This feels self-selective to how some people work, because it requires using MCP to contribute.
I'm a reasonably heavy AI user, and have some custom skills/MCP servers I'd share, but there is no way in hell I'm connecting to some arbitrary MCP server and connecting my Github account to it. Noppppeeeee.
Agree. I was going to type in my setup, but no way I'm touching the instructions on https://mysetup.ai/connect. Also I don't use Codex, Claude, or Pi.
Thanks for checking out, I've added support for manual entry without MCP: https://mysetup.ai/connect
No Codex, Claude, or Pi... now you have peaked my interest with your setup :P
I prefer OpenCode over Codex/Claude/Pi
Why is that?
*piqued
haha was also going to mention this at the risk of pedantry
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There has to be a much better way to share your setup
Yeah, there is... Post your tooling to GitHub and link to it with a human-written description in a place like HN or Reddit.
I don't know why this has to be reinvented?
Ah yes, just what people want, 50,000 posts about your AI setup on HN.
Concentrating certain types of information can be useful. You don't go to an encyclopedia looking for a recepie.
I don't ming a "ASK HN: What's your AI Setup", and then sifting through the 100s of comments on what people are doing. Then I'd scrape all that into my LLM WIKI and start digesting.....
ShareYourAISetup folks create a skill that user can run locally that collects information re their setup, formats it and sends to dedicated endpoint. Result = fairly uniform reports where people share what they're comfortable sharing.
No requirement from given user to spend their time. Users see what the skill does.
I guess atm they dont know what questions they want to be asking
Any setup that is longer than a sentence or two of plain text is almost certainly overcomplicated.
Not really?
I have some custom skills/MCP servers I use:
one MCP server for using https://usefeyn.com/blog/pulpie-pareto-optimal-models-for-cl... ran locally so that reading web pages is cheaper and uses up less context
One MCP server for doing automated code quality checking, using Valknut, Jscpd, and Lizard to output scores, combine/aggregate them. That's then give to the model so that it can see if there's a mess of code dupe or if there was significant architectural regression. It's allowed to say "This is worth it" but it ground it a bit and stops really stupid, short sighted, hacked-in features
Another uses https://github.com/thejens/id-token-nicer so that the model doesn't bork a big ID without being noticed. It's told to translate in and out of that as necessary.
I had it write it's own skill for making sure to follow some sane commenting/style guides per language, that way it doesn't just give me massive files with no comments.
Finally, a last one lets Antigravity or Codex call out to local models as workers, for long running background tasks where a cheap, dumb model is fine. Saves on overall token usage.
I also have a few skills from the internet setup. https://github.com/AlmogBaku/debug-skill being the most important one.
On top of that, the way people work is notable: Do you use worktrees for agents? Why/why not? Do you have only one subscription? What level? I'm using both Codex at $20/mo and Antigravity at (promo) $5/mo right now. Antigravity's TOS says you MUST use their harness, which informs some of my skill setup/workflow. Do you make your agents.md self modifying, write it yourself, or not use one at all? Do you use a sandbox or YOLO it?
Even just how you prompt matters. On Antigravity/Gemini, I can give it a big list-o-TODOs and have it make a very detailed implementation plan itself, carry it out, and generally do the thing, all unsupervised. Codex, from what I have experienced, isn't as good at that. Doing the planning as a separate step, writing to a file, then telling it to step-by-step it with commits for each step makes it work okay again though.
> I also have a few skills from the internet setup. https://github.com/AlmogBaku/debug-skill being the most important one.
From the README for that skill:
> Install the skill, and Claude debugs your code the way you would — not with print statements.
Jokes on you! I use print statements too!
From my years of watching people casually `curl randomsite.com/install.sh | bash` you might be a minority there
Fair point, MCP contribution was always optional, although not obvious. I've updated it to make manual contributions outside of MCP more prominent
Maybe I'm missing out, but I've never used a single MCP, ever.
I recommend using spotify mcp server (if you use spotify), it freed me from the loop of listening to the same stuff again and again :P
that's interesting and helpful.. I have like 2k+ liked songs and Spotify always plays the same ones... Will try it out, thanks
I use almost zero MCP servers. I do vibe a bunch of custom CLI tools with minimal access to do the things that support my workflows. Been happily integrating with all-the-things, while my companies MCP server connectivity changes daily based on security posture and firewall configs, etc....
I don't use any MCP servers except for Figma!
I stopped reading after "Ask them on X", but contribution by MCP just compounds on the issue.
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