Skill UI

This skill acts as an expert resource for modern .NET development using C#. It guides the creation of enterprise-grade, high-performance applications by leveraging advanced C# features (like records, pattern matching), strictly adhering to SOLID principles, optimizing memory usage, and implementing comprehensive unit tests. Ideal for complex backend services and architecture tasks.

A comprehensive workflow for executing advanced, semantic web searches using Exa. This tool moves beyond simple keyword matching, enabling deep context retrieval by understanding the intent behind the query. Key features include RAG context retrieval, content extraction (summaries, highlights, full text), and robust filtering by date range, specific domains, and content categories. Ideal for building knowledge base search features and complex research pipelines.

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.

This skill provides structured patterns for combining vector similarity search with traditional keyword-based search. It is essential for building advanced Retrieval-Augmented Generation (RAG) systems, sophisticated search engines, or any retrieval task requiring high recall. Use this when pure semantic understanding is insufficient, and precise matching of specific terms (like names or codes) is necessary.

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.

An expert guide for building scalable, cloud-native enterprise applications using the latest Java 21+ features, including Virtual Threads and Pattern Matching. Deep mastery of the Spring Boot 3.x ecosystem, Spring Cloud, and microservices architecture. Covers full development lifecycle, from JVM performance tuning (GraalVM, ZGC) to robust testing (Testcontainers) and secure DevOps practices (Kubernetes, CI/CD).

Scans your codebase with pattern matching and entropy analysis to detect exposed secrets like API keys, passwords, and private keys, then generates remediation reports so you can fix vulnerabilities before committing or deploying code.

Enables Trigger.dev-based background jobs, AI workflows, and scheduled or batch async execution with a TypeScript-first SDK, durable retries, and built-in integrations while matching production behavior through the local CLI.

A comprehensive guide for optimizing licensing costs associated with AI developer tools (like Windsurf). It provides structured methods for auditing seat utilization, matching feature tiers to specific team roles, calculating the ROI per seat, and implementing continuous usage monitoring to maximize cost efficiency and minimize wasteful spending.

Access the ClinicalTrials.gov API v2 to search trials by condition, drug, location, sponsor or status, fetch details via NCT ID, and export JSON/CSV data for research analysis, patient matching, and trial monitoring.

Matchms processes LC-MS/MS spectra with import/export tools, filtering, and multiple similarity scorers so you can identify metabolites, match libraries, and automate reproducible workflows.

Use Nano Banana 2 plus Gemini 3.1 Pro Preview to iteratively craft publication-quality scientific schematics—neural nets, pathways, or system diagrams—matching document-type quality thresholds.