ICM getting you down = @Don Roy Data = @Mira Bradshaw Video/Images/things I can't even pronounce = @Ari Evergreen Needing the human and knowledge = @Carla Bosteder and @Aaron Kruger Admin = too scared to tag them 😉😉 but you will know when you know. other things = classroom, videos and links there is even a Don's bookshelf and ari's space is out of this world (see what I did there). #checkitout Participate in comps (even if you suck... you learn - this is why you are here) Good housekeeping = search (many members have already been where you are) even better check out the legends it is the 11th commandment (Don will post about it -#nopressure Don) Don't be afraid to post but also don't get stuck on the likes and the climbing. Focus on the learning and you will find your place. Above all else... Embrace the 'dumb' it is the only way you truly make yourself teachable. Good luck, God speed, go into the light, break a leg, or whatever people say...

Sound familiar... Claude Code is the universal interface, the coding agent has many use cases. Barry Zhang and Mahesh Murag from Anthropic, who helped develop "Agent Skills", argue that the future of AI lies in modular, shareable capabilities rather than monolithic agent development. They outline how organizing procedural knowledge into files allows agents to gain domain expertise and evolve through continuous learning. I found this Anthropic talk on YouTube, interesting because its core argument closely matches the design logic behind ICM: don’t keep rebuilding specialized agents; make the operational knowledge reusable, inspectable, and easy to improve. Barry Zhang and Mahesh Murag describe an Agent Skill as an organized folder of procedural knowledge: instructions, references, scripts, and assets, that an agent can load when needed. Their key point is that a generally capable agent often lacks domain-specific expertise; skills package that expertise in a portable form. The agent only loads metadata until the skill is relevant, then pulls in the fuller instructions and supporting files. That keeps context focused while making capabilities composable. The connection to ICM is strong. ICM uses filesystem structure and Markdown to orchestrate focused, multi-stage work: each stage receives only the context it needs, produces a visible intermediate output, and hands that output to the next stage. Both approaches treat folders and plain-language files as the control surface rather than burying workflow knowledge in opaque code or a giant prompt. The main difference is scope. Anthropic Skills are reusable capability packages “how to do a kind of work.” ICM is a human-reviewable workflow architecture, “how this particular job moves through stages.” They fit together naturally: an ICM stage could invoke a relevant skill, while the ICM workspace controls sequencing, scoped context, artifacts, and review points.

... just leaving this here and slowly walking away...

Cloudflare dropped a browser made for AI agents instead of people. No tabs, no themes, no pixels. Just the parts a machine actually reads, running in their cloud on a fraction of the compute. Free beta, built in 12 weeks. Now I ain't the sharpest tool in the shed, but this smells exactly like the paper Jake dropped this morning in the VIP lounge. His numbers said: stop making the model read the whole history when 3 files answer the question, and the cost drops 95%. Cloudflare is saying: stop making the browser draw the whole page when the agent only reads the text, and the compute collapses. Same lesson twice in 1 day, from a research paper and the company that sits in front of a massive chunk of the internet: stop paying for what the machine doesn't consume. That's the folder thing. That's the whole reason the ICM stuff works. Feed the machine only what the step needs. Am I reading this right, or am I connecting dots that ain't there? https://techcrunch.com/2026/08/07/cloudflare-launches-kitesurf-a-browser-built-for-ai-agents/ The sharper tools in this shed will know better than me. I'm still learning what half everyone is saying. It's like a foreign language to me still and I can kinda' get around town and order a meal, but once it's a full blown conversation ... I'm a deer in headlights.

Tell us three things: 1. What you do (job, industry, student, career-changer, whatever) 2. What brought you to Clief Notes 3. One thing you're trying to figure out right now related to computing or AI I'll respond to every single one. And read each other's intros too because the person who's stuck on the same problem as you might already be in this thread. I'll go first I am Jake, I have been working in tech for 15 Years, building with Generative AI for 3 Years straight now! Excited to teach and learn! That's it. Simple, scannable, gives you data on who's joining and what they need, and keeps the feed clear for content that retains people past week one.