@dhuynh95: The #Agent #Plugins standard is out. Will it be a dud? @OpenAI, @cursor_ai, @Google , @vercel and others just released …

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Summary

The Agent Plugins standard, backed by OpenAI, Cursor, Google, Vercel, and others, is released as a way to package agent skills with MCP connectors for easy installation on any harness. The author notes it is mostly packaging rather than a breakthrough, but important for agent distribution.

The #Agent #Plugins standard is out. Will it be a dud? @OpenAI, @cursor_ai, @Google , @vercel and others just released a standard way to distribute Agent configuration for an easy install on any harness like #Codex. Interesting note: @AnthropicAI did not participate. An Agent Plugin, from first principles, is packages and ties together Skills (text files with business logic) with their #MCP (connectors). This is quite important as for many use cases coupling the two is needed to have effective Agents Take a plugin for finding LinkedIn leads. “Search leads, then check their profile” isn’t enough. You have to say which tool does it: Google Search, Sales Navigator, etc. So Skills and MCPs go hand in hand. Knowing how to combine them is the “taste” people in SF keep talking about Why it matters: Plugins strengthen this path towards one click installs for Agents. Agents are starting to commoditize more and more, and just like Apps they are starting to have their distribution format and platforms. But will this make Agents 10x better? I don’t think so. It’s mostly packaging, not a breakthrough Until AI engineers think hard about, the right tools, permissions and UX for a specific business problem, no amount of packaging fixes the production blockers we see in most companies
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The #Agent #Plugins standard is out. Will it be a dud?

@OpenAI, @cursor_ai, @Google , @vercel and others just released a standard way to distribute Agent configuration for an easy install on any harness like #Codex. Interesting note: @AnthropicAI did not participate.

An Agent Plugin, from first principles, is packages and ties together Skills (text files with business logic) with their #MCP (connectors). This is quite important as for many use cases coupling the two is needed to have effective Agents

Take a plugin for finding LinkedIn leads. “Search leads, then check their profile” isn’t enough. You have to say which tool does it: Google Search, Sales Navigator, etc.

So Skills and MCPs go hand in hand. Knowing how to combine them is the “taste” people in SF keep talking about

Why it matters: Plugins strengthen this path towards one click installs for Agents. Agents are starting to commoditize more and more, and just like Apps they are starting to have their distribution format and platforms.

But will this make Agents 10x better? I don’t think so. It’s mostly packaging, not a breakthrough

Until AI engineers think hard about, the right tools, permissions and UX for a specific business problem, no amount of packaging fixes the production blockers we see in most companies

Vercel (@vercel): Introducing Agent Plugins, an open standard for extending agents.

Supports Agent Skills and MCP, with more to come.

Built in collaboration with: @awsdevelopers, @code, @cursor_ai, @github, and @openaidevs.

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