When I tried pi.dev (I only used chatgpt before) and told it "add all this scripts I developed over the last couple of years to automate my job as skills".
I love to automate things in bash scripts and these llms just can use them very effectively. It was also surprising how they derive knowledge from those scripts. If you get A from a B uuid, they kind of get the relationship. I am super vague in my request and this thing knows what I am referring to. After some months it's still mind-blowing.
> "Don't use a LLM for that part, it won't be reliable enough".
You should now ask if the LLM is reliable enough when it says that.
Jokes aside, how is this a major step he is missing? He is using those skills to be more efficient. How important is going against agentskills.io guidance?
The king of all alias is fixup, which commits everything and fixes up the commit with the previous one.
Another script just goes over the changes and allows me to add/skip/restore.
Then I can pipe the log to another script that will analyze tags and tell me what is not yet in prod.
cli is hard... but it composes. I want to know that CLI as well as possible. And I don't want to start from scratch each few years with a new UI / concept.
I love to automate things in bash scripts and these llms just can use them very effectively. It was also surprising how they derive knowledge from those scripts. If you get A from a B uuid, they kind of get the relationship. I am super vague in my request and this thing knows what I am referring to. After some months it's still mind-blowing.