i-am-beei-am-beeOfficialĀ·6 Agent Skills Included

agentstack

Deploy AI agents as production services with built-in infrastructure

Turns AI agents into running HTTP services with LLM routing, vector storage, authentication, and file handling included. Eliminates the need to build deployment infrastructure, container orchestration, and API wiring from scratch. Includes skills for wrapping existing Python agents, drafting GitHub issues, generating release notes, and debugging the server. Helps developers ship agent-powered features faster using the open A2A protocol without vendor lock-in.
npx skills add i-am-bee/agentstack --all -g -y
Available:

Gives the AI agent operational rules for working in this repository, including GitHub CLI usage, testing commands, and debugging procedures, plus a brand-voice persona for the content writer sub-agent.

All Skills in This Repository (6)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install Agent Stack?ā–¼

Run `npx skills add i-am-bee/agentstack --all -g -y` in your terminal to install all skills in this suite globally.

What does Agent Stack do?ā–¼

Agent Stack turns your AI agents into running HTTP services with LLM routing, vector storage, authentication, and file handling built in, so you can call agents like any backend service.

Can I deploy an existing Python agent without rewriting it?ā–¼

Yes. The agentstack-wrapper skill wraps your existing Python or framework-based agent with minimal compatibility changes and no business-logic rewrites.

Does Agent Stack work with LangGraph or CrewAI?ā–¼

Yes. You can build agents with LangGraph, CrewAI, or your own framework, and they are automatically exposed as A2A-compatible services.

Can non-developers use Agent Stack?ā–¼

Basic usage requires some technical setup, but once running, the included web UI lets anyone test and interact with deployed agents through plain conversation.

Related Repositories in Software Engineering

View All in Software Engineering→