Kelechi Oliver

Software Engineer, (Node, React, Graphql). Building web applications for the next billion users, all the way to the moon.

[Kelechi Oliver @kc_kode]

Hi everyone I just release an article on writing markdown files. Check it out
https://t.co/1OS2RGRrnW

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

Best GitHub repos for Claude Code that will 10x your next project in 2026

1. Claude Mem
https://t.co/4rAO6Pgevy
Persistent memory across sessions — stop re-teaching Claude your codebase

2. UI UX Pro Max https://t.co/kfWXj3Rx4R
50+ styles, 161 color palettes, 99 UX guidelines — Claude stops building ugly UIs

3. n8n-MCP…https://t.co/kfWXj3Rx4R
Connect Claude Code to 400+ n8n integrations via MCP

4. LightRAG https://t.co/u7fENJngYe
Graph + vector RAG — lets Claude understand large codebases structurally

5. Everything Claude Code https://t.co/pCBAROLtE5
Skills, instincts, security scanning, multi-language coverage — full agent harness

6. Awesome Claude Code https://t.co/p9CcrTexw4
Community bible — curated skills, hooks, slash commands, orchestrators

7. Superpowers https://t.co/Df57XMgWUc
Forces structured thinking before writing a single line of code

8. Claude Code Ultimate Guide https://t.co/mawD1XpNuJ
23K+ lines of docs, 219 templates, 271 quizzes — beginner to power user

9. Antigravity Awesome Skills https://t.co/p9CcrTexw4
1,200+ ready-to-use skills — one of the largest collections

10. Claude Agent Blueprints https://t.co/eHU4HPiqyR
75+ agent workspace templates beyond coding

11. VoiceMode MCP
https://t.co/OS2IPIljGS
Natural voice conversations with Claude Code via Whisper + Kokoro

12. Awesome Claude Plugins
https://t.co/2nCLxb8fgi
9,000+ repos indexed with adoption metrics — find what people actually install

Bookmark this before your next build.

[Alfie Carter @AlfieJCarter]

I put the entire Claude Code GTM Engineering Playbook into ONE Notion doc.

8 sections. No fluff.

- How to get set up correctly from day one: Pro plan, terminal install across Mac, Linux, and Windows, GUI install via Antigravity or VS Code, and bypass permissions mode
- What to put in your project brain file, what to leave out, and how to get Claude to update it automatically when it keeps making the same mistake
- How to run plan mode step by step and when to skip it for simple tasks
- How to build a skill file from scratch, fix one that keeps failing, and install 5 GTM skills worth building first: lead scraping, email labeling, proposal generation, outbound sequence writing, and client onboarding
- MCP install process, token cost checks after every install, the best MCPs for GTM work, and how to cut token usage by 50 to 100x by converting MCPs into skills
- Sub-agents and agent teams: the 3 cases where they earn their cost, reliability math for parallel runs, and how to enable parallel variant exploration
- What is eating your context before you type anything, how to use /compact and /clear correctly, and model selection for parent vs sub-agents
- Modal deployment: any skill as a live URL in under 2 minutes, form interface setup, and connection to n8n, Make, or Zapier

This is the setup I would have KILLED for before spending months piecing together how to actually get productive in Claude Code from documentation, YouTube tutorials, and scattered GitHub threads.

Like + comment "CODE" and I'll send it over

(must be connected for priority access)

[GREG ISENBERG @gregisenberg]

i found a github repo that lets you spin up an ai agency with ai employees

engineers, designers, growth marketers, product managers

each role runs as its own agent and they coordinate to ship ideas

10k+ stars in under 7 days

1. engineering (7 agents)
frontend, backend, mobile, ai, devops, prototyping, senior development

2. design (7)
ui/ux, research, architecture, branding, visual storytelling, image generation

3. marketing (8)
growth hacking, content, twitter, tiktok, instagram, reddit, app store

4. product (3)
sprint prioritization, trend research, feedback synthesis

5. project management (5)
production, coordination, operations, experimentation

6. testing (7)
qa, performance analysis, api testing, quality verification

7. support (6)
customer service, analytics, finance, legal, executive reporting

8. spatial computing (6)
xr, visionos, webxr, metal, vision pro

9. specialized (6)
multi agent orchestration, data analytics, sales, distribution

what i like about this approach is the framing

instead of one big ai agent trying to do everything, you structure it more like a company. specialized agents, clear responsibilities, workflows between them

im curious to see what this actually feels like in practice and if its any good (do your own research)

https://t.co/plSvZIaDpr

but as always will share what i learn in public and on @startupideaspod

one thing is for certain and it reminds me

the future belongs to those who tinker with software like this

[Paweł Huryn @PawelHuryn]

1,300+ stars on GitHub in 72 hours. 400+ in the last 4 hours. I didn’t expect this.

I built an open-source PM Skills Marketplace for Claude: 100+ skills and commands that turn AI into a product management partner.

Not generic prompts. Structured skills that actually know PM frameworks.

8 plugins covering the full PM lifecycle:

→ Product Discovery: problem & solution space exploration

→ Product Strategy: vision, business model, strategy docs

→ Execution: PRDs, OKRs, roadmaps, sprint planning, user stories

→ Market Research: personas, segmentation, TAM/SAM/SOM

→ Data & Analytics: cohorts, A/B testing, retention analysis

→ Go-to-Market: GTM strategy, beachhead, ICP, growth loops

→ Marketing & Growth: positioning, North Star Metric

→ PM Toolkit: including PM resume review

Built for Claude Code and Cowork. Compatible with Gemini CLI, Cursor, Codex CLI, and Kiro.

If this helps you, ⭐ the repo!

[Ihtesham Ali @ihtesham2005]

Prompt engineering is dead.

Anthropic recently 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/ayF9XmnQpU 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/pDY56kadwE, 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/xEZ78RGkYu

[Srishti @srishticodes]

This 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 file will make you 10x engineer 👇

It combines all the best practices shared by Claude Code creator:

Boris Cherny (creator of Claude Code at Anthropic) shared on X internal best practices and workflows he and his team actually use with Claude Code daily. Someone turned those threads into a structured 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 you can drop into any project.

It includes:
• Workflow orchestration
• Subagent strategy
• Self-improvement loop
• Verification before done
• Autonomous bug fixing
• Core principles

This is a compounding system. Every correction you make gets captured as a rule. Over time, Claude's mistake rate drops because it learns from your feedback.

If you build with AI daily, this will save you a lot of time.

[Yash @_Ai_Yash_]

10 GitHub repositories that will teach you more practical AI engineering than most paid courses:

1. AI Agents for Beginners (Microsoft)
https://t.co/xzfpzAcKXj

2. Awesome Generative AI Guide
https://t.co/K6wPAReKfr

3. Designing Machine Learning Systems (Resources)
https://t.co/TMNhZKf1Lw

4. GenAI Agents
https://t.co/E2qko18eMW

5. Hands-On AI Engineering
https://t.co/x7s8foTkbM

6. Hands-On Large Language Models
https://t.co/AOVmopcNaL

7. LLM Course
https://t.co/nMccKpz8Lr

8. Machine Learning for Beginners (Microsoft)
https://t.co/VXFdlypvq0

9. Made With ML
https://t.co/1T9iUmNvO9

10. Prompt Engineering Guide
https://t.co/6O5MaxIJxa

[Srishti @srishticodes]

I spent 6 months (learning) AI.

This one Github repo could've saved me 5.

Here's what's inside:

Foundation → Advanced
→ Language model basics
→ Tokens and embeddings
→ Transformer architecture explained
→ Text classification techniques

Real-World Applications
→ Semantic search systems
→ RAG implementation guide
→ Prompt engineering mastery
→ Multimodal LLM usage

Build Your Own
→ Create embedding models
→ Fine-tune BERT yourself
→ Train generation models
→ Deploy production systems

Written by Jay Alammar.
Endorsed by Andrew Ng.

No theory overload.
Just practical building.

Repo: https://t.co/PIDKxRZBug

Save for later.
Repost for AI builders.

Check my profile for more resources on AI

[Tech with Mak @techNmak]

Harvard made its Senior Engineer roadmap available to the public at no cost.

Stop paying for $2,000 bootcamps. Prof. Vijay Janapa Reddi just put the entire ML Systems (CS249r) curriculum on GitHub.

If you master these 6 pillars, you're ahead of 99% of the field:
🏛️ Architecture
🚿 Data Pipelines
🚢 Production
🛠️ MLOps
🔋 Edge AI
🔒 Privacy

This is the "Black Box" of Big Tech infrastructure, open-sourced.

Read. Learn. Bookmark.

[Ashish Pratap Singh @ashishps_1]

I created a Github repository to learn System Design, and I'm excited to share that it crossed 30k stars recently.

The repository contains a collection of resources to study:
- System Design Core Concepts
- Networking and API Fundamentals
- Database and Caching Fundamentals
- Distributed Systems, Microservies and Architectural Patterns
- System Design Tradeoffs
- 40+ System Design problems categorized by difficulty level

Check it out here: https://t.co/pkVpi6LxSV

If you find the repo valuable, consider giving it a ⭐️ and share with others.

Thanks to everyone who has starred or forked the repository!

[Fernando @Franc0Fernand0]

Awesome CTO

A great github repo full of resources for software engineers and aspiring CTOs:

- Software Development Processes
- Hiring for technical roles
- Software Architecture
- Product and Project Management
- Career growth

Check it here:

https://t.co/2l1aCAqv2c

[Tom Dörr @tom_doerr]

Dashboard for geopolitical monitoring and news aggregation

https://t.co/dLEMqvZA5C

[Tom Dörr @tom_doerr]

List of software and tools for macOS

https://t.co/h2w18DIuT4

[Kelechi Oliver @kc_kode]

@shivi1026 @X Hey, let’s connect 👍

[Kelechi Oliver @kc_kode]

@fidexcode Newbie’s guide your mindset and expectations.
Core tech can never be a side hustle, learning takes time and consistency

[Kelechi Oliver @kc_kode]

@AfiaDimple_ Hello world 👋

[Kelechi Oliver @kc_kode]

@Kaperskyguru @florinpop17 How you do that bro?

[Kelechi Oliver @kc_kode]

@dipalitwt This is a bread board, used for quick prototyping of components without the need to solder

[Kelechi Oliver @kc_kode]

@dipalitwt Forming..

[BorderlessDev👨🏼‍💻| @BorderlessDev]

Our first speaker today, @creativeeazy, spoke on “Adaptability: The Future of Design in an AI-Centric World.”

He shared some powerful insights:

📍 Instead of wasting days, AI steps in to speed things up.

📍 AI can be your personal coach, giving honest feedback and detailed reviews (think Gemini).

📍 The future of design isn’t Human vs AI… it’s Human + AI.

And he left us with a challenge:

“The question isn’t whether to adapt.
It’s how quickly can you adapt?”

#Borderless4 #ImpactByDesign