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SkillsMP has collected 18 skills from jona/ycombinator-skills. Open a skill to review its source and details.
Showing 18 of 18 collected skills.
Best practices for using Claude Code effectively based on insights from its creator Boris Cherny. Trigger this skill when users ask about optimizing Claude Code usage, configuring CLAUDE.md files, using plan mode, working with sub-agents, understanding Claude…
Provides François Chollet's framework for understanding intelligence, AGI development paths, and the limitations of current AI approaches. Use this skill when users ask about- (1) What intelligence really means and how to define AGI, (2) Why scaling…
Guide for building successful AI startups based on Jake Heller's Casetext journey ($650M exit). Use when users need help with- (1) Selecting AI startup ideas by identifying jobs people pay humans to do, (2) Building reliable AI products through systematic…
Strategic framework for evaluating and building B2B AI startups based on Aaron Levie's insights from building Box through the cloud transformation. Use when founders or advisors need to - (1) Evaluate AI startup ideas for defensibility and market timing, (2)…
Strategic guidance for building developer tools and AI-first products, derived from Michael Truell's experience building Cursor. Use when- (1) Evaluating whether to enter a market with established competitors, (2) Deciding between product improvement vs…
Explains Andrej Karpathy's framework for understanding the three paradigms of software (1.0- traditional code, 2.0- neural network weights, 3.0- LLM prompts). Use when users ask about software paradigm shifts, the evolution of programming, how LLMs fit into…
Apply Andrew Ng's startup building principles and AI-accelerated development strategies from AI Fund's experience launching ~1 startup per month. Use when users ask about startup execution speed, AI coding tools for faster prototyping, agentic AI workflows,…
Strategic guidance on AI scaling laws, capability trajectories, and building products at the frontier of AI capabilities. Use when users ask about AI scaling trends, capability forecasting, planning AI product development timelines, understanding pretraining…
Guidance for building AI systems for scientific discovery, based on lessons from AlphaFold's development. Use when designing ML systems for scientific domains, planning validation strategies using blind benchmarks, deciding how to release scientific AI tools…
Knowledge base containing insights from Aravind Srinivas (Perplexity CEO) on building AI-powered search products, competitive strategy against well-funded incumbents, and the future of agentic browsers. Use this skill when users ask about Perplexity's…
Strategic guidance for AI startup founders based on Sam Altman's insights from OpenAI's journey. Use this skill when users ask about starting an AI company, evaluating AI startup ideas, hiring for early-stage AI startups, building products with reasoning…
Strategic questioning framework for AI startup founders navigating AGI uncertainty. Use when founders or entrepreneurs need to evaluate AI startup ideas, assess defensibility in a rapidly changing landscape, plan strategy assuming 2-3 year AGI timelines,…
Strategic guidance for design-focused founders and product leaders based on Dylan Field's experience scaling Figma from a WebGL experiment to an 8-product company with 1700 employees. Use when seeking advice on founding design-tool companies, evaluating…
Strategic AI thinking frameworks and mental models from Satya Nadella's perspective on platform shifts, AI deployment, and building successful AI products. Use when evaluating AI strategy decisions, assessing platform opportunities, thinking through AI…
Strategic thinking frameworks and mental models from Elon Musk for evaluating ambitious projects, applying first principles reasoning, and navigating transformative technology decisions. Use when someone asks about evaluating startup ideas, tackling seemingly…
Reference guide for Physical Intelligence's approach to building general-purpose foundation models for robotics. Use when discussing Physical Intelligence (Pi) research methodology, explaining foundation model approaches to robotics (pre-training +…
Provides strategic insights on AI-driven software democratization and agent-based development trends from Replit's perspective. Use when discussing the future of software engineering, AI agent infrastructure requirements, democratization of coding, or when…
Knowledge base on spatial intelligence as the next frontier in AI, based on Fei-Fei Li's insights from her Y Combinator AI Startup School talk. Use this skill when users ask about spatial intelligence concepts, 3D world modeling, the evolution of computer…