Search Skills

Guides on unit testing best practices, including AAA pattern, test isolation, and coverage targets for business logic.

Enables multimodal RAG with CLIP, SigLIP 2, and Voyage Multimodal-3 for image-text retrieval and visual search.

Provides tactical patterns for Domain-Driven Design to model complex business domains, including entities and bounded contexts.

Automatically loads session context from mem0 and knowledge graph at startup for AI agents and RAG systems.

Compresses conversation history to maintain LLM response quality within token limits using anchored summarization and validation.

Provides Framer Motion animation patterns for React, covering page transitions, modals, and RTL-aware effects.

Advanced patterns for TanStack Query v5 including infinite queries, optimistic updates, and caching strategies for React data fetching.

Enables local inference of large language models using Ollama, supporting development, CI pipelines, and cost efficiency with model selection and LangChain integration.

Provides efficient database and HTTP connection management patterns for Python async applications, optimizing resource usage in high-concurrency services.

Improves RAG systems using hybrid BM25-vector search to maintain context and reduce retrieval failures in large language model applications.

Curates high-quality datasets for AI model evaluation, defining quality criteria and multi-agent analysis workflows for test data.

Automates capturing dynamic, login-protected, and multi-page web content via command-line interface for data extraction and documentation.

Conducts load and stress testing with k6 and Locust to validate system performance, identify bottlenecks, and establish baselines under simulated user loads.

Stores decisions and patterns in a knowledge graph with optional cloud sync for efficient personal knowledge management and recall.

Advanced MCP patterns for tool composition, resource management, and scaling in software development workflows.

Enables building LLM agent workflows with parallel execution, persistence, and human-in-the-loop capabilities using LangGraph's functional API pattern.

Provides tools and patterns for building Next.js 16+ applications with React Server Components, App Router, and server-first architecture.

Provides advanced Vite 7+ configuration for environment setup, plugin development, SSR, and build optimization in frontend projects.

Provides production-ready hybrid search using PGVector HNSW and BM25 with Reciprocal Rank Fusion for semantic and metadata-based retrieval.

Assesses software task complexity using automated codebase metrics to determine if a task requires decomposition before implementation.

Provides foundational structure for design systems including tokens, components, documentation, and accessibility to ensure consistent and accessible UI across products.

Retrieves past decisions and patterns from knowledge graphs for informed decision-making and pattern recognition.

Provides responsive layout patterns for React using Container Queries, fluid typography, and mobile-first techniques.

Guides implementation of clean architecture using SOLID, hexagonal patterns, ports and adapters, and DDD for maintainable, testable backends.