using Algorand TypeScript (PuyaTs) or Algorand Python (PuyaPy). Use when creating new smart contracts from scratch, adding features or methods to existing contracts,...
Systematic debugging methodology - scientific method, hypothesis testing, and root cause analysis that works across all technologiesUse when "bug, debugging, not working, broken, investigate, root...
# Liberty House Club **A Parallel Binance Chain to Enable Smart Contracts** _NOTE: This document is under development. Please check regularly for updates!_ ## Table of Contents -...
A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods...
User research methods, interview techniques, persona creation and usability testing guide.
Vue 3 Options API style (data(), methods, this context). Each reference shows Options API solution only.
Use when designing API endpoints. Use when using wrong HTTP methods. Use when POST is used for reads.
Use when accessing nested object properties. Use when chaining method calls. Use when reaching through objects to get data.
Detect anomalies and outliers in datasets using statistical and ML methods. Use for data cleaning, fraud detection, or quality control analysis.
Detects violations of Clean Code principles and suggests refactorings. Use when reviewing code quality, improving readability, or refactoring methods, classes, and modules.
Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality monitoring
Use when creating subclasses or implementing interfaces. Use when tempted to override methods with exceptions or no-ops. Use when inheritance hierarchy feels wrong.
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
Expert in understanding user behaviors, needs, and motivations through qualitative and quantitative research methods to drive user-centered design.
Remove backgrounds from images using segmentation. Support for color-based, edge detection, and AI-assisted removal methods. Batch processing available.
REST API design patterns and MicroProfile OpenAPI documentation. Use when designing endpoints, choosing HTTP methods, status codes, or documenting APIs with OpenAPI annotations.
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.