Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.
Master SQL fundamentals including SELECT, INSERT, UPDATE, DELETE, CREATE, ALTER, DROP operations. Learn data types, WHERE clauses, ORDER BY, GROUP BY, and basic joins.
This skill should be used when the user asks to "evaluate agent performance", "build test framework", "measure agent quality", "create evaluation rubrics", or mentions LLM-as-judge,...
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, or managing experiment tracking systems.
Create and run evaluations on your LLM outputs. Use when testing prompts, measuring quality, comparing models, or creating evaluation datasets.
Use when integrating with Polza.ai API, writing code for AI model calls, configuring OpenAI-compatible clients with Polza.ai base URL, or when user mentions polza
Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.
Node.js development principles and decision-making. Framework selection, async patterns, security, and architecture. Teaches thinking, not copying.