Skill UI

Diagnose and resolve frequent Clay SDK errors by matching logged messages, applying prescribed fixes, and verifying recoveries—ideal during debugging, failed requests, or integration troubles that mention Clay failures.

Guides modern C#/.NET development with records, pattern matching, async/await, performance tuning, enterprise patterns, and comprehensive testing to ship reliable, high-performance applications.

Configure and select AI models inside Cursor by reviewing available providers, matching models to task needs, setting defaults, and managing per-conversation choices while keeping costs efficient.

FAISS (Facebook AI Similarity Search) is a library designed for efficient similarity search and clustering of dense vectors. It supports indexing and searching on billions of vectors at scale, featuring GPU acceleration and multiple index types (Flat, IVF, HNSW, PQ) to balance speed and accuracy. It is essential for building high-performance, large-scale applications requiring fast k-NN retrieval or pure vector similarity matching, especially in fields like RAG and recommendation systems.

Diagnose and resolve the top common Fireflies.ai errors by matching logged messages, applying specific fixes (API keys, rate limits, timeouts), and confirming integrations, ideal when encountering failed requests or automation breaks.

Diagnose and resolve the top Groq API errors by checking logs, matching known issues, and applying documented fixes for authentication, rate limits, timeouts, and network hiccups to keep integrations stable.

This skill guides the combination of vector similarity search and keyword-based matching to achieve superior information retrieval. It is essential when building advanced Retrieval-Augmented Generation (RAG) systems, custom search engines, or when standard search methods fail to capture both semantic meaning and specific term requirements.

Diagnose and fix Instantly SDK/API errors by identifying logged messages, matching them to documented causes, and applying targeted solutions such as retry logic, timeout adjustments, or credential checks when integrations fail.

Provides structured guidance and resources for writing any internal communication, from 3P updates and newsletters to FAQs, incident reports, and leadership summaries, matching the formats preferred by the organization.

Provides modern Java 21+ expertise across virtual threads, pattern matching, Spring Boot 3.x, GraalVM, cloud-native patterns, and enterprise-grade testing/DevOps so teams can build scalable, secure services.

Diagnose and resolve common Obsidian plugin errors by matching console messages to curated solutions, ideal for plugin developers debugging failed operations or plugin crashes.

Walks through Replit-validated single-file, modular, and microservice blueprints so teams can plan prototypes, production services, and migrations with matching database and deployment trade-offs.