Pradeep Neela 🇮🇳

...

[Pradeep Neela 🇮🇳 @PradeepNeela]

Two years ago, a simple conversation set me on a path I did not fully anticipate.

Today, as I complete my EMBA and receive my postgraduate degree, I am not closing a chapter, I am opening a new one centered on growth, curiosity, and continuous learning (1/13)

[Ava Sharma @keitijeon]

The engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work

I've seen $300 courses that don't cover what he shows in the first 10 minutes

CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns

all in one video and completely free works whether you're a developer, a beginner, or someone who's been using Claude for months.

[AilaunchX @Ai_Tech_tool]

🚨 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.

[Suryakant Chaurasiya @coder_surya]

FORGET PowerPoint.
Claude can build an entire presentation in minutes!

No templates.
No design skills.
No all-nighters before the big meeting.

Just 6 prompts that do the work for you.
👇

📌 Prompt 1. The Blueprint

"Act as a senior presentation strategist. Build a blueprint for [topic].

Give me:
- The ONE message they must remember
- Who the audience is + what they care about
- 3 angles that hook them emotionally
- The slide-by-slide flow
- Ideal slide count

Keep it tight. No filler."

📌 Prompt 2. The Structure

"Create a slide-by-slide outline for [topic].

For each slide:
- Title
- One-line purpose
- What the audience should feel

Make the sequence build like a story — tension, then payoff."

📌 Prompt 3. The Story Frame

"Turn [topic] into a presentation built on narrative.

Hook → grab attention in 5 seconds
Problem → the pain they feel
Insight → the part they didn't expect
Solution → what to do about it
Proof → one stat or example
Takeaway → a single clear action

Cut anything that doesn't move the story forward."

📌 Prompt 4. The Visual Direction

"Act as a presentation designer. For each slide on [topic], recommend:

- A visual that carries the emotion (image, not clipart)
- The right format for any data (chart type, not a table dump)
- An icon or grid layout for lists

Suggest a clean 3-color palette and one font pairing."

📌 Prompt 5. The Content

"Write the full slide content for a [number]-slide deck on [topic].

Per slide:
- A punchy title (6 words max)
- 3–5 bullets, under 10 words each
- One speaker note for delivery

Audience: [describe]. Tone: [professional/casual]."

📌 Prompt 6. The Build

"Now build it.
Create the full presentation on [topic] as a downloadable file.
[number] slides with bold titles, tight bullets, and speaker notes on every slide.
Clean layout, logical flow from open to close, ready to present."

Most people still build slides line by line.
Manually. Slowly. Painfully.

The shift isn't about saving time.
It's about showing up sharper than everyone in the room.

While they format bullet points, you're already prepping the meeting.

Do this:

1. Save this post (you'll come back to it)
2. Pick 1 prompt → build your next deck with it
3. Send it to someone still fighting with templates

📌 Fast. Clean. No excuses.

1. Follow @coder_surya
2. Save the post.
3. Repost to your network.
4. Join AI Community: https://t.co/ioQEJKhR1q

____________________________

[Pradeep Neela 🇮🇳 @PradeepNeela]

This is the best place to learn.

[aditya @adxtyahq]

for anyone asking where to learn this stuff:

• RAG → https://t.co/4bzbUIwV5g
• Agentic RAG → https://t.co/IotOiGmV1Y
• AI Agents → https://t.co/nEeMnVJQbk
• Multi-Agent Systems → https://t.co/pavDPVJEFj
• LangGraph → https://t.co/3miEqqFzF0
• LangGraph (code) → https://t.co/v7kxHZXqba
• MCP → https://t.co/lKawRb4etX
• Memory Systems → https://t.co/LSaT2UaPAS
• Evals → https://t.co/vxChxa1kqQ
• Context Engineering → search "Context Engineering Survey" on arXiv

and please skip the "build an ai agent in 10 minutes" videos
build something, watch it fail, then figure out why.

[Vaibhav Sisinty @VaibhavSisinty]

Google just cooked something wild. 🤯

They dropped an AI model that runs on your laptop. No internet. No subscription. No cloud. Just your machine.

It's called Gemma 4 12B. And here's what makes it different from everything else out there.

It handles text and images in one single model. Most models this size can only do text. Gemma 4 12B reads images, reasons through problems, and does multi-step thinking all at once.

It performs almost as well as models twice its size. But needs less than half the memory to run.

If your laptop has 16GB, you can run it right now. No setup headaches works with LM Studio, llama.cpp, and every major local AI tool out of the box.

And Google released it under Apache 2.0 the most open license possible. Use it for personal projects, commercial products, anything you want.

Most people are paying $20/month to use AI through a browser.

Google just made a version you can own on your laptop and never pay for again.
Weights are live on Hugging Face. Go grab it.

[Elon Musk @elonmusk]

India’s birth rate has fallen below replacement.

Among those most educated, India’s birth rate fell below replacement many years ago.

[World of StatHistics @Stat_Cult]

🇮🇳 Largest Migrant Community Group in Key Mumbai Neighborhoods 🇮🇳

🇮🇳 Dharavi – Tamil Nadu / Uttar Pradesh
🇮🇳 Matunga – Tamil Nadu (South Indian)
🇮🇳 Dadar – Maharashtrian / Gujarati
🇮🇳 Bandra (West) – Gujarati / Christian
🇮🇳 Kurla – Muslim (North Indian)
🇮🇳 Govandi / Mankhurd – Muslim / Bihar-UP migrants
🇮🇳 Chembur – Maharashtrian / South Indian
🇮🇳 Ghatkopar – Gujarati / North Indian
🇮🇳 Powai – Mixed professionals (Maharashtrian / South)
🇮🇳 Andheri (East) – Maharashtrian / UP-Bihar
🇮🇳 Andheri (West) – Gujarati / North Indian
🇮🇳 Malad (West) – Gujarati
🇮🇳 Borivali – Maharashtrian
🇮🇳 Dahisar – Maharashtrian / Gujarati
🇮🇳 Bhayandar – Maharashtrian / UP migrants
🇮🇳 Mira Road – North Indian (UP-Bihar) / Gujarati
🇮🇳 Bandra (East) – Mixed / Maharashtrian
🇮🇳 Mahim – Maharashtrian / Gujarati
🇮🇳 Lower Parel – Maharashtrian
🇮🇳 Worli – Maharashtrian
🇮🇳 Byculla – Muslim / Maharashtrian
🇮🇳 Parel – Maharashtrian
🇮🇳 Sion – Maharashtrian / Tamil
🇮🇳 Mulund – Maharashtrian / Gujarati
🇮🇳 Vikhroli – Maharashtrian
🇮🇳 Thane – Maharashtrian
🇮🇳 Navi Mumbai (Vashi) – Maharashtrian / South Indian
🇮🇳 Kandivali – Gujarati / Maharashtrian
🇮🇳 Goregaon – Gujarati / Maharashtrian
🇮🇳 Jogeshwari – Muslim / North Indian

[Samir Arora @Iamsamirarora]

IT Service companies say things like " a bridge is needed for AI transformation and we are the bridge" or that "AI is moving from pilot to industrialization" etc and that AI implementation projects may take time but this transformation cannot be done without them.

In the meantime, run rate for Anthropic revenue is US$ 50 billion and US$ 30 billion for OpenAi already, with most of it coming from enterprises. IF Anthropic IPO has to happen this yr, next year's run rate will need to be perhaps US$ 100 billion plus for it alone, for its IPO to go through.

My question: How come IT services companies are still waiting for AI implementation projects and at the same time enterprises will soon be spending US$ 100-200 billion on these 2 model companies alone. Who assisted these enterprises so that they are comfortable spending so much already (for it sure does not look like IT service companies saw anything substantial)? May be you don't need the amount of help that IT service companies think will be needed.

Logically, more help should be needed at this stage where models may be less developed and users are less familiar- and still they are presumably doing this on their own.

You tell me- I dont have the answers

[Indian Tech & Infra @IndianTechGuide]

🚨 State-wise average monthly salaries in India.

[Tesla Owners Silicon Valley @teslaownersSV]

Engineering is magic

[Pradeep Neela 🇮🇳 @PradeepNeela]

* infinite

[Tesla Owners Silicon Valley @teslaownersSV]

Engineering is magic

[Sonal Shukla @sonalshukla3377]

🎯EVERY CLAUDE COMMAND

Begin your work quickly with simple commands.
Create chats, upload files, or start structured projects.
Everything starts here.

♦️ START & CREATE

1 /new – Start a new chat
2 /project – Create a project
3 /upload – Upload files
4 /paste – Paste from clipboard
5 /template – Use a template
6 /import – Import from file
7 /scan – Scan documents
8 /voice – Use voice input

♦️ FOCUS & CONTEXT

9 /focus – Set main objective
10 /context – Add background
11 /details – Provide more details
12 /examples – Give examples
13 /clarify – Ask follow-up questions
14 /define – Define terms
15 /assumptions – List assumptions
16 /priorities – Set priorities
17 /constraints – Set constraints

♦️ THINK & SOLVE

18 /analyze – Break it down
19 /compare – Compare options
20 /pros-cons – List pros & cons
21 /evaluate – Evaluate ideas
22 /recommend – Get recommendations
23 /brainstorm – Brainstorm ideas
24 /solve – Solve the problem
25 /challenge – Challenge assumptions

♦️ WRITE & EDIT

26 /write – Generate content
27 /edit – Edit for clarity
28 /rewrite – Rewrite better
29 /shorten – Make it concise
30 /expand – Add more detail
31 /improve – Improve writing
32 /summarize – Summarize text
33 /paraphrase – Paraphrase text
34 /proofread – Proofread text

♦️ ORGANIZE & STRUCTURE

35 /outline – Create an outline
36 /structure – Organize content
37 /bullet – Make bullet points
38 /numbered – Make numbered list
39 /table – Create a table
40 /summary – Summarize content
41 /key-points – Extract key points
42 /mindmap – Create mind map
43 /flowchart – Create flowchart

♦️ CODE & TECH

44 /code – Write code
45 /debug – Fix issues
46 /explain – Explain code
47 /optimize – Improve performance
48 /refactor – Refactor code
49 /test – Write tests
50 /convert – Convert formats
51 /documentation – Write docs
52 /review – Review code

♦️ DATA & ANALYSIS

53 /analyze-data – Analyze data
54 /visualize – Create charts
55 /insights – Extract insights
56 /forecast – Make predictions
57 /report – Generate report
58 /stats – Calculate statistics
59 /clean – Clean data

♦️ AUTOMATE & INTEGRATE

60 /workflow – Create workflow
61 /automate – Automate tasks
62 /api – Use API
63 /integrate – Connect tools
64 /schedule – Set reminders
65 /trigger – Set triggers
66 /tasklist – Create task list
67 /checklist – Create checklist

♦️ PERSONALIZE & CONTROL

68 /preferences – Set preferences
69 /memory – Manage memory
70 /tone – Adjust tone
71 /style – Change writing style
72 /length – Change length
73 /format – Change format
74 /reset – Reset conversation
75 /clear – Clear context

♦️ LEARN & RESEARCH

76 /search – Search the web
77 /research – Deep research
78 /learn – Explain a topic
79 /tldr – TL;DR summary
80 /sources – Find sources
81 /fact-check – Fact check
82 /explore – Explore topics

♦️ COLLABORATE & SHARE

83 /share – Share conversation
84 /export – Export content
85 /download – Download file
86 /copy – Copy to clipboard
87 /email – Email content
88 /publish – Publish content
89 /feedback – Send feedback

✳️BONUS: POWER SHORTCUTS

Use / + command for quick access
Combine commands for better results
Add context early for better answers
Be specific and clear
Iterate and refine
Save and reuse what works

❤️ Like
🔁 Retweet
🔖 Bookmark

Follow @sonalshukla3377 for more such posts

[Jian Wang @jianw851]

Claude Code just crossed the line from “AI coding assistant” → “AI operating system.”

And most developers still think it’s just autocomplete.

The March 2026 update changed everything.

Here’s the complete Claude Code cheatsheet every AI engineer should know 👇

⚡ 𝗜𝗡𝗦𝗧𝗔𝗟𝗟

Mac
→ brew install claude-code

Windows
→ winget install Anthropic.ClaudeCode

npm
→ npm i -g @anthropic-ai/claude-code

🚨 𝗧𝗛𝗘 𝗕𝗜𝗚 𝗠𝗔𝗥𝗖𝗛 𝟮𝟬𝟮𝟲 𝗨𝗣𝗗𝗔𝗧𝗘

→ Opus 4.6 is now the default model
→ 1M token context window
→ Voice mode across 20 languages
→ /loop for recurring autonomous tasks
→ Remote control from your phone
→ Computer Use for desktop automation
→ HTTP Hooks for event-driven workflows
→ “ultrathink” mode for maximum reasoning depth

This is no longer just “AI helping you code.”

It’s becoming an autonomous engineering environment.

🛠️ 𝗞𝗜𝗟𝗟𝗘𝗥 𝗖𝗢𝗠𝗠𝗔𝗡𝗗𝗦

/compact
→ compresses context by ~80%
→ huge token savings

/effort low|med|high
→ dynamically control reasoning depth

/plan
→ generates execution steps before coding

/voice
→ push-to-talk development workflow

/loop
→ recurring scheduled automation inside sessions

/rewind
→ undo code OR conversation state

/diff
→ inspect every code change Claude made

/btw
→ ask side questions without polluting context

Most devs only use prompts.

Power users operate Claude like an IDE-native agent system.

🧠 𝗧𝗛𝗘 𝗥𝗘𝗔𝗟 𝗣𝗢𝗪𝗘𝗥 = 𝗘𝗫𝗧𝗘𝗡𝗦𝗜𝗕𝗜𝗟𝗜𝗧𝗬

Claude Code now has an entire ecosystem layer:

→ Skills
Reusable AI workflows auto-invoked at runtime

→ Subagents
Isolated context workers for parallel tasks

→ Hooks
Deterministic commands triggered on events

→ MCP
Universal protocol connecting tools + agents

→ Plugins
Package and distribute entire agent capabilities

This is the beginning of composable AI engineering.

📂 𝗖𝗟𝗔𝗨𝗗𝗘.𝗠𝗗

Possibly the most underrated file in modern software engineering.

Claude reads it EVERY session.

Teams are now encoding:
→ architecture rules
→ repo maps
→ coding standards
→ deployment workflows
→ testing conventions
→ engineering philosophy

directly into the agent workflow.

CLAUDE.md is becoming:
“infrastructure-as-context.”

💸 𝗛𝗢𝗪 𝗧𝗢 𝗦𝗔𝗩𝗘 𝗠𝗢𝗡𝗘𝗬

→ /effort low for repetitive tasks
→ use Haiku for mechanical workflows
→ /compact aggressively
→ Batch API gives ~50% savings
→ Prompt caching cuts costs massively

Most people optimize prompts.

The best teams optimize context architecture.

The biggest shift nobody is talking about:

Developers are no longer just writing code.

They’re designing systems of agents.

That’s the future of software engineering.

Save this cheatsheet.
You’ll reference it a lot over the next year. 📌

What feature are you most excited about?

#Coding #DeveloperTools #ClaudeCode #AIEngineering #AgenticAI #LLM #SoftwareEngineering #Anthropic

[Krishna Agrawal @Krishnasagrawal]

Claude Code is (actually) easy.

The 12-step roadmap in plain English:

If you're totally new to Claude Code:

Beginner: https://t.co/2dPKJnEZMQ
Intermediate: https://t.co/HHtZFTfpq2
Advanced: https://t.co/tLKItVJZGR

PHASE 1: Context (what Claude knows about you)

Step 0: Install the CLI

One terminal command gets it running:

"npm install -g @anthropic-ai/claude-code"

Step 1: Projects

- Give Claude its own folder.
- Everything you build stays tied to it.

"I'm creating a new folder for my [project]. Create it for me and set it up so I can start working in it."

Step 2: claude .md

- Claude reads this before every chat.
- Role, voice, defaults. Set once, it sticks.

"Help me build my CLAUDE.md from scratch. Use Boris Cherny's CLAUDE.md as a starting template. Ask me about my business, voice, banned words, output defaults, and how I want you to work. Save the final file to ~/CLAUDE.md."

Step 3: Memory

- Every correction becomes a saved lesson.
- Same mistake never lands twice.

"From now on, whenever I correct you, save it as its own .md file at ~/.claude/projects/{project}/memory/, prefixed feedback_, user_, project_, or reference_. Index everything in MEMORY.md."

PHASE 2: Fire (how you trigger work)

Step 4: Skills

- Wrap a workflow in one keyword.
- Fire it from any chat, any folder, any time.

"Turn this workflow into a skill called /[name]. Set it up so I can fire it from any chat."

Step 5: /commands

Type the name and Claude fires the workflow.

"Save this prompt as a /[name] command. Set it up so I can run it any time."

Step 6: /plan

- Type /plan before starting any task.
- Claude lays out the steps. You approve it.

"/plan I want to [your task in plain English]."

PHASE 3: Extend (wire it to your stack)

Step 7: Hooks

- Auto-run something the moment an event fires.
- You never have to trigger it manually.

"Set up a hook that runs [thing you want] every time I [event]. Wire it up for me."

Step 8: MCP

- Plug Claude into Slack, Notion, Gmail, etc.
- You get live data from the tools you use.

"Connect Claude to [tool]. Set it up for me and walk me through it."

Step 9: Plugins

Install skills, agents, and MCPs in one command.

"/plugin install [plugin-name]"

PHASE 4: Scale (delegate and autopilot)

Step 10: Subagents

- Send out parallel workers.
- Get three jobs done at once.

"Use subagents to handle [task A], [task B] and [task C] in parallel."

Step 11: Agent Teams

- A pipeline of specialist AI agents.
- Each owns one job, hands off to the next.

"Build me an agent team for [process].

Step 12: Routines

- Schedule your agent team on the cloud.
- You set it once, walk away forever.

"/schedule [agent or skill] every [schedule]."

That's Claude Code from zero to autopilot.
12 steps with no coding background needed.

Repost ♻️ to help someone in your network.

Cc : Charlie

[Dhairya @dkare1009]

You type a prompt.
~400ms later, an answer appears.

Most people think the LLM “just runs.”

Reality?
A full infrastructure pipeline fires before the response reaches you 👇

1️⃣ API Gateway
→ Auth
→ Rate limits
→ Billing starts

2️⃣ Load Balancer
→ Routes traffic across clusters

3️⃣ Tokenization
→ Text becomes tokens
→ Tokens become math

4️⃣ Model Router
→ Sends request to the right model/GPU cluster

5️⃣ Inference Engine (95% of latency)
→ Prefill
→ KV Cache
→ Decode tokens one-by-one

This is where the real compute happens.

6️⃣ Post-Processing
→ Safety filters
→ Detokenization
→ Response packaging

7️⃣ Response + Billing
→ Stream result back
→ Attach token usage + costs

Calling an LLM API isn’t “running a model.”

It’s orchestrating networking, distributed systems, GPUs, memory, routing, and billing — in milliseconds. ⚡

The interesting question:

Where does “the model” actually begin?

At inference?
Or at tokenization — the moment language becomes math? 🤔

#AI #LLM #MachineLearning #Infrastructure

[Ruben Hassid @rubenhassid]

Anthropic just dropped a 31-page prompting guide.

Here's everything you actually need (in 10 rules):

1. You write "review this contract" and pray.
Fix: Name every output. "Review this contract. Flag risks per clause. Rate severity 1-5. Return as a table."

2: You say "summarize this" on a 40-page report.
Fix: 4.7 sizes the answer to the input. Cap it: "5 bullets. Each under 15 words. Start each with an action verb."

3: You write "don't use jargon. don't be salesy."
Fix: Negative instructions don't stick.
Flip them: "Write in plain English a 16-year-old could read aloud."

4: You type "can you help me with the email?"
Fix: Each verb ships something. For example: "Go to Gmail. Find [contact]. Write the send-ready reply. Under 90 words. Tone: confident, casual."

5: You wait for Claude to web search on its own.
Fix: Claude opus 4.7 calls fewer tools than 4.6.
Force it: "Use web search aggressively. Verify every claim with at least 2 sources."

6: You miss the warm tone from old Claude.
Fix: Claude opus 4.7 is direct. Almost zero emojis. Paste 2-3 sentences in the voice you want.
Tell Claude to match the rhythm.

7: You ask for "a landing page" & get bare minimum.
Fix: Drop this one line on every creative task
→ "Go beyond the basics."
It's from Anthropic's own doc.

8: You forget Claude 4.7 doesn't reason by default.
Fix: They call it "adaptive thinking."
Add this at the end: "Think before answering (maximum reasoning)." Free upgrade. Every time.

9: You rewrite the same prompt 14 times a week.
Fix: A skill is a command with instructions pre-built.
Write the same prompt twice? Make it a skill.

10: You assume Claude knows what you meant.
Fix: Old Claude 4.6 guessed.
New Claude 4.7 does exactly what you typed.
Spell it out. Output. Order. Length. Tone. Format.
If you don't say it, you don't get it.

To go even further & download my .md files directly:

Step 1. Go to https://t.co/psB7XxB2Y4.
Step 2. Subscribe for free. Don't pay anything.
Step 3. Open my welcome email (most skip this).
Step 4. Hit the automatic reply button inside.
Step 5. Download my .md files from my Notion.
Bonus. Enjoy my best copy-paste prompts, too.

[Hamza Khalid @humzaakhalid]

93% of Claude users have never gone past Layer 1.

They are competing against the 7% running all 7.

Here is every layer, and exactly what each one unlocks: 👇

The businesses leading in 2026 have not found a better AI.

They have gone deeper into the one everyone already has.

Here is the full 7-layer breakdown:

☑️ 1. Claude Chat
→ Simple task assistance, quick Q&A, and daily text summaries.
→ Text reformulation, tone adjustment, and general knowledge on demand.
→ This is Layer 1. Most people never leave it.

☑️ 2. Artifacts
→ Preview code outputs instantly and render SVG and UI components
→ View real-time data charts and draft web wireframes directly.
→ Everything visual that used to require a separate tool now lives here.

☑️ 3. Claude Skills
→ Standardize your brand voice in .md files and hardcode SOPs.
→ Create repeatable content templates and set rules for text analysis.
→ Claude stops guessing your standards and starts executing every time.

☑️ 4. Claude Cowork
→ Read and edit local text files, analyze complex spreadsheet data, and refine presentation decks.
→ Work directly within project folders and share code changes.
→ Claude becomes a collaborator inside your actual files.

☑️ 5. Claude Design
→ Draft CSS styling rules, and generate functional HTML mockups.
→ Design work that used to take a full day gets done in a single session.
→ Get color palette recommendations, compose UI component libraries, and build custom app themes.

☑️ 6. Claude Code
→ Debug logic errors in the terminal, refactor legacy codebases, and generate new project scaffolds.
→ Scan for security vulnerabilities, optimize performance, and configure database schemas and migrations.
→ Automate documentation, database schemas, and migrations without touching them manually.

☑️ 7. Connectors
→ Link Google Drive and automate Slack notifications.
→ Sync Google Sheets data, and integrate Asana or Jira projects.

7 layers. Most teams are running 1.
The gap between Layer 1 and Layer 7 is not a skill gap.
It is a knowledge gap.

By the way, I wrote the complete step-by-step guide on how to build Claude Skills, Layer 3, from scratch.

It is the layer that compounds the fastest, and the one that most people set up wrong from day one.

Read it here → https://t.co/IA6mhKbVhy

For more Claude breakdowns like this: 👇

→ Go to https://t.co/XZmlWQ3gEs
→ Subscribe to my free newsletter (don't pay anything)
→ Get more free and daily cheatsheets

Which layer are you currently stuck at? Drop the number below. 🤯

♻️ Repost to give your network an unfair advantage.

[ZARA @HeyZaraKhan]

Become a Claude Certified Architect

Here are all the required resource in one place: (save it)

Training courses: https://t.co/kBXCuOrprM (13 free courses)
Cookbook: https://t.co/SLnSUT703t
Exam Guide: https://t.co/A2pbDcy8GC
Practice questions: https://t.co/90eXwUwL8i (free)
MCP documentation: https://t.co/SbwZI0eM61 (free)
API documentation: https://t.co/9rmnLWxRHE (free)
Partner Network: https://t.co/diT5OE5H0b (free to join)
Link to join: https://t.co/OXQyTmf4wD
Personal Playbook someone created after the exam: https://t.co/qhXan3XnBK

[Dhairya @dkare1009]

You install Claude Code and stop there.

Here are 24 things (actually) worth adding:

If you're totally new to Claude Code:

Start here: https://t.co/anqXrH7023
Then read: https://t.co/rLIC8yh90e

Plug-Ins (bundled tools, agents, and commands)

gstack — 23 specialist dev tools in one install
Install → https://t.co/vuqqtNf2tr (82.7k★)

superpowers — complete dev methodology, 14 skills
Install → https://t.co/x2Jz14cYY8 (192k★)

codex-plugin-cc — OpenAI's official Codex plugin
Install → https://t.co/iCSxJ0glm5 (8.9k★)

financial-services — IB, PE, equity, wealth
Install → https://t.co/jPb9r63pMN (23k★)

claude-for-legal — legal workflows, every practice area
Install → https://t.co/bCzJdc8WzM (6.6k★)

claude-skills — 263+ skills across every platform
Install → https://t.co/62p22Wd18G (5.2k★)

marketingskills — 40 marketing tools, full growth ops
Install → https://t.co/FPY9dXG929 (28.8k★)

social-media-skills — my content OS. Posts, reels
Install → https://t.co/DOc68CfxJa

Skills (specialist instruction Claude loads on demand)

frontend-design — kills generic AI UI
Install → https://t.co/fRegzmoq96 (277k installs)

hyperframes — write HTML, render video, agent-native
Install → https://t.co/tvY90QlFJL (18.6k★)

ai-second-brain — Karpathy-style wiki, AI history
Install → https://t.co/mebUAilN9u

notebooklm-skill — Claude queries your research
Install → https://t.co/sAxeEGpzyy

humanizer — strips AI writing tells from any draft
Install → https://t.co/zadJrx1BVe (2.9k★)

claude-seo — GEO-first SEO skill, built for the AI era
Install → https://t.co/8mhcDiM7uq (4.5k★)

antfu-skills — Vue and Vite core team skills
Install → https://t.co/mmdjG21aJ5 (3.5k★)

caveman — cuts 65% of tokens, talks like caveman
Install → https://t.co/WruteJgNW4 (59.2k★)

MCP Servers (live connections to your apps)

granola — meeting notes fed to Claude
Install → https://t.co/P6nWgUShBA

slack — reads channels, posts updates
Install → https://t.co/USdCGuACdH

notion — reads and writes your docs
Install → https://t.co/4z1XL34D3c

kondo — triages your LinkedIn DMs
Install → https://t.co/CjPiBbvdmX

zapier — 9,000+ apps, one connection
Install → https://t.co/pyxD0brsoi

higgsfield — cinematic video from a prompt
Install → https://t.co/X0y90vVW4B

perplexity — live web search for Claude
Install → https://t.co/hpDE0w2rR0

agent-browser — browser automation, fewer tokens
Install → https://t.co/AKqEWoENFX (22k★)

Save this. Come back when you set up Claude Code properly.

Repost ♻️ to help someone in your network.

P.S. Which one are you installing first?

[JustAnotherPM | Sid @JustAnotherPM]

𝗔𝗜 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝘀 𝗼𝘃𝗲𝗿𝗵𝘆𝗽𝗲𝗱. That is what I told myself when I first started working on AI products. Turns out, I had no idea what an AI PM really did.

After spending years watching world-class AI PMs, building AI products at scale, making 100s of bad decisions, I have a much better definition of the role.

But, sadly, even today, most PMs trying to work on AI are in the same boat: confused and clueless about "what does an AI PM actually do."

Here's the simplest mental model to think of an AI PM's role:

An AI PM is responsible for finding answers to these 7 questions.

1. What problem should we solve to maximize impact?
2. Does this need AI?
3. Do we have the right data?
4. How do we turn data into something useful?
5. How will users experience it?
6. How do we know it works before launch?
7. How do we keep making it better?

Let's understand in detail:

𝗪𝗵𝗮𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘀𝗵𝗼𝘂𝗹𝗱 𝘄𝗲 𝘀𝗼𝗹𝘃𝗲 The problem must be specific, validated with real users, and solution-agnostic. If you get this wrong, the model does not matter.

𝗗𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗿𝗲𝗮𝗹𝗹𝘆 𝗻𝗲𝗲𝗱 𝗔𝗜 This is the most important question an AI PM asks. And the answer is usually no. Saying no to AI when the situation does not call for it is not a failure. It is the job.

𝗗𝗼 𝘄𝗲 𝗵𝗮𝘃𝗲 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗱𝗮𝘁𝗮 "We have data" is not a strategy. An explicit data plan that includes what data we need, what we have, and what is missing is the right strategy. AI is only as good as the data behind it.

𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝘁𝘂𝗿𝗻 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝘂𝘀𝗲𝗳𝘂𝗹 Simple prompt, ML model, RAG, or agents. Each has a different use case, cost profile, and failure modes. The PM who skips this hands those decisions to engineering.

𝗛𝗼𝘄 𝘄𝗶𝗹𝗹 𝘂𝘀𝗲𝗿𝘀 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝘁 Users need trust, control, and recovery. Design for when the AI fails, not only for when it works.

𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗸𝗻𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝗹𝗮𝘂𝗻𝗰𝗵 There is no binary pass/fail. Build an eval framework. Define good, bad, and edge cases. Ship only when the product clears your threshold.

𝗛𝗼𝘄 𝗱𝗼 𝘄𝗲 𝗺𝗮𝗸𝗲 𝗶𝘁 𝗯𝗲𝘁𝘁𝗲𝗿 𝗮𝗳𝘁𝗲𝗿 𝗹𝗮𝘂𝗻𝗰𝗵 AI products degrade in production if you stop watching them. Sample live conversations. Add new failure modes to your test set. Never stop monitoring.
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Want to ship your first AI product? I just launched a free Claude Code course taught inside Claude Code. (Link below)