Saumitra retweeted
everyone’s sleeping on gemini 3 pro for AI automation
while some experts are quietly building 47+ n8n workflows in just 2 weeks using master prompts
here's what most don’t know:
gemini 3 pro has a 1m token context window
it's built specifically for agentic tasks and tool use
but raw prompting wastes 80% of that capability
master prompts change everything:
→ feed it your full tech stack context
→ define node architecture patterns
→ specify importable json output
result: production-ready workflows from plain english descriptions
Want the full master prompts experts are using?
1. Retweet & Like
2. Follow me
3. Comment “GEMINI”
i’ll send you the entire step-by-step prompts library for free, plus real-world use cases
(must be following so I can dm you)
Saumitra retweeted
Product skills of the future:
- Intuition about what's worth building
- Clarity in describing the solution
- Taste in knowing when it's great
- Agency to do the above without being asked
Check out my latest article: How To Build Your First Claude Skill: Complete Guide linkedin.com/posts/saumitrab… via @LinkedIn
Claude web skill builder now allows copying generated skill with one click! No need to download the zip file for enabling custom Claude skills on web. #claudeskils
My least explored so far: ML pros deploying across platforms, what integration snag nearly wrecked your model? How are you vibe coding? I’m tinkering with ML for personalization, low-latency from basics to scale. #MachineLearning
UXR types coding prototypes, what user question revealed a hidden issue? I’m adding quick polls/chats to my apps and ask Gemini to pretend to be my users. Any other ideas? #UserResearch
Data engineers handling stack APIs, what’s the pipeline hack that kept things smooth? #DataEngineering
DS who handle web deploys, how do you wrangle chaotic data into slick front-end visuals? I’m trying to understand mental models: digging through user metrics to shape features, beyond just charts. Catching trends before they bite. Prototype work mask this problem! #DataScience
PMs who dip into code, what’s your secret for juggling features when tech debt starts creeping in? I’m channeling that PM energy in my next app: putting user needs at the top, then timelines. Mixing it with performance tweaks across stacks. Drop your insights! #ProductManagement
I was a bit disappointed with phone camera and wished I had a better lens. Then I realized I could ask #NanoBananaPro for fix it for me.. it turned out better than expected!








