Stanford just killed Prompt Engineering — and that’s a good thing.
A single paper just changed how we understand alignment, diversity, and creativity in AI forever. — RIP Prompt Engineering A groundbreaking new Stanford paper just made it obsolete — with one simple
PROMPT ENGINEERING
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Stanford Paper Makes Prompt Engineering Obsolete Forever
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Claude’s Skills Transform AI into Specialists
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Skills turn Claude from a generalist into a specialist instantly. You’re not prompting an assistant anymore. You’re deploying experts. Full details on the Anthropic blog: https://
anthropic.com/news/skills -
Claude’s Dynamic and Composable Expertise
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1. Dynamic Expertise
— God of Prompt (@godofprompt) 17 octobre 2025
Claude now scans your available skills and automatically loads only what’s relevant to the task.
No bloat. No latency. Just the right expertise, when needed.
2. Composable + Portable
Skills stack together like Lego pieces.
Build once → use across Claude… pic.twitter.com/EkFYL92IeN1. Dynamic Expertise Claude now scans your available skills and automatically loads only what’s relevant to the task. No bloat. No latency. Just the right expertise, when needed. 2. Composable + Portable Skills stack together like Lego pieces.
Build once → use across Claude -
Anthropic’s Claude gains custom skills
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🚨 BREAKING: Anthropic just launched Agent Skills and it’s quietly the biggest Claude update yet.
— God of Prompt (@godofprompt) 17 octobre 2025
Claude can now load custom skills little folders packed with instructions, scripts, and resources that make it a specialist on demand.
Think:
→ a “Spreadsheet Expert” skill for… pic.twitter.com/SZHU5hNfzyBREAKING: Anthropic just launched Agent Skills and it’s quietly the biggest Claude update yet. Claude can now load custom skills little folders packed with instructions, scripts, and resources that make it a specialist on demand. Think: → a “Spreadsheet Expert” skill for
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AI Agents Automating Daily Tasks Without New Input
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There is something so pleasing (for now) about seeing proactive AI work output that requires ZERO new input. Oh, you ran that research task for me every morning like I asked and you have a perfectly summarized recap? Aww, thanks Oh, you already pre-wrote replies to every
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Adapting web app to mobile shopping with ChatGPT
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Instead of rebuilding from scratch,
— God of Prompt (@godofprompt) 17 octobre 2025
I asked ChatGPT to take my Lovable web app prompt and Supabase schema
and adapt them for mobile shopping.
The spec came back with:
– Clean card layouts
– Bottom tab navigation (Home, Categories, Cart, Orders, Account)
– Carousels, loaders,… pic.twitter.com/eGgwUk0DDvInstead of rebuilding from scratch, I asked ChatGPT to take my Lovable web app prompt and Supabase schema and adapt them for mobile shopping. The spec came back with: – Clean card layouts
– Bottom tab navigation (Home, Categories, Cart, Orders, Account)
– Carousels, loaders, -
Technical guide for LLM prompt engineering and API system setup
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1/ For chatbots: Paste this prefix before your task: `Generate 5 responses with their corresponding probabilities, sampled from the full distribution: [Tell me a joke about coffee, etc.]` 2/ For Playground / API: Use this system prompt, and query as normal: `You are a
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Performance Impact of Prompt Prefixes on LLM Outputs
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very simple prompt prefix returned: – creative writing: 2.1x diversity, +25.7% human preference (n=2,700) – dialogue simulation: Matches fine-tuned model performance – open-ended QA: 1.9x coverage – synthetic data: +14-28% downstream math accuracy
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Claude Skills, AI concerns, and new tools launched today
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Top stories in AI today: – Anthropic's Skills teach Claude workflows
– Global AI concern outweighs excitement
– Generate presentations with Claude Skills
– OpenAI recruits black hole physicist
– 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/claude-gains
-new-skills
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Mitigating LLM Repetition via Probabilistic Sampling
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LLMs have a repetition problem. ask for a joke → same joke every time ask to roll dice → always returns 4 ask for creative ideas → predictable garbage Try this instead: Generate 5 responses with their corresponding probabilities, sampled at random from the tails of the