Library

Lokin - Where Ideas Meet Opportunity

Lokin is an AI networking platform designed for university students to connect with peers and form startup teams. It enables students to gain hands-on experience by building, shipping, and managing real-world projects with built-in tools for tasks and roadmaps. The platform helps students create portfolio-ready outcomes and accelerate their career development beyond traditional academic coursework or internships.

Student Startups

Career Development

Research

The Complete Guide to Building Skill for Claude

Saved from resources.anthropic.com. Add your notes and tags to curate this source.

The golden rules of agent-first product engineering

This article outlines five golden rules for "agent-first" product engineering, advocating for building products where AI agents are treated as a primary interaction surface rather than an afterthought. Key principles include enabling agents to perform all user actions, exposing product functionality at an agent's natural level of abstraction (e.g., SQL), and front-loading universal context specific to the product.

Product Engineering

Essay

The Brand Age

Facing obsolescence from quartz movements, Japanese competition, and currency shifts, the Swiss watch industry dramatically transformed from precision instrument makers to luxury brand peddlers. This involved prioritizing distinctive, often inconvenient, design and heavy brand advertising over traditional engineering excellence like accuracy and thinness. The article argues this transformation is a perfect case study for "the brand age," where brand becomes paramount as technological advancement.

Brand Strategy

Business Transformation

Tutorials

What you’re actually writing when you write a SKILL.md

Skills for AI agents are loader specifications, not merely long prompts, operating on a principle of progressive disclosure with three distinct loading levels to manage context window cost. Understanding this architecture is crucial, as content placement directly impacts efficiency and prevents common antipatterns like monolithic skills or mismanaged metadata. Proper skill design optimizes context usage, improves portability, and ensures consistent performance, especially when dealing with envir

Skill Design

Context Window

llm-wiki

The "LLM Wiki" proposes a pattern for building persistent knowledge bases where an LLM incrementally creates and maintains a structured, interlinked wiki of markdown files from raw sources. This approach differs from typical RAG by having the LLM perform all the "bookkeeping"—summarizing, cross-referencing, and updating—allowing knowledge to compound and stay current, rather than being re-derived on every query. The system consists of immutable raw sources, the LLM-maintained wiki, and a guiding

Llm Wiki

Rag Alternative

GitHub - forrestchang/andrej-karpathy-skills: A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy’s observations on LLM coding pitfalls.

This GitHub repository provides a `CLAUDE.md` file that outlines four key principles—"Think Before Coding," "Simplicity First," "Surgical Changes," and "Goal-Driven Execution"—to enhance Claude's code generation behavior. Derived from Andrej Karpathy's insights into common LLM coding pitfalls, these guidelines aim to reduce errors like making wrong assumptions, overcomplicating code, and unintended side effects. The core approach emphasizes transforming imperative coding tasks into verifiable go

Llm Coding

Claude

GitHub - mvanhorn/last30days-skill: AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary

AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary - mvanhorn/last30days-skill

Multi Platform Search

Social Intelligence

Tool

110 Free Agent Skills — AI Agent Tools, Cursor Rules & Claude Code Skills | YepAPI

YepAPI offers over 110 free AI agent skills designed to enhance various AI coding platforms, including Cursor and Claude Code. These readily available configurations, provided in formats like Claude Code and AGENTS.md, allow users to copy-paste rules and patterns directly into their projects. The skills cover a broad range of topics from frameworks like Next.js and React to SEO, UI/UX, and data, enabling developers to build smarter and more specialized AI agents.

Skills

Documentation

Skill authoring best practices

This article outlines best practices for creating effective Skills that Claude can discover and utilize successfully. It guides users on how to author these skills to ensure optimal functionality and integration within the Claude ecosystem.

Claude

Best Practices

Details That Make Interfaces Feel Better

A collection of details that make your interfaces feel better.

Interface Design

Future marketing teams will live in Github

The article posits that future marketing teams will adopt GitHub as their primary operational hub, centralizing information and workflows. The author draws on past experience with early Postmates growth teams, noting the excessive number of disparate tools used to manage marketing data. This suggests a growing need for a more unified and collaborative platform to streamline marketing operations, akin to how developers use GitHub.

Workflow Efficiency

Marketing Teams

Day in the life of a Growth Engineer

This article, by Jonathan Martinez, is presented as 'part 2' of a series building on the concept that 'Growth Engineer is the new Growth Marketer.' It aims to provide insight into the daily life and responsibilities of someone in this evolving role. The piece intends to illustrate the practical application of growth engineering principles, though the full content detailing a typical day is not provided in the saved information.

Growth Engineering

Growth Marketer

GitHub - huggingface/ml-intern: 🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models

The `ml-intern` project by Hugging Face is an open-source initiative designed to function as an AI-powered machine learning engineer. It aims to automate key stages of the ML lifecycle, specifically by reading research papers, training models, and facilitating the deployment of machine learning models. This project offers a comprehensive solution for automating various ML development and operational tasks.

Machine Learning

Open Source

The future of Product Managers

This article delves into the future evolution of Product Managers, presenting insights specifically from professionals deeply immersed in agentic engineering. It offers a unique perspective on how the PM role might transform and adapt within this rapidly advancing technological domain.

Product Management

Agentic Engineering

Newsletters

MIT Technology Review

MIT Technology Review serves as a publication dedicated to delivering news and insights on a broad spectrum of emerging technologies. Its editorial focus includes critical advancements in fields such as Artificial Intelligence, Climate Change, and Biotechnology. The platform aims to keep its audience informed about the cutting-edge developments that are shaping the future of innovation.

Emerging Technology

Artificial Intelligence

Newsletters

TLDR - A Byte Sized Daily Tech Newsletter

TLDR is a free daily newsletter that curates interesting stories from the world of startups, technology, and programming. Analyzing the content's asset preloads, it covers diverse topics including artificial intelligence, UI/UX design, software engineering best practices, mobile technology, and cybersecurity. This newsletter aims to provide concise updates across a broad spectrum of tech-related fields.

Tech Newsletter

Startups

Avoid these AI coding mistakes - PostHog

The article investigates whether AI code editors genuinely improve developer performance by soliciting feedback from PostHog's product engineers. While some engineers found features like autocomplete beneficial, the overall sentiment regarding the tools' effectiveness was mixed. The piece aims to highlight potential pitfalls or areas where AI assistance might not always lead to better outcomes.

Ai Coding

Developer Productivity

A good AGENTS.md is a model upgrade. A bad one is worse than no docs at all.

This article emphasizes that the quality of `AGENTS.md` files is crucial for the effectiveness of AI models within a software development context. A well-written `AGENTS.md` acts as a significant enhancement, effectively upgrading the AI model's capabilities. Conversely, poor or absent `AGENTS.md` documentation can be more detrimental than having no documentation at all, underlining its critical role in AI agent performance. This suggests that precise and effective documentation is vital for opt

Natural Language Processing

Documentation

Courses

Google LLM Crash Course

This Google ML Crash Course module introduces foundational concepts for understanding Large Language Models. It defines language models as systems predicting token probabilities within a sequence, crucial for tasks like text generation and translation. The course explains N-gram models and Recurrent Neural Networks, detailing their context-gathering mechanisms and inherent limitations.

Machine Learning

Blog | MindStudio

The MindStudio blog provides practical guides, tutorials, and real-world examples for building and optimizing AI agents and workflows. It features insights into multi-agent orchestration, cost-efficient model deployment, and leveraging enterprise AI infrastructure for faster application development. The articles also cover crucial industry trends, security and compliance issues, and comparisons of leading AI models and platforms like Claude, GPT, and DeepSeek.

Ai Workflows

Tutorials

What Is Andrej Karpathy’s LLM Wiki? How to Build a Personal Knowledge Base With Claude Code

This article introduces Andrej Karpathy's LLM Wiki, a system designed to transform raw documents into a structured markdown knowledge base. This personal knowledge base can be efficiently queried using Claude's capabilities. The guide provides practical instructions on setting up this system quickly, specifically highlighting its integration with Obsidian in just five minutes.

Andrej Karpathy

Llm Wiki

To Thrive Today, You Have to Become An Agentic Deployment Expert. But So, So Few Actually Are.

The article argues we are in the "third era of AI" where generalists, not engineers, are critical for success, emphasizing the need for "agentic deployment experts." This role involves identifying, deploying, training, and measuring the ROI of commercial AI agents and tools within an organization, akin to implementing any enterprise software. Companies and individuals who proactively embrace and implement AI tools will thrive, while those who wait or lack urgency will face rapid decline.

Future Of Work

Business Strategy

GitHub - garrytan/gstack: Use Garry Tan’s exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

Garry Tan's gstack is an open-source framework comprising 23 AI specialist tools designed to turn Claude Code (and other AI agents) into a virtual engineering team, covering roles like CEO, Designer, Eng Manager, and QA. It significantly boosts individual developer productivity, enabling one person to ship products at a pace comparable to a large team, by integrating AI throughout the entire software development sprint lifecycle. The framework provides interconnected slash commands for planning,

Ai Development

Agent Orchestration

You’re Not Paid to Write Code

The article posits that software engineers are primarily compensated for efficiently solving problems, rather than simply writing lines of code. It highlights a common pitfall in engineering organizations where individuals instinctively jump into coding immediately upon encountering a problem. This approach, the author suggests, often bypasses essential analysis and strategic thinking, leading to potentially less efficient solutions.

Problem Solving

Software Engineering

Tool

Exa

Exa is a real-time AI search engine and web search API designed to retrieve current data from the web for AI applications. It provides functionalities like web crawling, a SERP API, and deep research tools. The platform is built for querying, crawling, and extracting structured content and live data from websites.

Ai Search

Web Api

David Shatsky — Portfolio

David Shatsky's portfolio website.

Podcasts

Replit’s CEO on Vibe Coding, Wealth Building, and What Most People Get Wrong About AI

The a16z Show · Episode

Philosophy

Venture Capital