My experience with them is limited, but I’m having issues with the LLMs ignoring the skills content. I guess it makes sense, it’s like any other piece of context.

But it’s put a damper in my dream of constraining them with well crafted skills, and producing high quality output.

Yeah, the context window is a blunt instrument, everything competes for attention. I get better luck with shorter, more opinionated skills that front-load the key constraints vs. comprehensive docs that get diluted. Also explicitly invoking them (use the X skill) seems to help vs hoping they get picked up automatically

Yes, unfortunately the most reliable way is to inject them into the user prompt at a fresh session. My guess is that biasing towards checking for the tools availability too much affects performance, which might explain why it is quite rarer that I see it just choose to use a skill without previous prompting.

Yeah, I'm still trying to figure out why some skills are used every day, while others are constantly ignored. I suspect partially overlapping skill areas might confuse it.

I've added a UserPromptSubmit hook that does basic regex matches on requests, and tries to interject a tool suggestion, but it's still not foolproof.

One simple but useful flow is to ask cc to review a session and find miss-matches between initial skills / agent.md and current session, and propose an edit. I then skim over it and add it. It feels like it helps, but I don't have quantitative data yet.

Define "fundamental", but I added skills to run complicated evaluation procedures for my ML research. This way I can open 5 CC instances, let them run and iterate on research without intervention. After that, I can do the final review.

> power-user stack

Try installing the Claude Superpowers skills - you can install them one by one from here, but it's easier to install the superpowers plugin. Try using it for a couple of sessions and see how it works for you.

For a full test, try starting with the brainstorming one which then guides you from brainstorming though planning, development etc.

I've been using it for a few days and I would say it's enhanced my workflows at least.

I would double - do skills reliably work for you? I mean are they reliably injected when there is a need, as opposed to being actively called for (which in my opinion defeats the purpose of skills - because I can always ask the llm to read a document and then do something with the new knowledge).

I have a feeling that codex still does not do it reliably - so I still have normal README files which it loads quite intelligently and it works better than the discovery via skills.

Basically skills are /commands that can have attached scripts, that's about it.

If your "skill" doesn't come with scripts/executables, it's just a fancy slash command.

I've had success with code quality analysis skills that use PEP723 Python scripts with tree-sitter to actually analyse the code structure as an AST. The script output and switches are specifically optimised for LLM use, no extra fluff - just condensed content with the exact data needed.