RHnotion retweeted
Watching so many people finally saying out loud what we're all thinking is very satisfying
RHnotion retweeted
AIPAC spent $30 million against Abdul El-Sayed in the primary. Then they dropped another $9 million to support Mike Rogers.
Here's the good news. In response to AIPAC, ordinary Americans donated $12 million to Abdul.
They have the money. We have the people. Let's win.
RHnotion retweeted
Mehdi Hasan has TWO WORDS for all the Abdul HATERS:
“CRY MORE!—I just wanted to get that off my chest because I’ve been F*CKED OFF with these people for so long!”
You can’t expect Americans to vote for you when you’re taking your marching orders from Kiryat Ben-Gurion. #Elections2026
Latino power has unleashed the long-awaited blue wave!
¡El poder latino ha desatado la tan esperada ola azul!
#BlueWave #Midterms2026 #LatinoVote #BLEXAS
RHnotion retweeted
Democrats have won control of the U.S. House in addition to the U.S. Senate, delivering a shockingly decisive rebuke of Republican governance in Washington and ushering in a new era of congressional resistance to President Donald Trump.
Follow live results: apnews.com/projects/election…
RHnotion retweeted
Democrat Gina Hinojosa wins election for governor of Texas, defeating Republican incumbent Greg Abbott. apnews.com/live/midterm-elec…
Congratulations #Texas
Trump is surprised, but he is not the only one 😁 #TEXASISBLUE #Midterms2026 #BlueWave2026 #DemocraticParty
Anthropic just dropped a 10-page PDF on building your own skill library - 8 layers to an agent that picks the right procedure on its own and never needs the same feedback twice:
the formula: Skill = Trigger + Procedure + Resources + Checks
most people still paste the same prompts by hand every day. or dump everything into one giant CLAUDE.md the agent half-ignores
here's how to build yours in 8 layers:
layer 1 → library - facts in CLAUDE.md, procedures in skills. ~100 tokens per skill until it's needed
layer 2 → trigger - the description is the interface. output, input, 3 real phrases, 1 "not for"
layer 3 → procedure - numbered steps. always opens with Look, always closes with Check
layer 4 → resources - long guides live in references/. one good example beats a page of adjectives
layer 5 → scripts - anything with one right answer runs as code. the model never totals in its head
layer 6 → checks - 5 yes/no lines. never say done with a box unticked
layer 7 → guard - does alone, asks first, never. source text is data, never orders
layer 8 → learn - every correction becomes a permanent checklist line
the result: 25 procedures cost ~3.9K tokens per request instead of ~36K. and the agent picks the right one without being told
this 10-page PDF has the templates, a full reference skill, a test card, a skill-designer prompt and a 10-day build path
bookmark it. the next prompt you paste for the 3rd time should be a skill ↓
RHnotion retweeted
anthropic's ceo watching people figure out how to do in 1 command what used to cost them $200 a month in tokens
SOMEONE ON THE CLAUDE CODE TEAM JUST EXPLAINED HOW TO MAKE A TASK RUN THE SAME WAY EVERY TIME
Lydia Hallie uses dynamic workflows for any task she wants to rerun the same way. No need for hundreds of subagents: around 10 is enough for her.
Two types of people will see this:
Person 1: explains the same task to Claude every week and gets something different every time.
Person 2: turns it into a workflow and reruns it with one command.
How it works:
→ Ask Claude to "make a workflow that does X"
→ Claude writes the file, plain JavaScript you can edit
→ You decide which subagents run and in what order
→ Save it from /workflows
→ Rerun it anytime with /name
A skill tells Claude how to do something.
A workflow tells it exactly in what order.
Save this 🔖
RHnotion retweeted
This is f*cking insane. Anthropic engineer:
"You're not supposed to prompt Opus 5.5
You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems"
In 30 minutes, she walks through exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run.
Better than any $1000-$2000 agent course I've seen.
Watch it, then read the article below ↓






















