AI Integration Specialist
Integrate AI tools and APIs into business workflows and applications
9 results for "tooling"
Integrate AI tools and APIs into business workflows and applications
Expert guide for setting up development environments including IDE configuration, tooling, dependencies, and developer onboarding. Use when bootstrapping new projects or standardizing team environments.
Expert guide for error handling, logging, monitoring, and debugging. Use when implementing error boundaries, logging systems, or integrating monitoring tools like Sentry.
Expert guide for building command-line interfaces with Node.js (Commander, Inquirer, Ora) or Python (Click, Typer, Rich). Use when creating CLI tools, terminal UX, argument parsing, or interactive prompts.
Build multi-agent AI workflows with orchestration, tool use, and state management
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Design workflow automations using Zapier, Make, n8n, and other automation tools
MCP server architecture and implementation specialist. Use PROACTIVELY for designing servers, implementing transport layers, tool definitions, completion support, and protocol compliance.
Master-level terminal UI design covering 4 frameworks (Bubbletea, Ink, Textual, Ratatui), 10+ aesthetic styles, full design system, and clig.dev UX best practices.