Linux turned 35 today, Windows 95 turned 31 this week
Anthropic just added Unity’s official plugin to claude-plugins-official
Built by Unity Technologies with 18 Unity skills covering UI, graphics, monetization, localization, etc.
Run this command to install the marketplace:
/plugin marketplace add Unity-Technologies/unity-agent-plugin
Then install the plugin:
/plugin install unity
@unity-agent-plugin
Have fun... I’ll be testing it this weekend!
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Not following the AGENTS.md standard and sticking with CLAUDE.md is becoming a problem at scale
I haven’t felt it much since I mostly use Claude, but the friction is obvious when moving workflows or agents between tools
Standardizing such a critical file, one that’s sent with every LLM request, helps the whole ecosystem move forward
Let’s see how this plays out
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I’m thinking about banning Claude code at Shopify until they change their mind and read AGENTS.md and .agents/skills etc.
Insisting on only reading CLAUDE.md sometimes leads to split brain problems when different team members use different tools. Just unnecessary.
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Read this and learn from other people’s workflows
then adapt it to your own workflow... DON’T copy, ADAPT
It's intersting (and slightly enjoyable?) to see the amount of doubt about my workflow on Reddit: I don't know what to say other than it's real and you can absolutely be this productive (and I know several other people who are—even outside of Anthropic).
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Don’t switch models mid-session
Keep one model as the executor and use stronger models as advisors on demand
Or delegate specific tasks to subagents running different models
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Just FYI. If you are switching models in a session all the time - you are doing it wrong.
Every time you switch, your entire prompt cache is invalidated on the new model you switch to, and you have to repay the full input tokens price for all of it.
Stop doing this unless those models are free.
This is not a hermes thing - this is a fundamentals of inference thing.
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Are companies still building a “second brain”??
or is Claude Code + MCPs + wiki + embeddings enough?
Nothing like going for a run after work and seeing this… Michigan is awesome
Excellent paper on how to actually improve a harness
Think of a junior dev joining a team, their brain doesn't change, their notebook does... two months in they just make fewer dumb mistakes
Same here, the model stays identical, what changes is a folder of notes it loads before each task. Same idea as SKILL.md
Then they changed who decides the task failed
If the model grades its own work, the notes leave it worse than having no notes at all. If a unit test grades it, it goes up
So the reflection was never the valuable part, the verifier is. And that's the loop half of us are shipping right now
Link:
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Excellent upgrade for MCP distribution and security within organizations
CISOs are going to love this feature
Enterprise-managed auth for MCP connectors is now generally available.
For Claude Team and Enterprise admins, authorization is centralized through your identity provider.
For users, tools and data are connected automatically, without the need for individual OAuth.
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Build a cli, publish it to npm and pypi.
Add an mpc, llms.txt, markdown based docs, and a simple api
Stop building only for humans, start building the path for agents
Humans are no longer the biggest token consumers
Agentic tokens passed human ones on OpenRouter earlier this year. Today: 7.3T vs 1.4T
Your AI strategy isn’t training people on a tool. It’s building the paths and guardrails for agents to navigate your data
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Making progress on my Californication game with Claude Code Desktop, Threejs, and Higgsfield
- No, I didn’t build it with one prompt
- Yes, there’s a lot of iteration
- I have shared objects across all scenarios, like the red tokens
- And scenario-specific ones, like Bigfoot
Building games with Claude Code is fun. You don’t need endless loops or one massive prompt to make something cool
Just enjoy the process!
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Humans are no longer the biggest token consumers
Agentic tokens passed human ones on OpenRouter earlier this year. Today: 7.3T vs 1.4T
Your AI strategy isn’t training people on a tool. It’s building the paths and guardrails for agents to navigate your data
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AI video generation is becoming much more accessible
Seedance 2.0 Fast is now available in CapCut starting at $0.01/sec
The useful part for me is having generation and editing in the same place. You can generate a clip and continue working on it directly in the editor without switching tools.
Web:
App:
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Claude Code has worked best for me
I genuinely enjoy maintaining my open source repo
30K+ stars, 123 contributors and 146 PRs open right now
The best part... every PR brings a new Claude Skill, Subagent, Command, MCP, Hook, Setting, or Plugin that the community can use and install
Several companies are already getting more traffic and agent adoption simply by publishing their components on
If you want to contribute or drop a star, here’s the repo:
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Using this workflow, I’ve been able to push past the 4 agent limit without losing focus
Agent View becomes extremely powerful when combined with /fork and worktrees
Quick demo of how I use session to session messaging in Claude Code + Ghostty
(Save this and try it in your own workflows)
1- I always start with a regular session and a panel running claude agents
2- The first session becomes the orchestrator. It creates the initial context, then distributes the work across other sessions using forks
3- Each fork starts with that context + a prompt telling it what to work on
4- I rename each session with ctrl + r to keep things organized and make it easy to message them from the main session
5- Using @ I send messages to the sessions that are running and ask them to report their task status back, so the main session always knows what everyone is working on
This way, I only need 2 or 3 panels open and can switch between tasks as needed
The days of opening endless terminal panels and running Claude Code 100 times just to look productive are over!
What we need now is ORCHESTATION
one main session coordinating everything through session messaging + Agent View
And the key is context, build it in the main session first, then fork from there
That’s what makes the entire workflow click
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I have something similar in my main instructions for whenever I explicitly ask Claude to explain something
But I might replace it with this skill
Super simple, and I really like the idea of turning explanations into visual artifacts
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a skill people at Anthropic have been using a lot recently: ELI5
/eli5 <what you want explained>
"explain like I'm someone who knows nothing about this topic, using a HTML artifact with big pictures and few words"
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Quick demo of how I use session to session messaging in Claude Code + Ghostty
(Save this and try it in your own workflows)
1- I always start with a regular session and a panel running claude agents
2- The first session becomes the orchestrator. It creates the initial context, then distributes the work across other sessions using forks
3- Each fork starts with that context + a prompt telling it what to work on
4- I rename each session with ctrl + r to keep things organized and make it easy to message them from the main session
5- Using @ I send messages to the sessions that are running and ask them to report their task status back, so the main session always knows what everyone is working on
This way, I only need 2 or 3 panels open and can switch between tasks as needed
The days of opening endless terminal panels and running Claude Code 100 times just to look productive are over!
What we need now is ORCHESTATION
one main session coordinating everything through session messaging + Agent View
And the key is context, build it in the main session first, then fork from there
That’s what makes the entire workflow click
Show more
Claude Code 2.1.139 added /goal
You set a completion condition and Claude keeps working across turns until it's met
Works in interactive, -p, and Remote Control 👏