Comment by arrowsmith
11 hours ago
Skills are a really simple concept. They're just custom prompts with a name and some metadata. What are you afraid of handcuffing?
11 hours ago
Skills are a really simple concept. They're just custom prompts with a name and some metadata. What are you afraid of handcuffing?
Just the decision of whether to allow models to invoke them has [1][2][3] different ways.
[1]: https://code.claude.com/docs/en/skills#control-who-invokes-a... [2]: https://opencode.ai/docs/skills/#disable-the-skill-tool [3]: https://developers.openai.com/codex/skills/#enable-or-disabl...
All the more reason to standardise it
We keep standardising without adding versioning :(
Eventually, you can standardize what you don't understand
The problem I see now is that everyone wants to be the winner in a hype cycle and be the standards bringer. How many "standards" have we seen put out now? No one talks about MCP much anymore, langchain I haven't seen in more than a year, will we be talking about Skills in another year?
They are more than that, for example the frontmatter and code files around them. The spec: https://agentskills.io/specification
Why do I want to throw away my dependency management system and shared libraries folder for putting scripts in skills?
What tools do they have access to, can I define this so it's dynamic? Do skills even have a concept for sub tools or sub agents? Why do I want to put references in a folder instead of a search engine? Does frontmatter even make sense, why not something closer to a package.json in a file next to it?
Does it even make sense to have skills in the repo? How do I use them across projects? How do we build an ecosystem and dependency management system for skills (which are themselves versioned)
> They are more than that, for example the frontmatter and code files around them.
You are right. I have edited my post slightly.
> Why do I want to throw away my dependency management system and shared libraries folder for putting scripts in skills?
You don't have to put scripts in skills. The script can be anywhere the agent can access. The skill just needs to tell the LLM how to run it.
> Does it even make sense to have skills in the repo? How do I use them across projects?
You don't have to put them in the repo. E.g. with Claude Code you can put project-specific skills in `.claude/skills` in the repo and system-wide skills in `~/.claude/skills`.
2. The spec / docs show people how to put code in a subdir. While you can reference external scripts, there is a blessed pattern that seems like an anti-pattern to me
3. generalize: how do I store, maintain, and distribute skills shared by employees who work on multiple repos. Sounds like standard dependency management to me. Does to some of the people building collections / registries. Not sure if any of them account for versioning, have not seen anything tied to lock files (though I'd avoid that by using MVS for dep selection)
Agreed. I think being overly formal about what can be in the frontmatter would be a mistake, but the beauty of doing this with an LLM is that you can pretty much emulate skills in any agent by telling it to start by reading the frontmatter of each skills file and use that to decide when to read the rest, so given that as a fallback, it's hardly imposing some massive burden to standardise it a bit.