Epsi 👾
1.1K posts

Epsi 👾
@FreeEpsi
I've seen things you people wouldn't believe... 👀 $DEVVE $FIAS 2 tokens, 1 road to freedom.









🚨 BREAKING: NVIDIA just removed the biggest friction point in Voice AI They open-sourced PersonaPlex 7B, a real-time conversational model. It listens and speaks simultaneously to handle natural interruptions and overlaps. 100% Open Source.


I run 10 social media accounts and don't write a single post manually the secret: a skill graph 30+ markdown files wired together that turned my AI agent into a full content team where to build it: - @obsdmd (to write + visualize the graph) - or just a regular folder of .md files on your desktop what tools run it: - claude, chatgpt, or cursor as the AI agent - @arscontexta plugin for claude code (generates the base structure automatically), find it in article below the folder structure: /content-skill-graph ├── index.md (entry point which maps every node) ├── platforms/ (x.md, linkedin.md, ig.md, tiktok.md...) ├── voice/ (brand-voice.md, platform-tone.md) ├── engine/ (hooks.md, repurpose.md, scheduling.md) └── audience/ (builders.md, casual.md) each file = one knowledge node inside each file you add [[wikilinks]] to related nodes example — inside x.md: "use [[hooks]] — contrarian hooks perform best here. match [[brand-voice]] but more casual. audience is [[builders]]. write this FIRST, then expand for [[linkedin]]. see [[repurpose]]" the links are the graphs. the agent follows them automatically the key file is index.md, your entry point / briefing, not a file list. put 3 things in it: 1. who you are + what this system does "content system for [your brand]. manages 10 accounts from one idea input" 2. the node map with context - [[x]] — short-form, hook-driven, 280 chars, 5x/week - [[linkedin]] — long-form narrative, professional, 3x/week - [[hooks]] — formulas that stop the scroll - [[repurpose]] — 1 input → 10 outputs (every node listed with a one-line description) 3. execution instructions "when given a topic: read relevant nodes, apply voice + hooks, run repurposing chain, output one native post per platform. each post ready to publish" you paste this into claude as context → give it a topic → done now here's the part most people get wrong about the output: it's NOT 10 copies of the same text reformatted for each platform it's 10 pieces that each THINK about the topic differently: > x: contrarian thread, lowercase casual, step-by-step > linkedin: personal narrative, professional tone, 1500 words > instagram: 7-slide carousel, visual-first, bold claim on slide 1 > tiktok: 45-sec raw screen recording script > youtube: SEO title + structured outline, 8-min format same topic. different angle, hook, voice, structure, format per platform the graph encodes all those rules. the agent follows them this replaced $8-12k/mo in content spends @arscontexta built the framework and I pointed it at content production summarize: one flat file gives you a tool (a simple .md file) a graph gives you a team (a system with 30+ sub-graphs) if we collect 500+ Likes on this tweet ❤️ I release my full workflow and show you step-by-step how you can setup the same skill graph hope you loved it.













