weatherkit
Fetches current weather and forecasts at minute, hourly, and daily intervals. Covers weather alerts, historical comparisons, summaries, statistics, response caching, query limits, and required Apple Weather attribution.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Fetches current weather and forecasts at minute, hourly, and daily intervals. Covers weather alerts, historical comparisons, summaries, statistics, response caching, query limits, and required Apple Weather attribution.
Covers identifying and bypassing ELF binary protections to enable exploitation. Includes ASLR, PIE, NX/DEP, stack canaries, RELRO, FORTIFY_SOURCE, CET, and MTE.
Provides Qdrant integration patterns for Java applications using LangChain4j. Covers embedding storage, similarity search, and vector management for RAG, semantic search, and recommendation systems.
Adds observability using the .NET OpenTelemetry SDK. Covers OTLP exporters, custom metrics and spans, and troubleshooting distributed trace correlation.
Provides unit testing patterns for @ConfigurationProperties classes using @ConfigurationPropertiesTest. Covers mocked property sources, binding validation, default values, type conversions, environment-specific settings, and nested structures.
Diagnoses Gemini Enterprise Agent Platform issues involving Agent Gateway, Registry, Identity, Policies, Model Armor, and IAP. Covers unauthorized egress, runtime server errors, and permission failures in gateway or IAP logs.
Provides unit testing patterns for Spring application events. Covers ApplicationEventPublisher verification, @EventListener behavior, event mocking, and asynchronous handling.
Covers path traversal and local file inclusion involving file paths, download endpoints, include operations, archive extraction, and wrapper behavior. Focuses on cases that may expose filesystem control.
Implements document chunking, embedding generation, vector storage, and retrieval pipelines for RAG applications. Supports document question answering and AI integration with knowledge bases.
Builds a minimal local Deep Agent in Python using the official quickstart. Uses provider-native web search instead of Tavily.
Sets up NavMesh surfaces, agents, obstacles, links, modifiers, areas, and traversal costs. Covers patrol routes, obstacle avoidance and carving, connections between NavMeshes, animation coupling, and navigation troubleshooting.
Manages default internal and external access levels for standard and custom Salesforce objects. Supports settings such as Private, Public Read Only, Public Read/Write, and Controlled by Parent.
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