andrej-karpathy-skills

In the author's own words, from each skill's SKILL.md.

• karpathy-agentic-engineering

  Apply Karpathy-style agentic engineering to any coding or building task. Use this skill when the user wants to set up an agent-driven workflow, needs to write a CLAUDE.md or AGENTS.md, wants to orchestrate agents with clear success criteria, or says things like "agent loop", "let the agent handle it", "agentic coding", "set up agent workflow". Includes the 7-step inner loop from Karpathy claude c…

  karpathy-agentic-engineering/SKILL.md on GitHub (opens in a new tab)

• karpathy-autoresearch

  Set up an autonomous research loop where an agent iterates on experiments, hypotheses, and code on git branches. Use this skill when the user wants to automate ML experiments, set up a research agent that self-improves, needs to run many variations of an experiment without manual intervention, or says "automate experiments", "agent research loop", "self-improving agent", "run hyperparameter searc…

  karpathy-autoresearch/SKILL.md on GitHub (opens in a new tab)

• karpathy-education-first

  Apply the education-first mindset — make everything you build teachable, create nano-project explanations, write for beginners. Use this skill when the user wants to explain a project to beginners, create a tutorial from code, write documentation that teaches (not just documents), make a concept accessible, or says "make this teachable", "explain like im a beginner", "nano project version", "teac…

  karpathy-education-first/SKILL.md on GitHub (opens in a new tab)

• karpathy-idea-files

  Create and share ideas as abstract Gist-style specs instead of code — letting agents or others implement. Use this skill when the user wants to capture a new idea quickly, needs to write a project spec for an agent to implement, wants to share a concept without building it first, or says "write up this idea", "create a spec", "gist this", "idea file", "agent can implement this", "brief for this p…

  karpathy-idea-files/SKILL.md on GitHub (opens in a new tab)

• karpathy-llm-simulator

  Use LLM as a simulator of expert debates and opposing viewpoints instead of getting a single sycophantic answer. Use this skill when the user needs to make an important decision, wants to stress-test an idea, needs devil's advocate analysis, wants to avoid confirmation bias, or says "argue against this", "what are the counterarguments", "simulate experts", "debate this", "challenge my thinking".…

  karpathy-llm-simulator/SKILL.md on GitHub (opens in a new tab)

• karpathy-llm-wiki

  Build and maintain an LLM-powered personal knowledge base or wiki. Use this skill when the user wants to organize research notes, build a second brain, set up an Obsidian vault with LLM compilation, ingest papers or articles automatically, or mentions "personal knowledge base", "LLM wiki", "second brain", "knowledge management", "ingest papers", "obsidian + LLM". Based on Karpathy Gist and 59k-li…

  karpathy-llm-wiki/SKILL.md on GitHub (opens in a new tab)

• karpathy-meta-reflection

  Run a structured reflection on how AI is reshaping your skills, career, and leverage. Use this skill for monthly career audits, skill atrophy reviews, understanding what's worth learning vs delegating to AI, or when the user says "career audit", "skills review", "what should I learn", "am I becoming obsolete", "AI impact on my work", "leverage review", "meta reflection". Based on Karpathy 56k-lik…

  karpathy-meta-reflection/SKILL.md on GitHub (opens in a new tab)

• karpathy-methodology

  Apply Andrej Karpathy AI methodology and principles from his 2023-2026 insights. Use this skill when the user wants to apply Karpathy-style thinking, needs guidance on agentic engineering, LLM knowledge bases, minimalist coding, understanding-first principles, or any of the 14 core methodologies distilled from his work. Also triggers on: "karpathy method", "karpathy approach", "karpathy way", "AK…

  karpathy-methodology/SKILL.md on GitHub (opens in a new tab)

• karpathy-minimalism

  Apply Karpathy-style minimalism and anti-dependency principles to code and system design. Use this skill when the user wants to reduce dependencies, avoid supply chain risks, rewrite something in pure Python or minimal code, audit a project for bloat, design agent-native CLI tools, or says "too many dependencies", "minimize deps", "pure python", "yoink this", "vibe code this", "no frameworks", "a…

  karpathy-minimalism/SKILL.md on GitHub (opens in a new tab)

• karpathy-output-evolution

  Upgrade LLM outputs from plain text to structured, rendered formats like HTML, Marp slides, or interactive dashboards. Use this skill when the user wants better-formatted output, needs to convert notes into a presentation, wants HTML output from an LLM, needs slides from a document, or says "make this prettier", "render this", "output as HTML", "make slides from this", "structured output", "Marp"…

  karpathy-output-evolution/SKILL.md on GitHub (opens in a new tab)

• karpathy-practice-environments

  Build practice environments and evaluation gyms where agents can try, fail, and learn from feedback. Use this skill when the user wants to set up automated evaluation for an agent, needs a sandbox for testing LLM capabilities, wants to build a practice gym for skills, needs an RL-style environment for agent improvement, or says "eval environment", "practice gym", "agent sandbox", "automated testi…

  karpathy-practice-environments/SKILL.md on GitHub (opens in a new tab)

• karpathy-supply-chain-hygiene

  Apply rigorous supply chain security hygiene to software projects — audit dependencies, detect risks, minimize attack surface. Use this skill when the user wants to audit project dependencies, is concerned about supply chain attacks, wants to set up secure dependency management, needs to review a requirements.txt or package.json, or says "dependency audit", "supply chain risk", "check packages",…

  karpathy-supply-chain-hygiene/SKILL.md on GitHub (opens in a new tab)

• karpathy-system-prompt-learning

  Write explicit strategy into system prompts as a learning mechanism — making LLM behavior more predictable and teachable through prompt-as-textbook approach. Use this skill when the user wants to improve an agent or LLM's performance on a specific task through system prompts, needs to encode a strategy or workflow into a prompt, wants consistent LLM behavior, or says "improve system prompt", "enc…

  karpathy-system-prompt-learning/SKILL.md on GitHub (opens in a new tab)

• karpathy-understanding-first

  Apply the Karpathy understanding-first principle — verify what AI built, own your understanding, map the jagged capability landscape of LLMs. Use this skill when the user has used AI to build something and needs to verify it, wants to audit their own understanding, needs to know where LLMs are reliable vs unreliable, or says "verify this", "do I actually understand this", "what can I trust the AI…

  karpathy-understanding-first/SKILL.md on GitHub (opens in a new tab)

• karpathy-vibe-to-agentic

  Transition from vibe coding (fast prototyping) to agentic engineering (rigorous iteration). Use this skill when the user has a rough prototype and wants to level it up, needs to go from "it kind of works" to production-quality, wants to understand the difference between vibe coding and agentic coding, or says "polish this", "make this production-ready", "level up from prototype", "vibe coded this…

  karpathy-vibe-to-agentic/SKILL.md on GitHub (opens in a new tab)

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