🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
An Anthropic engineer said:
“You’re not supposed to prompt Claude. You’re supposed to build a system that prompts itself.”
This is one of the smartest AI workflows I’ve seen in a while.
In this video, he explains how most people are leaving a huge amount of Claude’s potential on the table:
• The 14% performance boost hidden in CLAUDE.md before you even type your first prompt
• Powerful plugins that most users have never installed
• A caching setup that keeps costs low while maintaining a ~95% hit rate
• Why starting every conversation from scratch is one of the slowest ways to use Claude
If you’ve been using Claude for months and never moved beyond the chat window, you’re still running a single project when you could be operating an entire team of AI systems.
Skip another episode tonight and watch this instead.
And save it before it disappears from your feed.
Full guide in the article below.
🚨Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.
Taught by the people who built it.
Free. No registration. No paywall.
I've seen $300 courses that don't cover what they teach in the first 8 minutes.
Watch it and bookmark it now.
Instead of watching an hour of Netflix, watch this 2 hour hour Stanford lecture will teach you more about how LLMs like ChatGPT and Claude are built than most people working at top AI companies learn in their entire careers.
After 3 years using Claude, I can say it’s the technology that has revolutionized my life.
Here are 18 prompts I use daily that have transformed my day to day; they could do the same for you:
(Save this 🔖)
Stop wasting hours trying to learn AI.
I have already done it for you.
With one list. Zero confusion. And no fluff.
📹 Videos:
1. LLM Introduction: https://t.co/bMRAn6wZjI
2. LLMs from Scratch: https://t.co/Ir8C1FYJfI
3. Agentic AI Overview (Stanford): https://t.co/JcqJe7f10I
4. Building and Evaluating Agents: https://t.co/akI7XzGWao
5. Building Effective Agents: https://t.co/zy0xGI30pV
6. Building Agents with MCP: https://t.co/pFqnqCitNb
7. Building an Agent from Scratch: https://t.co/lKsN7FRgKQ
8. Philo Agents: https://t.co/9OW5PNvYog
🗂️ Repos
1. GenAI Agents: https://t.co/sSWrZxWeX4
2. Microsoft's AI Agents for Beginners: https://t.co/vYpQhVWL1f
3. Prompt Engineering Guide: https://t.co/w7BfPvvGU0
4. Hands-On Large Language Models: https://t.co/w4Q0vjpDjY
5. AI Agents for Beginners: https://t.co/vYpQhVWL1f
6. GenAI Agents: https://t.co/O6UXaA0ypt
7. Made with ML: https://t.co/IPRN7L2wtU
8. Hands-On AI Engineering: https://t.co/fN5wHePbVJ
9. Awesome Generative AI Guide: https://t.co/YQtoRsmon6
10. Designing Machine Learning Systems: https://t.co/4eAAsbAt0G
11. Machine Learning for Beginners from Microsoft: https://t.co/fBwul6D6Gn
12. LLM Course: https://t.co/OEoHYLTeRr
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/bwu52nFofs
2. Google's Agent Companion: https://t.co/prYAraSYrX
3. Building Effective Agents by Anthropic: https://t.co/YhO4mr1hZ5
4. Claude Code Best Agentic Coding practices: https://t.co/am6G3FZEjQ
5. OpenAI's Practical Guide to Building Agents: https://t.co/CprH79NJ0L
📚 Books:
1. Understanding Deep Learning: https://t.co/XTBdFIvK5i
2. Building an LLM from Scratch: https://t.co/NsDScPSfbQ
3. The LLM Engineering Handbook: https://t.co/Jp7jiimHh5
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/NZF7HqlNLK
5. Building Applications with AI Agents - Michael Albada: https://t.co/QPoMXgyMfE
6. AI Agents with MCP - Kyle Stratis: https://t.co/a6nFifhSZu
7. AI Engineering: https://t.co/33fVl6HYue
📜 Papers
1. ReAct: https://t.co/z6nGoBBiAK
2. Generative Agents: https://t.co/9I3gAAeZL0
3. Toolformer: https://t.co/UpVujq7caZ
4. Chain-of-Thought Prompting: https://t.co/KWHyoNBeaS
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/JtGZwTDOE2
2. MCP with Anthropic: https://t.co/4ywTLRsKkj
3. Building Vector Databases with Pinecone: https://t.co/v5mdrw8iMU
4. Vector Databases from Embeddings to Apps: https://t.co/hgXBgcGiTc
5. Agent Memory: https://t.co/xga6sYmfKi
👇 Comment “AI” for more resources
Repost for your network ♻️
Bookmark for future.
🌞 Lazy Sunday?
A bunch of you asked for the exact step-by-step if SpaceX announces a merger of equals with Tesla this July. 👇
Completely hypothetical — I could be totally off on the dates. Bookmark it for when the real talk starts.
Hope it’s useful. Take care everyone! 💙
Want better AI results? Use this simple prompt framework:
✅ ACT → Tell AI who to be
✅ DEFINE → Set a clear objective
✅ BREAKDOWN → Split complex tasks into steps
✅ EXPAND → Generate more ideas and options
✅ REFINE → Improve and polish the output
✅ CHECK → Verify facts, logic, and accuracy
✅ SUMMARIZE → Turn everything into clear takeaways
The difference between an average prompt and a great one is often just a few words.
Small prompt improvements = dramatically better results.
How to make slides with Claude:
Save hours on slide creation. Just follow these steps to set up your custom deck-builder in Claude.
STEP 1
Open Claude → Launch https://t.co/g8GCnfQTV4 or the desktop app.
STEP 2
Go to “Customize” → Find it in the settings menu.
STEP 3
Select “Skill” → Click the “+” button to add a new one.
STEP 4
Choose “Create skill” → Start from scratch.
STEP 5
Pick “Write skill instructions”.
STEP 6
Paste the deck-builder skill prompt: (name your own skill)
I want you to create a Claude skill (A SKILL.md file) for building presentation decks. The skill should follow the exact format and structure I'm about to describe.
Here's what I need:
1. ABOUT ME AND MY DECKS
What type of decks I build: [DESCRIBE YOUR TYPICAL PRESENTATIONS. Examples: "educational workshops about marketing automation", "sales pitch decks for my SaaS product", "internal training decks for onboarding new hires", "conference talks about design systems"]
My audience: [WHO WATCHES THESE DECKS? Examples: "non-technical founders", "enterprise teams", "college students learning UX", "C-suite executives"]
My brand/voice: [HOW DO YOU SOUND? Examples: "casual and direct, like texting a smart friend", "polished but not corporate", "academic but accessible", "funny and irreverent". If you have a brand voice doc, paste the key rules here instead.]
2. SKILL STRUCTURE
The skill must follow this exact structure:
## YAML frontmatter
- name: "deck-builder"
- description: "A pushy trigger description that fires whenever I mention decks, slides, presentations, talks, workshops, or anything slide-related. Include specific trigger phrases. Exclude content types I don’t want it to fire on."
STEP 7
Add the title and instructions → Hit Save.
Clean Ending Line (Use this to finish your post smoothly)
And that’s it your custom slide-building skill is ready. Now Claude can generate polished presentation decks for you in seconds.
Like
Retweet
Bookmark
Follow
@sakhil_ai
for more such posts
🚀 If you are using Claude for the First Time Don't Do this.
Here are 20 laws that can completely change how you use AI.
I break it into 4 phases👇
🧠 Phase 1 — Before the Prompt
🏗️ Phase 2 — Structure the Prompt
🔁 Phase 3 — After the Response
🌐 Phase 4 — System Thinking
🚀 10 Powerful Claude Connectors to Supercharge Your Workflow
Want to get more done without switching tabs? These Claude connectors have you covered 👇
📌 Gmail
📌 Google Drive
📌 Notion
📌 Slack
📌 GitHub
📌 Jira
📌 Figma
📌 Google Calendar
📌 Blender
📌 Adobe Creative Cloud
From emails and files to projects, designs, and code—manage everything seamlessly inside Claude.
⚡ Work smarter. Move faster.
🔖 Save this for later!
🎓 AI CAREER GIVEAWAY–2026
EDITION
AI is no longer optional.
The people who master these 12 AI skills will dominate the next decade.
🎁Premium AI Learning
📘Playbook
🧠Framework
⚙️Tools & workflow
I’m sharing my AI Study Workflow Free🎉
Reply"Need"
Follow me i'll send your DM
Everyone wants to buy $SPCX SpaceX on day one.
Almost nobody has read the lockup structure.
Here’s what the S-1 actually says:
SpaceX’s lockup isn’t a single 180-day cliff. It’s staggered across multiple unlock events between July and December 2026.
The schedule:
→ Q2 earnings (~Jul-Sept): up to 30% unlocks (20% standard + 10% performance bonus if stock is +30% above IPO)
→ 70/90/105/120/135 days post-IPO: 7% unlocks at each tranche
→ Q3 earnings (~Oct-Dec): additional 28% unlocks
→ Day 180 (~mid-December): the final remainder
Elon stays locked the full 6 months. Excluded from all early releases.
Translation: SpaceX won’t have ONE capitulation day. It’ll likely face rolling supply pressure for 6 months.
The structure was designed to avoid a single-day flood. That cuts both ways.
The smartest potential entries aren’t June 12. They’re:
1.The post-Q2 earnings reaction (~Aug-Sept)
2.The late-October stretch after 5 weekly tranches
3.The Q3 earnings or 180-day final unlock (~December)
Bought $PLTR around $9 after its lockup unwound. Same playbook, different schedule.
Day one is for the hype crowd.
Months 3-6 are for the patient ones.
Set your alerts for August, October, December. 👀
Stop wasting hours trying to learn AI.
I have already done it for you.
With one list. Zero confusion. And no fluff.
📹 Videos:
1. LLM Introduction: https://t.co/LaZdiMZHtp
2. LLMs from Scratch: https://t.co/0egvjTkEMh
3. Agentic AI Overview (Stanford): https://t.co/ZMiX8zvSsA
4. Building and Evaluating Agents: https://t.co/1U6NiPHad8
5. Building Effective Agents: https://t.co/BzSjqqwHQE
6. Building Agents with MCP: https://t.co/YBlBFJR8XQ
7. Building an Agent from Scratch: https://t.co/X65T8NT4qs
8. Philo Agents: https://t.co/eoc3rWdtdW
🗂️ Repos
1. GenAI Agents: https://t.co/WmleAGvACF
2. Microsoft's AI Agents for Beginners: https://t.co/VZACPfY1yP
3. Prompt Engineering Guide: https://t.co/bYR2qde6jQ
4. Hands-On Large Language Models: https://t.co/LJYu8hALXw
5. AI Agents for Beginners: https://t.co/VZACPfY1yP
6. GenAI Agents: https://t.co/rp4JNSVeI6
7. Made with ML: https://t.co/ccmxen8N0s
8. Hands-On AI Engineering: https://t.co/J6sQ2p0vkl
9. Awesome Generative AI Guide: https://t.co/3mmQI9Ille
10. Designing Machine Learning Systems: https://t.co/Kxeywa3EZQ
11. Machine Learning for Beginners from Microsoft: https://t.co/zr9kZJttNY
12. LLM Course: https://t.co/hHkSpVE3qf
🗺️ Guides
1. Google's Agent Whitepaper: https://t.co/nNf2owXvkQ
2. Google's Agent Companion: https://t.co/6juFTnEHlM
3. Building Effective Agents by Anthropic: https://t.co/1wElNyKUBd
4. Claude Code Best Agentic Coding practices: https://t.co/ydrbzZTcxC
5. OpenAI's Practical Guide to Building Agents: https://t.co/sFUdJ67EgQ
📚 Books:
1. Understanding Deep Learning: https://t.co/2pIGN8smiB
2. Building an LLM from Scratch: https://t.co/zxcmNXVmJ5
3. The LLM Engineering Handbook: https://t.co/vCScRvHbZT
4. AI Agents: The Definitive Guide - Nicole Koenigstein: https://t.co/FrQPw3ceRk
5. Building Applications with AI Agents - Michael Albada: https://t.co/2a9z0SYrlf
6. AI Agents with MCP - Kyle Stratis: https://t.co/giXPpKPZIW
7. AI Engineering: https://t.co/ZEmTMCTyRF
📜 Papers
1. ReAct: https://t.co/SuTQUbTF8h
2. Generative Agents: https://t.co/dmJRvddHGw
3. Toolformer: https://t.co/hjrMLeCJpE
4. Chain-of-Thought Prompting: https://t.co/LizaUQUf8r
🧑🏫 Courses:
1. HuggingFace's Agent Course: https://t.co/eQ9eESEppl
2. MCP with Anthropic: https://t.co/91kuLEzUh9
3. Building Vector Databases with Pinecone: https://t.co/LVZl6z3vPF
4. Vector Databases from Embeddings to Apps: https://t.co/pgT6RtKLhU
5. Agent Memory: https://t.co/zkQy6NwLAI
Follow @anujcodes_21 for more!!
👇 Comment “AI” for more resources
Repost for your network ♻️
Bookmark for future.
Claude is offering 18 official AI courses with certificates.
And it's 100% free:
1 - Claude 101. Learn Claude for everyday work.
https://t.co/L7B8XwEv7u
2 - Master Claude Cowork. Build powerful agentic workflows right on your desktop.
https://t.co/p7urXr7kSg…
3 - Claude Code 101. Master vibe coding with Claude Code.
https://t.co/xll7WEaiu2
4 - AI Fluency: Core concepts for AI literacy
https://t.co/sxiIeu85d9…
5 - Introduction to Agent Skills.
https://t.co/p7urXr7kSg…
6 - Building with the Claude API.
https://t.co/1FcFs6mrkp…
7 - Claude Code in Action. Integrate Claude Code into your dev workflow. Hands-on, practical, ship-focused.
https://t.co/x2FaOXvpIh…
8 - Intro to Model Context Protocol. Connect Claude to your local data. The ultimate game changer for context.
https://t.co/p7urXr7kSg…
9 - MCP: Advanced Topics. Build custom integrations and MCP servers. For heavy-duty scaling.
https://t.co/Sc05P0FgE7…
10 - AI Fluency for Students. Use AI to study and research smarter. The ultimate cheat code for academics.
https://t.co/xSphOlCGNV…
11 - AI Fluency for Educators.
https://t.co/xSphOlCGNV…
12 - Teaching AI Fluency.
https://t.co/FizGEdkEFV…
13 - AI Fluency for Nonprofits. Maximize your mission's impact. Do way more with way less.
https://t.co/xSphOlCGNV…
14 - Claude with Amazon Bedrock. Deploy Claude on AWS infrastructure. Enterprise-grade scaling made easy.
https://t.co/JkmVzhPhiQ…
15 - Claude with Google Cloud's Vertex AI. Deploy Claude on Google Cloud infrastructure. Seamless cloud integration for scaling apps.
https://t.co/4DgLAbFfxL…
16 - AI Fluency for Small Businesses
https://t.co/xSphOlCGNV…
17 - AI Capabilities and Limitations
https://t.co/oemFohKWpi…
18 - Introduction to subagents
https://t.co/p7urXr7kSg…
Follow me @elora_khatun for more AI IDEA.
30 AI agents. One roadmap. Zero excuses left for engineers in 2026.
Most people are still using AI like a chatbot.
Top engineers are building systems that:
• remember context
• verify outputs
• use tools autonomously
• collaborate with other agents
• reason across modalities
• make decisions with feedback loops
The biggest shift isn’t “AI replacing engineers.”
It’s engineers with AI agents replacing engineers without them.
The framework here is solid because it separates agents into layers:
1. Foundation agents → memory, planning, workflows
2. Intelligence agents → reasoning, recommendations, coding
3. Multimodal agents → vision, audio, sensing
4. Specialized agents → healthcare, finance, legal, research
5. Domain + integration agents → orchestration at scale
Most startups fail with AI because they skip architecture and jump straight to prompts.
Prompts are temporary. Systems are defensible.
If you’re learning AI in 2026, focus on these 5 skills:
• agent orchestration
• memory systems
• tool calling
• verification pipelines
• multimodal workflows
The engineers who master these early will dominate the next decade.
Which AI agent would you build first? 👇
#AI #AIAgents #MachineLearning #GenerativeAI #LLM #ArtificialIntelligence #Tech #Programming #Automation #AIEngineering