one of the most practical ways to get better at agent steering (or 'harness' or whatever people are calling it) is honestly just reading repos that actively maintain SKILL.md files and keep updating them based on community feedback, like obra's superpowers. i've been going through superpowers lately and i've also been visualizing the digraph stuff he writes about. eg: https://github.com/obra/superpowers/blob/main/skills/using-superpowers/SKILL.md picked up a bunch of anecdotes i really liked:
what i enjoyed most was seeing how they chain all the skills together step by step to create an actual flow, like seeing how they integrate different tools like codex/copilot and stuff was pretty cool too
now i'm starting to dig into paperclip's SKILL.md files. tbh when the whole SKILL.md thing first came up i didn't take it that seriously, but the deeper you go the more you realize it's basically a new way of writing agents altogether. obra's way of thinking for that is solid on this and if you want to go beyond just gut feeling and actually dig in, i'd even recommend looking at the git history of skill files from good repos
anyway has there been any agentic pattern lately that's actually stuck with you and made you go down a rabbit hole? open to recommendations!
everyone thinks their own ideas on agent prompting loop are the most valuable, which is actually kind of cool. seeing all these random, creative ways people are using AI in the community has been pretty motivating tbh but before i jump in and start testing my own stuff, i look at what’s already getting positive feedback (i usually prioritize real user comments on reddit over github stars) and check out the person's background. if both seem solid, i grab a coffee, go through the files one by one, and try to figure out what kind of loop they’re trying to build.
For me it's been claude hooks, use it a lot but honestly still haven't closed the loop on coding and verification. Feels close but not quite there ye
share on github, will add this into my reading list