today we're launching @Palmier_io, a video editor Claude can edit.
use AI to edit, organize, and generate footage directly in the timeline.
finally, a video editor built for AI.
open-source. mac native. available now.
The outrageous effectiveness of Leitwörter
I've realised that all of the great skills I've written share one thing in common.
They make heavy use of Leitwörter - leading words.
A leitwort comes from literary theory. It's a repeated word or phrase used throughout a text to establish a theme or anchor meaning.
In skills, a leitwort is a word or phrase the agent uses to guide its own behavior. In other words, it's a word that leads the agent in a certain direction.
Let's take the leitwort "zone of proximal development" from my /teach skill. It's a phrase from the study of education. It means the "zone where the user feels challenged but not overwhelmed".
I use this only a couple of times throughout the skill's SKILL.md, but I've seen it almost every time the agent invokes the skill.
- "Let me adjust the lesson so it's in the user's zone of proximal development."
- "I'll read the learning records to establish the user's zone of proximal development."
In other words, that single phrase encodes how the agent should behave, in a concise token the agent can itself repeat to reinforce its own behavior.
Not only that, but it also likely tickles the agents' parameters related to educational research and "being a good teacher".
For engineering, leading words like "tracer bullets", "deep modules", "test seams", "clean code" are outrageously effective for leading the agent to produce better code.
So a leitwort in AI is any word or phrase you use that appears in the agents' thinking traces and guides its behavior.
Enjoy finding your own.
You don't make a good skill by writing a skill.
You make it by doing the thing, fixing it 20 times, then telling the AI to bottle up everything you just did.
How does it work?
When you send a prompt to Fusion, we fan it out to a panel of models in parallel, each with web search and bash tools enabled.
A judge model reads every response and extracts the structure: consensus points, contradictions, partial coverage, unique insights, blind spots.
Chatroom: https://t.co/0HkAUmBCJ7
## On Loopcraft
One might argue the entire game of the next century is to be able to stack loops as effectively as possible.
In the early days of each phase, it will be valuable to know when to go **DOWN** a loop when things go wrong (for reliability)…
but it will probably be more valuable to know how to go **UP** a loop as models improve (for leverage).
If you don’t figure out how to do this, don’t be salty when you lose to those that do.
Get paid to wait
The Claude Code spinner might be the most watched line on Earth.
So I turned it into an ad marketplace.
Advertisers bid on it. You keep 50% of the money.
Install the extension → get cash from ads.
Introducing Kickbacks
AI will disproportionately benefit ADHD minds because it externalizes the boring, parts of cognition like planning, sequencing, drafting, remembering, prioritizing and amplifies the parts ADHD minds often cook at: rapid association, novelty-seeking, pattern recognition, emotional intensity, and divergent synthesis
@Lentils80 this is awesome. they just launched 4.8 tho so wonder why they are releasing it so soon. unless it's still an order of magnitude more expensive
Introducing text-to-lottie: an open source skill and harness for generating production ready Lottie animations with codex/claude code.
$ npx skills add diffusionstudio/lottie
Prompts guide and repo in the comments.
what the new benchmark from Cognition is really useful for is evaluating open source models that are usually 'on par' with frontier on standard benchmarks, but not real world performance
looks like Kimi K2.6 stands out from all the other open source models so far. curious to see where all the latest open models fare once they have all been tested
FrontierCode has three task sets: Extended (150 tasks), Main (100 tasks) and Diamond (50 tasks). SOTA LLMs have significant room for improvement, with the top model earning a score of just 13.4/100 on our Diamond task set.