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Discuss – Do AI agents deserve all the hype they are getting?

4•MicroWagie•4h ago•1 comments

Ask HN: Anyone Using a Mac Studio for Local AI/LLM?

48•UmYeahNo•1d ago•30 comments

LLMs are powerful, but enterprises are deterministic by nature

3•prateekdalal•8h ago•6 comments

Ask HN: Non AI-obsessed tech forums

29•nanocat•19h ago•26 comments

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Ask HN: 10 months since the Llama-4 release: what happened to Meta AI?

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AI Regex Scientist: A self-improving regex solver

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Tell HN: Another round of Zendesk email spam

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Kernighan on Programming

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We built a serverless GPU inference platform with predictable latency

5•QubridAI•2d ago•1 comments

Ask HN: Does a good "read it later" app exist?

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Ask HN: Have you been fired because of AI?

17•s-stude•4d ago•15 comments

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12•kldg•4d ago•1 comments

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Ask HN: How Did You Validate?

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14•8cvor6j844qw_d6•4d ago•6 comments
Open in hackernews

I built a public skill registry and MCP server so Codex can install new skills

3•iluxu•1mo ago
Hi HN,

I’ve been working on a simple idea: instead of hard-coding capabilities into Codex-like agents, let them install skills on demand, from a public registry.

The setup is intentionally minimal:

A public skill registry (JSON index + signed artifacts)

A CLI (npx codex-skill install <skill>) for humans

A Model Context Protocol (MCP) server so agents can:

search skills

fetch manifests

verify artifacts

install workflows programmatically

As a concrete example, the first skill is a theming skill for frontend projects (static HTML or Next.js + shadcn/ui). An agent can install the skill, apply a theme, and produce a clean diff in under a minute.

What this enables:

Agents that evolve without redeploying the core model

A neutral, inspectable “app store” for agent skills

Deterministic workflows (install → apply → diff → verify)

Humans and agents using the same install path

This is early and intentionally boring technically. The goal is to see if a shared skill ecosystem for agents actually makes sense in practice.

Happy to hear thoughts, criticism, or similar experiments people have tried.

Repo / demo links in comments if relevant.