Search Skills

Guides selection and implementation of multi-agent AI frameworks including CrewAI, Microsoft Agent Framework, and OpenAI Agents SDK for complex agent system development.

Verifies software work with evidence by collecting test results, build outputs, and coverage metrics for code reviews and deployments.

Automates comprehensive pull request reviews using specialized agents to evaluate code quality, functionality, and adherence to standards.

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

Provides security patterns for LLM integrations to defend against prompt injection and prevent hallucinations.

Automates GitHub issue progress tracking by updating status based on commit activity and sub-task completion.

Automates secondary cleaning of Twitter data to extract complete tweet content and generate filterable datasets.

Graph-based memory orchestration using knowledge graphs with optional mem0 cloud for semantic search in AI systems.

Provides API patterns for real-time streaming using SSE, WebSockets, and ReadableStream for live updates and chat backends.

AI analyzes voice recordings to uncover behavioral patterns, cognitive biases, and strategic blind spots, delivering actionable insights and building a personal work pattern knowledge base.

Provides state management patterns for Zustand 5.x in React, including slices, middleware, and persistence.

Secures MCP servers through prompt injection defense, tool poisoning prevention, and permission management via allowlist implementation.

Executes test suites with parallel processing and generates coverage reports for efficient debugging and failure analysis.

Automates Google NotebookLM for creating notebooks, adding sources, generating multimedia content, and extracting web content from social media platforms.

Enables reliable event publishing in microservices using the transactional outbox pattern, ensuring exactly-once delivery and atomic writes.

Enables asynchronous task processing in Python backends using Celery, ARQ, and Redis for job queues and scheduled tasks.

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

Enables safe, zero-downtime database schema migrations using expand-contract pattern and online schema changes for production deployments.

Enables React code splitting and lazy loading with Suspense, route-based splitting, and intersection observer for optimal bundle performance.

Enables dynamic routing, branching workflows, and retry loops in LangGraph-based AI agent applications.

Provides standardized implementation for RFC 9457 problem details in HTTP API error responses, ensuring structured error handling.

Enables constructing context from retrieved documents, adding citations, and implementing hybrid search in RAG pipelines for grounded LLM responses.

Provides connection pooling patterns for Python async applications, optimizing database (asyncpg) and HTTP (aiohttp) connections in high-concurrency services.

Provides guidance on OWASP Top 10 security vulnerabilities and their mitigations for security audits and code reviews.