@Rustam-Z⚡️

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Updated: May 16, 2026 at 8:06 PM

@Rustam-Z⚡️

Software Engineer @ Google 🇩🇪 Book 1:1 session: rustamz.com/calendar I talk about: tech, career, big tech interviews, money. About me: I joined Google after university in 🇺🇿 www.rustamz.com linkedin.com/in/rustam-z youtube.com/@rustam-z @rustamz_i

Follow @rustamzokirov to stay updated with the latest book and talk trends and news

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

So, what are the Agent Skills

🔗 https://www.youtube.com/watch?v=2c29z436VUM

My TL;DR about agent skills:

First of all, agent skills != agent tools, they are different things.

Instead of 1 huge system prompt with instructions on how to do some task, now we can split it into small agent skills. Why? Agents keep making mistakes and forgetting rules when instructions get long.

So, we can build specialized workflows and instructions with agent skills. The skill can execute the code scripts if needed. It can memorize things, the skill can use agent tools.

So, agents must do things more accurately and efficiently.

How it works? When a task arrives, the model decides which skill to load, and the runtime appends that specific information to the context.

How to build own SKILLS?
READ: https://resources.anthropic.com/hubfs/The-Complete-Guide-to-Building-Skill-for-Claude.pdf?hsLang=en

More to read:
• Documentation https://agentskills.io/home
• https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview
• https://geminicli.com/docs/cli/skills

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

📎 File

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

📷 Photo

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

📷 Photo

Amazon plans to hire 11000 interns in 2026

https://www.businessinsider.com/aws-ceo-amazon-ai-coding-jobs-interns-hiring-2026-5

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

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Next stop, San Francisco, Silicon Valley ✈️🇺🇸

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

Prompt engineering, context engineering, harness engineering — what's the difference?

Prompt engineering — the words you write to the model. "Do this, not that. Here's an example. Answer in JSON."

Context engineering — everything the model sees on a given turn. System prompt, past messages, files, tool descriptions, memory. You decide what goes in and what stays out, too much info is bad, too little is also bad.

Harness engineering — the system around the model. The loop, the tools it can call, permissions, sandboxing, what happens when something fails, how sub-agents talk to each other.

A year ago everyone obsessed over prompts. Now the real work has moved outward — building good loops, tools, and memory.

Prompt = the words
Context = what the model sees
Harness = the system it runs inside

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

I'm open-sourcing pyclaudir project, AI agent harness 🔗 Check it, run it: github.com/Rustam-Z/pyclaudir Run self-evolving AI assistant. It lives in your Telegram. Remembers every conversation. Schedules its own work. Messages you first when something matters:…

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

📷 Photo

Yandex launches Summer Programming School for students from Uzbekistan 🇺🇿

It's a real chance to level up your skills, work on actual tasks, and doing internship at big tech.

For whom:
• Backend devs
• Mobile devs

Format: Offline — July & August, in Moscow ✈️

Selected participants get flights and accommodation fully covered. After the summer school, you go straight to a fast-tracked internship selection at Yandex Uzbekistan.

DEADLINE for registration: May 3, 2026

https://yandex.uz/fordevelopers/events/summer-school?utm_source=telegram&utm_medium=promo&utm_campaign=summerschool_uz_2026&utm_content=ru&utm_term=rustamzokirov↗️

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

Technical depth, for the human devs

http://GitHub.com/Rustam-Z under the hood:
• Python harness, runs claude code as a subprocess via local MCP, so it pipes your request to CC (next step: rewrite project for open source models, don't rely on CC)
• Agents have self-reasoning loop before responding to message
• Local MCP has many tools like sending messages, scheduling tasks, taking notes, etc
• Persistent memory: sqlite + plain markdown files
• One process per bot, run a fleet with separate pyclaudir processes
• plugins.json — you can connect external MCP servers, or turn off local MCP tools and skills
• skills/ — add agent skills
• You can turn on shell access, and your assistant will be able to write code, run it, test it — basically do everything autonomously, depending on your workflow setup
• access.json — for controlling assistant access to groups and DMs
• Runs anywhere, docker image is there already

So, the project is easily extendable, that was the goal, you can take what is done for nanoclaw, openclaw, and setup for pyclaudir.

The coolest feature: add your assistant to group for collaboration with team. The assistant remembers things, learns from you, and you manage everything from Telegram.

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@Rustam-Z⚡️

May 20, 2026, 11:08 PM

I'm open-sourcing pyclaudir project, AI agent harness 🔗 Check it, run it: github.com/Rustam-Z/pyclaudir Run self-evolving AI assistant. It lives in your Telegram. Remembers every conversation. Schedules its own work. Messages you first when something matters:…

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@Rustam-Z⚡️

May 16, 2026, 08:06 PM

📷 Photo

I'm open-sourcing pyclaudir project, AI agent harness

🔗 Check it, run it: http://github.com/Rustam-Z/pyclaudir

Run self-evolving AI assistant. It lives in your Telegram. Remembers every conversation. Schedules its own work. Messages you first when something matters: a Jira ticket due, a build that broke, etc...

Example, give a task: "research global tech trends, find problems worth solving in Uzbekistan, build me a prototype." All will be done, your creativity is the limitation.

To test: Join https://t.me/rustamz_workshop group, Luna, my assistant is already there.

Anyone open for contributions

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