>but with good repos and good prompts

I think waaay more people struggle with this than HN would have you believe. In the real world, not everyone is a software dev with a developer mindset to using these tools. Normal people essentially type the equivalent of "Make me X!" and complain when the model assumes anything in their underspecified mess of a prompt. There are skills like grill-me that can potentially help these people a lot, but in the end I believe models will just be smart enough to understand your level of knowledge and intent to do this stuff on their own. They are getting much better on pushing back on poor user input already. The problem is that when they double down on hallucinations (very rare nowadays but I still see it happen in enterprise projects with the latest models). So you kind of need to know when to push back on the model as well. But for that you have to be really good at the subject.

> "Skills" as developer macros can be useful, but at most those are things shared with the team (in the repo), not something you download from the internet. If you have so many skills that you feel the need to manage them, that's a code smell.

I have three development machines. You kinda need something like git to keep everyone in sync!

And there's still value in encoding a process in a skill - it's way more token efficient to tell the model what but also HOW to do something. Otherwise, it just spends a lot of tokens figuring out something that they previously did already.

This could be better summed up to the misuse of skills. Skills were not designed to be a way to make an agent more intelligent. Instead, skills are designed to allow agents to have certain tasks that are repeatable and predictable. It’s a misnomer really.

Depends on what you do. If you work with proprietary tech that is not in LLM training data and can't easily be found on the internet, you're cooked without good skill files.

Where they are very useful is as a documentation source for LLMs. For example, I work in infosec and often have to reference DSLs (Cobalt Strike aggressor script for example). Having a skill which is an offline index to carved up function docs, which an LLM can use without having to think, then search for, then download huge 1 page documents with all function documentation, and pollute the context… very useful.

If you are spending time on all text forums like this, you are likely a person whose skill set skews towards the verbalization of abstract concepts. This is also the exact skill set needed to use LLMs well. If you are able to articulate exactly what you want in a concise prompt, little else is needed.

I think we tend to overlook the fact that LLMs have tilted the scales heavily in favor of those with good verbal skills. A huge portion of the population (including a portion of highly skilled software engineers) is not great at doing this. For them, harness skills still act as a kind of scaffolding; they support automated work on a project in cases where insufficient details is given in the prompt.

Yes, skills as a "portable power" isn't really the use case for me unless it's entirely generic and even then sparingly.

I've mostly followed what anthropic suggests, which is putting less into context and more into skills, to keep the "how" out of context until it is needed to reduce context bloat.

Skills have some instructions but are primarily informed repo specific instructions and keep their context away from the rest of the repo to keep things sanitised for me.

I've found it to be useful in that context.

I find them useful for deploying task specific agents, like reviewing Jira tickets, or otherwise ensuring compliance in open format submissions.

Otherwise I agree, and you don't even have to be that verbose with prompt engineering these days as LLMs have gotten increasingly good at figuring out what you want.

Not everyone use AI only for coding, for “code smell” being even applicable here. Many of my skills are just processes distilled from actual sessions doing odd tasks and coordinating different tools. It’s pretty reasonable to assume that it saves the agent from repeating that first time exploration fumbling

100% - influencers pretend they know something and produce all in one skills pack - that doesn't make sense

i agree, skills downloaded from the internet are all snake oil.

creating your own skills however good for both reducing the token usage & increasing reliability. those damn llms are not deterministic, asking same thing twice produces 2 different results.