Skill UI

Global Chat Agent Discovery enables developers to locate and compare MCP servers and AI agents via a cross-protocol directory. It supports MCP, A2A, and agents.txt protocols, offering programmatic access through an MCP server. Users can search for tools like database access or file conversion, validate agents.txt files, and discover endpoints for agent-to-agent communication across multiple registries.

Centrally manage secrets, encryption, and access with HashiCorp Vault. Covers KV, database, AWS, and PKI secret engines, plus authentication methods like AppRole, Kubernetes, and OIDC.

This skill enforces an algorithm-first discipline, requiring the user to state the time and space complexity (Big-O), the intended data structure, and the core algorithm family before writing any complex code (loops, queries, recursion). It serves as a critical gatekeeper to prevent common performance pitfalls like O(n²) complexity, N+1 database queries, and brute-force implementation errors, significantly improving code robustness and efficiency.

Comprehensive guide to LLM Operations (LLMOps). Covers advanced topics like Retrieval-Augmented Generation (RAG), vector database management (Pinecone, Chroma), embeddings, fine-tuning, prompt engineering, and cost optimization. Essential for bridging the gap between AI prototypes and reliable, scalable, production-grade AI systems.

Programmatically manage your entire contact database within Mailtrap. This guide covers using the API to create, update, delete, and bulk import contacts. It is essential for synchronizing contact data with CRMs, triggering custom automation events, building targeted segments, or performing large-scale list cleanups.

MockHunter is an advanced skill designed to audit live web pages, providing a comprehensive reality check on visible data. It analyzes every element to determine its true source: whether it is REAL (from the database), MOCK (simulated data), LLM-generated, HARDCODED, BROKEN (broken endpoints), or UNKNOWN. Ideal for auditing AI-generated UIs or reviewing proof-of-concept MVPs before customer sign-off.

Administer, optimize, and secure MongoDB NoSQL databases in development and production. Covers installation, user setup, CRUD operations, indexing, aggregation pipelines, replica sets, and backup/restore.

Expert skill for architecting, reviewing, and scaling software systems. Handles architecture, databases, microservices, and infrastructure design to create resilient backend solutions.

Generates SQL validation notebooks for dbt PR changes with before/after comparison queries. Supports GitHub PR URLs and local repositories. Creates interactive notebooks for database validation across Snowflake, BigQuery, Redshift, and Athena. Includes schema inference from dbt_project.yml and model configs.

Administer and optimize MySQL/MariaDB databases in production environments. Covers installation, configuration tuning, security hardening, backup strategies using mysqldump or XtraBackup, and source-replica replication setup. Essential for managing relational database deployments and ensuring high availability.

Proven architectural patterns for building n8n workflows, including webhook processing, API integration, database operations, AI agent workflows, and scheduled tasks. Guides pattern selection and implementation.

Deploy long-running Node.js HTTP functions directly on Neon database branches. Automatically injects DATABASE_URL and runs compute next to your data. Ideal for stateful streaming, WebSocket servers, and agent backends that exceed traditional serverless limits. Managed via Neon CLI.