正在加载视频...

视频加载失败

返回首页

Do agents need skills? Here's 7,950 skills & workflows from GitHub mapped by what they actually do (out of 175,632 that I indexed). I ran evals on every skill: does it make the model's output better, or worse? Here's some findings👇

cyntro_py's profile picture

stepan

6,541 subscribers

13,850 次观看 • 2 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Adin Ross hit 4M YouTube subs without ever editing, titling, or thumbnailing a single video. I ran that side of it. Here's what actually drove the growth 👇
1:11

Adin Ross hit 4M YouTube subs without ever editing, titling, or thumbnailing a single video. I ran that side of it. Here's what actually drove the growth 👇

Celery

38,955 次观看 • 2 个月前

Claude Skills might be the biggest upgrade to AI agents so far! Some say it's even bigger than MCP. I've been testing skills for the past 3-4 days, and they're solving a problem most people don't talk about: agents just keep forgetting everything. In this video, I'll share everything I've learned so far. It covers: > The core idea (skills as SOPs for agents) > Anatomy of a skill > Skills vs. MCP vs. Projects vs. Subagents > Building your own skill > Hands-on example Skills are the early signs of continual learning, and they can change how we work with agents forever! Here's everything you need to know:
14:28

Claude Skills might be the biggest upgrade to AI agents so far! Some say it's even bigger than MCP. I've been testing skills for the past 3-4 days, and they're solving a problem most people don't talk about: agents just keep forgetting everything. In this video, I'll share everything I've learned so far. It covers: > The core idea (skills as SOPs for agents) > Anatomy of a skill > Skills vs. MCP vs. Projects vs. Subagents > Building your own skill > Hands-on example Skills are the early signs of continual learning, and they can change how we work with agents forever! Here's everything you need to know:

Akshay 🚀

286,218 次观看 • 9 个月前

Considering some of the terrible (and mandated) safety systems out there that are more of an irritant than anything, here's one from Renault that I actually do like.
1:12

Considering some of the terrible (and mandated) safety systems out there that are more of an irritant than anything, here's one from Renault that I actually do like.

LUDEN Automotive

16,074 次观看 • 10 个月前

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.
1:59

Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data analysis, and research - Build complex workflows using Anthropic's pre-built skills (Excel, PowerPoint, skill creation) and custom skills - Combine skills with MCP and subagents to create agentic systems with specialized knowledge - Deploy the same skills across Claude Code, the Claude API, and the Claude Agent SDK Join and learn to equip agents with the specialized knowledge they need for reliable, repeatable workflows.

Andrew Ng

888,862 次观看 • 6 个月前

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.
25:52

Skills are the quickest way to 10x the quality and consistency of what you get from Claude Code. And you don't need to be a developer to use them. Anthropic just published how they use hundreds of skills internally every day. Most skill tutorials are made for developers — if you're in marketing, sales, content ops, or GTM, you probably watched those and moved on. But skills are just as important for non-developers. A skill is just a reusable prompt with clear instructions for a specific task. Instead of prompting Claude the same way over and over, you build it once and invoke it every time. I have a skill for writing on LinkedIn. A different one for YouTube outlines. Another for X. Each platform has different rules, different voice, different structure — so each one gets its own skill. If you're doing something repeatedly, it's time to make a skill. The biggest mistake most people make: building skills as a single .md file. A single file dumps everything into context whether Claude needs it or not. Wastes tokens. Gets worse results. Skills should be folders. Here's the structure that works: skill.md — the orchestrator. Tells Claude which files to read and when. It doesn't contain rules itself — it's the playbook. instructions/ — separate files for voice, structure, scope. Claude only loads the one it needs for the current step. examples/ — good AND bad. Good examples show what success looks like. Bad examples show patterns to avoid — AI writing tells, weak hooks, generic CTAs. Most people skip bad examples. Don't. eval/ — a checklist that scores every output before you see it. "Does it have a clear hook?" "Is it free of AI buzzwords?" Pass or fail on each item. templates/ — output formatting so you get consistent structure every time. The three types of skills that matter most for non-developers: 1. Business automation. Writing a newsletter. Checking reports and drafting follow-ups. Running programmatic ad campaigns. Any workflow you repeat — build a skill for it. 2. Content templates. Landing page copy, meta ads, email sequences, SEO briefs. Each one has specific requirements. Each one gets its own skill. 3. Thinking partners. This is the one people miss. Skills don't have to produce output. They can help you think — an advisory board that reviews your work from your ICP's perspective, a coach that pressure-tests your strategy, an ideation partner that researches competitors before suggesting your next move. If you already have skills as .md files, here's the exact prompt to restructure them in the Anthropic approved format: "I want to restructure my Claude Code skill file. Right now my skill is a single .md file and I want to break it into a folder system following Anthropic's best practices. Read my current skill file, then restructure it into a folder with: a skill.md orchestrator, an instructions/ folder with separate files for each concern (voice, structure, scope), an examples/ folder with good and bad examples, an eval/ folder with a quality checklist, and a templates/ folder for output formatting. Keep all my existing rules and intent — just reorganize them into the modular structure." Paste that into Claude Code pointed at the folder where your skill lives. It handles the rest. A few caveats: 1. Don't add too many skills. Every skill adds context Claude has to process. 50 skills loaded means everything slows down. Start with 3-5 covering your most repeated workflows. 2. Vet skills before downloading. If you grab a skill from the internet, read what's inside first. Skills can include shell commands and scripts. Check what you're running. 3. Share what works. Build a skill that performs well, put it in a shared GitHub repo. Your marketing org gets shared skills for copywriting, SEO, ad copy — new hires invoke the skill instead of learning every playbook from scratch. Onboarding time drops dramatically. 4. Keep your skills updated. When you see output you love, add it as a good example. When you see a pattern you hate, add it as a bad example. The skill gets sharper every time. I made a full video walking through all of this — including a live build of two skills from scratch (no terminal, no code), the exact prompt I use to restructure old skills, and 5 pro tips from Anthropic's internal playbook. Share this with your non-developer friends that want to do more with AI; or bookmark it to come back to at a later time.

JJ Englert

29,322 次观看 • 4 个月前

The Railways Bill is set to deliver a once in a generation overhaul of Britain's railways. But what will it actually do, and what does this mean for passengers? Here's what you need to know 👇
0:44

The Railways Bill is set to deliver a once in a generation overhaul of Britain's railways. But what will it actually do, and what does this mean for passengers? Here's what you need to know 👇

Department for Transport

19,540 次观看 • 1 年前

Meet AMD Skills: A growing catalog of agent skills that helps AI coding assistants work more effectively with AMD hardware and software. Compatible with coding agents including Cursor, Claude Code, OpenAI Codex, and Gemini CLI, AMD Skills provides the knowledge, scripts, and best practices developers need to build faster on AMD. Why try it? → Install in seconds with the Skills CLI → Learn AMD best practices and workflows → Build AI applications from client to cloud → Pick only the skills you need Get started: npx skills add amd/skills Explore the project, install a skill, and let us know what you'd like to see next:
0:40

Meet AMD Skills: A growing catalog of agent skills that helps AI coding assistants work more effectively with AMD hardware and software. Compatible with coding agents including Cursor, Claude Code, OpenAI Codex, and Gemini CLI, AMD Skills provides the knowledge, scripts, and best practices developers need to build faster on AMD. Why try it? → Install in seconds with the Skills CLI → Learn AMD best practices and workflows → Build AI applications from client to cloud → Pick only the skills you need Get started: npx skills add amd/skills Explore the project, install a skill, and let us know what you'd like to see next:

AI at AMD

13,420 次观看 • 9 天前

I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎
0:23

I wish I found this sooner. 🫡 This open-source collection of Agentic UI Skills teaches AI coding agents how to build interfaces that feel polished, not just functional. You'll find specialized skills for things like: → Better User Interface → Better Typography → Better Colors → Better Layout → Better Accessibility ....& more Instead of relying on generic UI patterns, your AI agent can load the right design-engineering skill for the task at hand. If you're building modern frontends with AI coding agents, this is definitely worth bookmarking :) Source 🔗: github(DOT)com/jakubkrehel/skills Follow me for more amazing AI, Coding & Web Dev insights 💎

Ram Maheshwari

14,788 次观看 • 14 天前

Here's something I didn't know about McDonald's. In 2023 they made 9 billion dollars & it wasn't b/c of their burgers. They could care less if their burgers suck or not! That's not where they make their cash from. How do they make their money? Check out the one minute video
0:50

Here's something I didn't know about McDonald's. In 2023 they made 9 billion dollars & it wasn't b/c of their burgers. They could care less if their burgers suck or not! That's not where they make their cash from. How do they make their money? Check out the one minute video

ROCK ON OHIO

136,697 次观看 • 1 年前

yknow what this is facts tbh so here's the same run BUT i dont deviate from the path at all AND im only allowed to use level 5 combat skills or worse BUT NOT INCLUDING the Sho-Hog-Ken (Corrupted Technique of the Wicked) 35 seconds
0:35

yknow what this is facts tbh so here's the same run BUT i dont deviate from the path at all AND im only allowed to use level 5 combat skills or worse BUT NOT INCLUDING the Sho-Hog-Ken (Corrupted Technique of the Wicked) 35 seconds

Kafonn - PLAY SONIC SCRAMBLE

21,671 次观看 • 1 年前

Barry Zhang and Mahesh Murag from Anthropic (MCP creator) made it official: "Don't Build Agents. Build Skills Instead." so the marketplace did. it went from 16 official skills in October 2025 to 900,000+ community skills by May 2026. i tested 247 of them. kept 23. > Anthropic gave the mandate. the community shipped 56,250x supply > 90.7% deletion rate isn't a quality bug. it's what happens when "build skills" becomes everyone's homework > the 23 i kept all enforce one thing. Anthropic's actual point: skills as composable building blocks, not feature wrappers > the 224 i deleted all missed it, they wrapped features Claude already does, just packaged louder their talk explains why the format wins. my breakdown shows which 23 actually deliver on it. watch the talk. read the breakdown. install fewer skills.
15:31

Barry Zhang and Mahesh Murag from Anthropic (MCP creator) made it official: "Don't Build Agents. Build Skills Instead." so the marketplace did. it went from 16 official skills in October 2025 to 900,000+ community skills by May 2026. i tested 247 of them. kept 23. > Anthropic gave the mandate. the community shipped 56,250x supply > 90.7% deletion rate isn't a quality bug. it's what happens when "build skills" becomes everyone's homework > the 23 i kept all enforce one thing. Anthropic's actual point: skills as composable building blocks, not feature wrappers > the 224 i deleted all missed it, they wrapped features Claude already does, just packaged louder their talk explains why the format wins. my breakdown shows which 23 actually deliver on it. watch the talk. read the breakdown. install fewer skills.

Mnimiy

37,934 次观看 • 3 个月前

Everyone is sleeping on MiniMax Agent. It's like Clawdbot + Claude Cowork + Agent Skills combined. But more polished. I tested it by feeding an AI paper and asking it to create a presentation. I expected something basic. The output was actually usable. Good structure, relevant visuals, clean export. Watch the demo below. But presentations are just the start. Here's what else you can do with it: - Deep research via search, browser use, and MCPs - Build Full-stack apps with auth, DB, and Stripe - Connect to GitHub, Figma, Slack out of the box - Custom MCPs for your specific workflows - Multimodal, supports videos, audio, and images Just describe what you need, and it gets it done for you. One feature I really liked is the ability to roll back and re-run from any step using checkpoint restore if you make a wrong turn. Link to download the desktop app in the next tweet.
0:27

Everyone is sleeping on MiniMax Agent. It's like Clawdbot + Claude Cowork + Agent Skills combined. But more polished. I tested it by feeding an AI paper and asking it to create a presentation. I expected something basic. The output was actually usable. Good structure, relevant visuals, clean export. Watch the demo below. But presentations are just the start. Here's what else you can do with it: - Deep research via search, browser use, and MCPs - Build Full-stack apps with auth, DB, and Stripe - Connect to GitHub, Figma, Slack out of the box - Custom MCPs for your specific workflows - Multimodal, supports videos, audio, and images Just describe what you need, and it gets it done for you. One feature I really liked is the ability to roll back and re-run from any step using checkpoint restore if you make a wrong turn. Link to download the desktop app in the next tweet.

Akshay 🚀

23,124 次观看 • 6 个月前

Here's my favorite Codex Skill i've created (This is very specific to my workflow, not sure how useful you guys will think it is) /todo allows me to organize all the tasks my agents do along with the documents it creates and deep links to the session it was created. I post all my skills here @chorusskills
1:56

Here's my favorite Codex Skill i've created (This is very specific to my workflow, not sure how useful you guys will think it is) /todo allows me to organize all the tasks my agents do along with the documents it creates and deep links to the session it was created. I post all my skills here @chorusskills

Riley Brown

41,174 次观看 • 3 个月前

SOMEONE JUST OPEN-SOURCED AN AI THAT SEARCHES EVERY MAJOR PLATFORM AT ONCE Reddit, X, YouTube, Hacker News, TikTok, Polymarket, GitHub not one by one - PARALLEL it ranks results by what real people actually do: - upvotes from Reddit - likes and timing from X - real money predictions from Polymarket - commits and PRs from GitHub then generates ONE brief 28,700+ stars on github 2,400+ forks. MIT license. Google is strong on the web ChatGPT has some access neither of them touches this combination setup guide (2 minutes): Claude Code: > /plugin marketplace add mvanhorn/last30days-skill Hermes: > npx skills add mvanhorn/last30days-skill -g -a hermes Cursor / Codex / Copilot / Gemini CLI: > npx skills add mvanhorn/last30days-skill -g then run it: > /last30days bitcoin > /last30days "OpenAI vs Anthropic" > /last30days [any topic] no API keys needed for Reddit, Hacker News, Polymarket, and GitHub X works if you're already logged into x. com in your browser YouTube: brew install yt-dlp repo in replies
1:19

SOMEONE JUST OPEN-SOURCED AN AI THAT SEARCHES EVERY MAJOR PLATFORM AT ONCE Reddit, X, YouTube, Hacker News, TikTok, Polymarket, GitHub not one by one - PARALLEL it ranks results by what real people actually do: - upvotes from Reddit - likes and timing from X - real money predictions from Polymarket - commits and PRs from GitHub then generates ONE brief 28,700+ stars on github 2,400+ forks. MIT license. Google is strong on the web ChatGPT has some access neither of them touches this combination setup guide (2 minutes): Claude Code: > /plugin marketplace add mvanhorn/last30days-skill Hermes: > npx skills add mvanhorn/last30days-skill -g -a hermes Cursor / Codex / Copilot / Gemini CLI: > npx skills add mvanhorn/last30days-skill -g then run it: > /last30days bitcoin > /last30days "OpenAI vs Anthropic" > /last30days [any topic] no API keys needed for Reddit, Hacker News, Polymarket, and GitHub X works if you're already logged into x. com in your browser YouTube: brew install yt-dlp repo in replies

Isra

38,760 次观看 • 2 个月前

CLAUDE CODE IS NOW MY VIDEO EDITOR 📽️ I LOVE WHAT IT CAN DO WITH THIS REMOTION SKILL I asked it to make me a showcase for my project: SFX/Music/Images (besides the characters) was genned & stitched by Claude using other skills! besides my feedback, this was FULLY autonomous
0:20

CLAUDE CODE IS NOW MY VIDEO EDITOR 📽️ I LOVE WHAT IT CAN DO WITH THIS REMOTION SKILL I asked it to make me a showcase for my project: SFX/Music/Images (besides the characters) was genned & stitched by Claude using other skills! besides my feedback, this was FULLY autonomous

BOOTOSHI 👑

224,347 次观看 • 6 个月前

Can someone please explain what the hell kinda wallets do this? Is this some AI tech for the trenches or wht I see a gazillion if these wallets in every coin but not to this extent. Does anyone actually know or do they just pretend they do?
0:25

Can someone please explain what the hell kinda wallets do this? Is this some AI tech for the trenches or wht I see a gazillion if these wallets in every coin but not to this extent. Does anyone actually know or do they just pretend they do?

Pumpa /https://dev/

27,768 次观看 • 6 个月前

Most people don't know the difference between skills, subagents, and MCPs. Here's the simple breakdown: Skills: Written guides that tell the LLM exactly how to do a task "Analyze spreadsheets this way" or "write emails in this voice" Reusable. Consistent output. Subagents: Extra copies of the LLM, each with its own job - You review code. - You write tests. - You update docs. Work happens in parallel. Stays organized. MCPs: - Universal power plug for external tools - Need to update Linear tickets? Access your database That's MCP. Think: - Skills = how to do something - Subagents = who does what (in parallel) - MCPs = what tools you can reach Play around with all three. That's where it clicks.
1:18

Most people don't know the difference between skills, subagents, and MCPs. Here's the simple breakdown: Skills: Written guides that tell the LLM exactly how to do a task "Analyze spreadsheets this way" or "write emails in this voice" Reusable. Consistent output. Subagents: Extra copies of the LLM, each with its own job - You review code. - You write tests. - You update docs. Work happens in parallel. Stays organized. MCPs: - Universal power plug for external tools - Need to update Linear tickets? Access your database That's MCP. Think: - Skills = how to do something - Subagents = who does what (in parallel) - MCPs = what tools you can reach Play around with all three. That's where it clicks.

The Startup Ideas Podcast (SIP) 🧃

36,675 次观看 • 7 个月前

BREAKING: Claude Opus 5 is OUT NOW! And…it’s a hard model to love. We’ve spent the last week Every 🧱 testing it across coding, writing, knowledge work, and our internal agent. It argued with instructions, stopped before the work was finished, and generally didn’t play well with our existing skills and plugins like Compound Engineering. Our first reaction was: What have they done to my boy? Then we deleted our existing skills and started from scratch. Without the elaborate workflows we had built for earlier models, Opus 5 got dramatically better, and even showed flashes of brilliance. Here’s our Day 0 vibe check: - It’s a poor man’s Fable. It has many of Fable’s personality quirks without Fable’s genius. - It breaks backward compatibility. If you’re using it with existing skills and workflows, watch out. It will often stop early or otherwise miss your instructions. - If you start from scratch, you’ll have better results. Kieran Klaassen figured out that if he just started from scratch without his existing skills, he could get dramatically better results. This is a model that takes some time to rebuild your workflows around—but if you do, there’s a payoff waiting. - Medium or low effort works better. @KieranKlassenn also found better results using Opus 5 on lower thinking levels. It seems that the more time you give it to think, the more likely it is to do the more annoying behaviors. Don’t just switch to Sonnet for a faster response! Try low thinking. I have two slots in my workflow: 1. The genius model I use for my biggest hardest tasks, currently Fable. 2. The smart, fast generalist I use for everything else, currently GPT-5.6. Opus 5 has the personality of the genius, but doesn’t have its top end. So that puts it in a strange middle ground that doesn’t really have a home in my day to day. I think I’ll use it mostly when I run out of Fable tokens. full vibe check on Every 🧱 in the next tweet 👇
9:34

BREAKING: Claude Opus 5 is OUT NOW! And…it’s a hard model to love. We’ve spent the last week Every 🧱 testing it across coding, writing, knowledge work, and our internal agent. It argued with instructions, stopped before the work was finished, and generally didn’t play well with our existing skills and plugins like Compound Engineering. Our first reaction was: What have they done to my boy? Then we deleted our existing skills and started from scratch. Without the elaborate workflows we had built for earlier models, Opus 5 got dramatically better, and even showed flashes of brilliance. Here’s our Day 0 vibe check: - It’s a poor man’s Fable. It has many of Fable’s personality quirks without Fable’s genius. - It breaks backward compatibility. If you’re using it with existing skills and workflows, watch out. It will often stop early or otherwise miss your instructions. - If you start from scratch, you’ll have better results. Kieran Klaassen figured out that if he just started from scratch without his existing skills, he could get dramatically better results. This is a model that takes some time to rebuild your workflows around—but if you do, there’s a payoff waiting. - Medium or low effort works better. @KieranKlassenn also found better results using Opus 5 on lower thinking levels. It seems that the more time you give it to think, the more likely it is to do the more annoying behaviors. Don’t just switch to Sonnet for a faster response! Try low thinking. I have two slots in my workflow: 1. The genius model I use for my biggest hardest tasks, currently Fable. 2. The smart, fast generalist I use for everything else, currently GPT-5.6. Opus 5 has the personality of the genius, but doesn’t have its top end. So that puts it in a strange middle ground that doesn’t really have a home in my day to day. I think I’ll use it mostly when I run out of Fable tokens. full vibe check on Every 🧱 in the next tweet 👇

Dan Shipper 📧

751,726 次观看 • 19 天前