Kashif Rizvi

Amateur Perfumer 🧪👨‍🔬 | Cricket and MMA Fan 🏏 🥊

[Ridoy AI @AI_WithExpert]

🚨BREAKING: Claude has a new feature called Council.
It turns Claude into 5 AI advisors that argue it out before handing you one final answer.

Here is how to SET it up, and 5 prompts to try it👇

[DROID @droidbuilds]

"mom, how did we get so poor?"

"your father had Claude Max, ChatGPT Pro, Cursor Pro and shipped absolutely nothing"

[Kashif Rizvi @rizkashif]

😂🤣

[Kashif Rizvi @rizkashif]

@Home_of_Fight Great coach no doubt @Eric_XCMMA

[NZ ☄️ @CodeByNZ]

First major defeat to Ai in job sector.

[0xMarioNawfal @RoundtableSpace]

KARPATHY BREAKS DOWN WHY MESSAGE 30 COSTS 31X MORE THAN MESSAGE 1 AND HOW TO STOP WASTING TOKENS

WATCH THIS BEFORE YOU BURN YOUR CLAUDE BUDGET

[klöss @kloss_xyz]

POV: it’s 2028 and you’re still manually copy pasting 69 prompts one by one because you were too lazy to save this

[Thariq @trq212]

https://t.co/45C3gKydTK

[hoeem @hooeem]

https://t.co/4tchgZa4oC

[Mayank Vora @aiwithmayank]

🚨 Prompt engineering is officially outdated.

Anthropic just released the real playbook for building AI agents that actually work.

It’s a 30+ page deep dive called The Complete Guide to Building Skills for Claude and it quietly shifts the conversation from “prompt engineering” to real execution design.

Here’s the big idea:

A Skill isn’t just a prompt.
It’s a structured system.

You package instructions inside a https://t.co/aldvvbZeVI file, optionally add scripts, references, and assets, and teach Claude a repeatable workflow once instead of re-explaining it every chat.

But the real unlock is something they call progressive disclosure.

Instead of dumping everything into context:

• A lightweight YAML frontmatter tells Claude when to use the skill
• Full instructions load only when relevant
• Extra files are accessed only if needed

Less context bloat. More precision.

They also introduce a powerful analogy:

MCP gives Claude the kitchen.
Skills give it the recipe.

Without skills: users connect tools and don’t know what to do next.
With skills: workflows trigger automatically, best practices are embedded, API calls become consistent.

They outline 3 major patterns:

1) Document & asset creation
2) Workflow automation
3) MCP enhancement

And they emphasize something most builders ignore: testing.

Trigger accuracy.
Tool call efficiency.
Failure rate.
Token usage.

This isn’t about clever wording.

It’s about designing an execution layer on top of LLMs.

Skills work across https://t.co/taoTr8bSkU, Claude Code, and the API. Build once, deploy everywhere.

The era of “just write a better prompt” is ending.

Anthropic just handed everyone a blueprint for turning chat into infrastructure.

Download the guide here: https://t.co/0SgDRAMhSg

[Andrej Karpathy @karpathy]

New art project.
Train and inference GPT in 243 lines of pure, dependency-free Python. This is the *full* algorithmic content of what is needed. Everything else is just for efficiency. I cannot simplify this any further.
https://t.co/HmiRrQugnP

[Bhanu Teja P @pbteja1998]

https://t.co/V6XZfv5UYS

[Kashif Rizvi @rizkashif]

@mmaonpoint Shavkat

[Kashif Rizvi @rizkashif]

@samuel_spitz 🤣🤣🤣🤣🤣🤣

[Kashif Rizvi @rizkashif]

@chixxsays @rizvitaus is it fair?

[Elon Musk @elonmusk]

https://t.co/Mg0oHBVoxf

[Kashif Rizvi @rizkashif]

@rizvitaus Happy for Sanju - could’ve been dropped .. but how is Shreyas Iyer not in the team, it’s crazy ..

[Kashif Rizvi @rizkashif]

@rizvitaus Any day @ShreyasIyer15

[Kashif Rizvi @rizkashif]

@SernineBabylone What a ball!