Show HN: Sx – an open-source package manager for AI skills, MCPs, and commands
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What is Sx – an open-source package manager for AI skills, MCPs, and commands?
Sx – an open-source package manager for AI skills, MCPs, and commands is a digital product or tool described as:
Where did Sx – an open-source package manager for AI skills, MCPs, and commands originate?
Data for Sx – an open-source package manager for AI skills, MCPs, and commands was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Sx – an open-source package manager for AI skills, MCPs, and commands publicly launched?
The initial public indexing or launch date for Sx – an open-source package manager for AI skills, MCPs, and commands within our tracked developer communities was recorded on May 16, 2026.
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Sx – an open-source package manager for AI skills, MCPs, and commands has achieved measurable traction, logging over 39 traction score and facilitating 23 recorded discussions or engagements.
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Community Voice & Feedback
One more package manager will fix it. One more!I don't disagree there's probably a need and niche, but why not extend and adapt an existing package manager?
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I've been working on something very similar: https://github.com/shrug-labs/aipack/tree/main/I therefore love the idea. Thanks for sharing
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why this do not belong to git, and does not go with release cycle.With bigger autonomy, I'd like my skill be tight to my release in prod/commit sha for dev, to figure out what version caused harm/bug. What is the motivation to decouple and make it a separate thing?
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Hi HN — I'm one of the maintainers.The short version: sx treats skills, MCP server configs, slash commands, agents, hooks, and rule files as versioned packages. You define them once, push them to a vault (a local folder, a git repo, or our hosted backend), and install them where they belong. There's a lockfile so installs are reproducible, scope levels for org / team / repo / individual, and the CLI translates the same asset into the format each AI client expects.Supported clients today: Claude Code, Cursor, GitHub Copilot, Cline, Codex, Gemini (CLI / VS Code / JetBrains / Android Studio), Kiro, claude.ai, chatgpt.com. The last two are what let non-engineering teams (marketing, legal, ops) use the same primitive instead of being locked out of the AI-assets ecosystem.The thing I'd most like feedback on is whether the scope model is the right shape. Org → team → repo → path → individual is what's emerged from talking to ~60 teams over the last six months, but I expect bigger orgs will surface scopes we haven't modeled (sub-team, environment, etc.).Why this and not just plugins / vendor marketplaces? Claude Code plugins are real and a good step up over raw git-checked-in CLAUDE.md files. The limitations show up at scale: each plugin is scoped to its publishing repo, so teams duplicate skills across plugins, and you're still locked to a single vendor's client. Full writeup with the technical details: https://www.sleuth.io/post/there-s-an-npm-shaped-hole-in-the...
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