Ryan Wigley
@rywigs
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I build systems to learn them. prev founder, founding pm (acquired), ex-amazon | 🏗️ https://t.co/AFWDgSR2J1
Seattle
Joined July 2013
this is such great advice for PMs looking to grow and, this level of fidelity scaling works well applied to builds w/ AI tools too
Most PMs write documentation backwards. They start with 10-page PRDs that nobody reads. Then wonder why engineers ignore them. Elite PMs do it differently. They use three document types, each with a specific purpose. Start with 1-pagers. They're decision documents, not
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I dig how it breaks out highlights for you smash that 'Liquid Glass Brutalism' aesthetic
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Damn, nice work Claude here's the output for "use the frontend-design skill. create a visually stunning weather app for Seattle"
We've released a new frontend-design plugin for Claude Code. Here's Claude's output for: "use the frontend design skill. Create a music player app."
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Built a Claude Skill for the 800+ screenshot graveyard on my phone. Upload a few → Claude turns it into structured notes. The “skill” is in how it hunts down podcast transcripts and books with ease. download here: https://t.co/TJth6ybpdW
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I wrote about building my own AI operating system - and how Skills are the breakthrough that makes it actually work. Skills are modular packages that make non-deterministic AI consistent. They bundle context, tools, and triggers that enforce how work gets done. Tech has spent 3
blog.ryanwigley.com
We (Tech) spent the last three years obsessing over how we interact with language models - chatbots, agents, AI-powered workflows. Meanwhile, a more fundamental shift has taken place: prompting is...
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it's not slop, your power (yarn) users haven't arrived yet
The Great Yarn Slop of the 1770s: Early in the Industrial Revolution, spinning was mechanized first (spinning cotton → yarn → cloth). England was flooded with yarn no hand weaver could absorb, until the power loom arrived a decade later. Feels like there’s a parallel today.
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Spent the morning dialing up retro sports scenes in @midjourney Feels like getting from the "vision in your heads" to "yup, exactly this" is 80% of prompt engineering now The other 20% is knowing less is more
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Interview-driven generation of context for RAG + Skills are the fastest way to make teams AI native Ironic how the first decade of adoption with AI tooling is going to come down to the best way to make what’s non-deterministic, as consistent as possible
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Really delightful touch for Anthropic to include a ton of their in-house example Skills Try out how a skill works for their branding/voice ➔ Compare to your own company/product ➔ Make your md files Let the skills begin
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