New skill: /improve-animations Inspired by @shadcn’s improve skill I made one specifically for animations. Use your most capable model to audit animations in your project and hand the execution to cheaper models. Fable is available through July 12, so make good use out of it!
@shadcn github.com/emilkowalski/skills
@emilkowalski
▶@toolfoliodesign engineering is not animations
https://micro.bossadizenith.me/writing/animations@bossadizenith
▶@nextjs
▶@JulianGarnier
▶@arlanoska≡ 2
@heynavtoor
▶@abouelatta_ali
@om_patel5
▶@stephenhaney≡ 3
▶@coreyhainesco
▶@mds@derekmeegan i make all of these on http://shadertoy.com!@instance_11big thanks to all the supporters
of my wiggle bones library
https://wiggle.three.tools/
it is being put to great use@KMkota0
@ctatedev
▶@ZingadePiyush
▶@alibey_10A single place to browse, compare, and install Clawdbot skills by intent.
Built for fast discovery and practical use.
GitHub Repository:
https://github.com/VoltAgent/awesome-clawdbot-skills@GithubProjects
▶@jakubkrehel
@matsugfx
▶@NousResearch
▶@Xaraphim+1
▶@ElijahKurienMight have some bugs, working on it. dm me if you find anything. mobile is okay rn but better mobile version soon. more effects + better ascii/dither algorithms coming over the next few days/weeks https://grainrad.com@almmaasogluI took the @karpathy autoresearch loop and pointed it at markets.
25 AI agents debate macro, rates, commodities, sectors, and single stocks daily. Every recommendation scored against real outcomes. Worst agent by rolling Sharpe gets its prompt rewritten by the system. Keep or revert. Same loop, prompts are the weights, Sharpe is the loss function.
Trained the agents on 18 months of market data. 378 iterations. 54 prompt modifications, 16 survived.
The system learned which agents to trust using Darwinian weights — geopolitical, commodities, and the @BillAckman quality compounder rose to the top.
The agents even figured out their own portfolio manager was the weakest link before we did!
Deployed the trained agents. +22% in 173 days. Best pick: AVGO at $152, held for +128%.
The final prompts are evolutionary products — shaped by market feedback, not human intuition. Now running live with my own capital.
https://github.com/chrisworsey55/atlas-gic
Part hedge fund, part research experiment :)@Chris_Worsey
@haydenbleasel
@bbssppllvv
@OpenRouter≡ 10+2This is a Claude Code Skill, a refined security knowledge base based on 88,636 real vulnerability cases collected by WooYun from 2010 to 2016.
After installing this Skill, Claude can think about vulnerability issues like a senior security expert. #AiSecurity
https://github.com/tanweai/wooyun-legacy@blackorbird