Axionary skill

Still asking “What the F**K do I do with all this information?” You’re drowning. Data hits you like a firehose, and your brain just short-circuits. FOMO is real, but paralysis is deadlier.

Oh, here we go. Another guru talking about AI assistants. Nope. This isn’t about some fluffy chatbot. This is for the people who are sick of thinking and ready to *do*. Stop wasting your mental bandwidth on noise.

You’re throwing tokens and cash at AI like a drunk sailor, hoping it’ll magically fix your shit. Solo founders, entire teams – everyone’s doing it wrong. You’ve got a million tools, but zero context. That’s why your AI efforts are a joke.
It doesn’t matter if you hand a task to a contractor, an employee, or an AI agent. If you don’t know what needs to be done, and what “good” looks like, you’re just burning money. Endlessly.

Your fancy AI assistant? It’s a glorified dumpster fire. Dump all your Slack, Zoom transcripts, and docs into it, and it’ll confidently, expensively, and *wrongly* wander off. Missing key details, making shit up.
It’s not the AI’s fault. You fed it a garbage heap, not a targeted context.
And your “knowledge bases”? Vector indexes, RAG, graphs – they find *similar* stuff. But “similar” and “what I need to do RIGHT NOW on this specific problem” are two entirely different beasts.
I’m showing you a trick I use daily: it doesn’t tell you *what the data is about*. It tells you *WHAT TO DO* with it.

Here’s how it works.
You drop any artifact – article, note, report, email, meeting transcript – into an input.
My system doesn’t break it down by topic. It breaks it into *actionable cards*: what needs to be done.
Each card gets a functional vector (strategy, product, engineering, 200+ more) and links to everything else you’ve accumulated.
The output isn’t a file dump. It’s a navigable graph of cards: premise, hypothesis, what to do, what you risk if you don’t. All linked back to the raw source. Git tracks the history.
Plug it in via mcp obsidian hybrid search. Start working.

I don’t believe in single-prompt bullshit. I believe in a pipeline: Research → Synthesis → Action.
AI is an operational layer, not a toy for prompt engineering. This is how I build agentic pipelines, my “next move engine.”
It’s built on Obsidian, so you can build anything on top.

This is your unfair advantage.
Stop watching work start strong and then die a slow, painful death across Zoom, Slack, and forgotten tickets.
Go check out the repo: dobryakov/axionary.
I use this shit every day. I want to see what it does for *your* operations.
If this pain sounds familiar, and you want to run it on your own flow or pilot it together – you know where to find me.
And if you know someone drowning in data, do them a favor and share this. They’ll thank you later.