MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Run a structured reflection on how AI is reshaping your skills, career, and leverage.
$ npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LearnPrompt/andrej-karpathy-skills karpathy-meta-reflection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/karpathy-meta-reflection .claude/skills/karpathy-meta-reflection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "karpathy-meta-reflection" agent skill from https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflection into .claude/skills/karpathy-meta-reflection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "karpathy-meta-reflection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LearnPrompt/andrej-karpathy-skills karpathy-meta-reflection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/karpathy-meta-reflection .agents/skills/karpathy-meta-reflection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "karpathy-meta-reflection" agent skill from https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflection into .agents/skills/karpathy-meta-reflection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "karpathy-meta-reflection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LearnPrompt/andrej-karpathy-skills karpathy-meta-reflection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/karpathy-meta-reflection .cursor/skills/karpathy-meta-reflection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "karpathy-meta-reflection" agent skill from https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflection into .cursor/skills/karpathy-meta-reflection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "karpathy-meta-reflection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LearnPrompt/andrej-karpathy-skills.git --path karpathy-meta-reflection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LearnPrompt/andrej-karpathy-skills karpathy-meta-reflection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/karpathy-meta-reflection .gemini/skills/karpathy-meta-reflection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "karpathy-meta-reflection" agent skill from https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflection into .gemini/skills/karpathy-meta-reflection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "karpathy-meta-reflection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LearnPrompt/andrej-karpathy-skills karpathy-meta-reflectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/karpathy-meta-reflection .github/skills/karpathy-meta-reflection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "karpathy-meta-reflection" agent skill from https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflection into .github/skills/karpathy-meta-reflection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "karpathy-meta-reflection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LearnPrompt/andrej-karpathy-skills karpathy-meta-reflection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LearnPrompt/andrej-karpathy-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/karpathy-meta-reflection .opencode/skills/karpathy-meta-reflection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "karpathy-meta-reflection" agent skill from https://github.com/LearnPrompt/andrej-karpathy-skills/tree/main/karpathy-meta-reflection into .opencode/skills/karpathy-meta-reflection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "karpathy-meta-reflection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
karpathy-meta-reflectionRun a structured reflection on how AI is reshaping your skills, career, and leverage.
Karpathy Meta Reflection is an agent skill from LearnPrompt/andrej-karpathy-skills. 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-like programmer identity post.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Karpathy-inspired Agent Skills collection. The licence is MIT.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9e46dec. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
x.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Karpathy Meta Reflection loads about 1.5k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 184 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from LearnPrompt/andrej-karpathy-skills at commit 9e46dec, republished under its MIT licence (© LearnPrompt). 184 words, ~1,535 tokens.
.claude/skills/karpathy-meta-reflection/SKILL.md (or your agent's skills folder).Source: https://x.com/karpathy/status/2004607146781278521 | https://x.com/karpathy/status/2015883857489522876 "I've never felt this much behind as a programmer" — 56k likes
The landscape is shifting faster than your intuition updates. Deliberate reflection is how you stay calibrated.
Karpathy tracks three things relentlessly:
Run this once a month, 20-30 minutes:
Monthly AI Impact Audit — [MONTH YEAR]
My role/field: [YOUR JOB OR DOMAIN]
Part 1: ATROPHYING SKILLS
Things I've been having AI do in the last month:
[LIST 5-10 TASKS YOU DELEGATED TO AI]
For each, analyze:
- How much would it hurt if AI wasn't available for this?
- Is my ability to do this manually getting worse?
- Is that acceptable? (YES = commodity skill / NO = must maintain)
Part 2: EXPLODING LEVERAGE
New things I can now do (or do much faster) because of AI:
[LIST 3-5 NEW CAPABILITIES OR SPEED MULTIPLIERS]
For each: what specifically unlocked this? What should I double down on?
Part 3: ROLE REDEFINITION
Complete this: "In 2023, my job was to [X]. In [CURRENT YEAR], my job is actually to [Y]."
Part 4: NEXT MONTH FOCUS
1. One skill I will DELIBERATELY practice without AI:
2. One new AI capability I will DELIBERATELY learn:
3. One thing I will STOP doing manually because AI is better:For any skill you have, plot it on this 2x2:
HIGH LEVERAGE WITH AI
│
MUST RETAIN │ MAXIMIZE
(ai makes it faster │ (your competitive
but you need the │ edge lives here)
judgment) │
│
HIGH ──────────────────────┼────────────────────── LOW
ATROPHY │ ATROPHY
│
SAFELY DELEGATE │ ABANDON/AUTOMATE
(commodity, ai is │ (low value, losing
better, let it go) │ it doesn't matter)
│
LOW LEVERAGE WITH AIEvery 6 months, do this deep reflection:
Help me understand how my role has evolved.
My job title/domain: [ROLE]
Experience: [YEARS]
Before AI tools (2022 and earlier), my core value was:
[WHAT YOU WERE HIRED/VALUED FOR]
Today, with current AI tools:
1. What percentage of my old tasks can AI now do at 80%+ quality?
2. What tasks have INCREASED in value because AI can't do them (judgment, relationships, taste, ethics)?
3. What new tasks exist now that didn't exist 2 years ago?
4. If I were hiring for my own role today, what would the job description say?
5. What would I tell my 2022 self about what skills to prioritize?
Be specific. Name actual tasks, not abstract concepts.Karpathy described 2025 as a "phase shift" — not incremental improvement but a different mode. This prompt helps you notice phase shifts in your own domain:
Diagnose if my field/work has hit a phase shift.
Domain: [YOUR FIELD]
Recent changes I've noticed: [LIST 3-5 CHANGES IN HOW WORK IS DONE]
Is this:
A) Incremental improvement (same work, faster tools)
B) Role shift (different emphasis within same field)
C) Phase shift (fundamentally different mode of working)
D) Field transformation (new field is emerging from the old one)
Evidence for your diagnosis. And: what does this mean for where I should invest my time in the next 12 months?Lighter version for weekly cadence:
Quick weekly AI reflection — [DATE]
3 things AI helped me do better this week:
1.
2.
3.
1 thing I learned from reviewing AI output:
1 skill I exercised without AI:
One thing I want to pay more attention to next week:Before investing time learning something, ask:
Should I learn [SKILL] deeply in the current AI landscape?
Evaluate:
1. Can current LLMs do this at 80%+ quality? (yes/no)
2. Is human judgment still required for the 20% that matters? (yes/no)
3. Does understanding this deeply make me better at directing AI to do it? (yes/no)
4. Is this skill a prerequisite for judgment that AI can't replicate? (yes/no)
Recommendation: LEARN_DEEPLY / LEARN_BASICS / DELEGATE / SKIP
Reasoning: [2-3 sentences]属于工作流:月度体检(入口)
| 位置 | 上游 | 下游 |
|---|---|---|
| 入口 | 每月定期触发 / 用户感到焦虑时 | karpathy-understanding-first(定位理解力盲区) |
完整链路:meta-reflection → understanding-first → practice-environments → education-first
Run a monthly career atrophy audit. Step 1: List my completed tasks this month (I'll provide or you pull from context). Step 2: For each, mark if I delegated to AI and the atrophy risk level. Step 3: Identify my top 3 leverage points (where AI made me 10x). Step 4: Identify my top 2 atrophy risks (skills degrading). Step 5: Recommend one thing to practice next month and one thing to fully delegate. Output as a structured report.© LearnPrompt, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in karpathy-meta-reflection of LearnPrompt/andrej-karpathy-skills.
Open the folder on GitHubat commit 9e46dec
Karpathy Meta Reflection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Karpathy Meta Reflection this skillLearnPrompt/andrej-karpathy-skills | 110 | — | ~1.5k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Agent Browser CLIvercel-labs/agent-browser | 44k | 24 repos | ~864 | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 |
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking…
anthropics/claude-plugins-official
Explains how to write Claude Code plugin hooks, both prompt-based checks and bash commands, for events such as PreToolUse, Stop and SessionStart.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
LearnPrompt/andrej-karpathy-skills
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…
LearnPrompt/andrej-karpathy-skills
Apply Karpathy-style agentic engineering to any coding or building task.
LearnPrompt/andrej-karpathy-skills
Sets up an autonomous research loop where an agent runs experiments on git branches, logs results and proposes the next iteration while you approve each hypothesis change.
LearnPrompt/andrej-karpathy-skills
Apply the education-first mindset — make everything you build teachable, create nano-project explanations, write for beginners.
LearnPrompt/andrej-karpathy-skills
Create and share ideas as abstract Gist-style specs instead of code — letting agents or others implement.
LearnPrompt/andrej-karpathy-skills
Use LLM as a simulator of expert debates and opposing viewpoints instead of getting a single sycophantic answer.
Run a structured reflection on how AI is reshaping your skills, career, and leverage. Karpathy Meta Reflection is an agent skill from LearnPrompt/andrej-karpathy-skills. Run a structured reflection on how AI is reshaping your skills, career, and leverage.
Karpathy Meta Reflection fits situations like: monthly career audits; skill atrophy reviews; understanding whats worth learning vs delegating to AI; the user says career audit.
Run `npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a claude-code`. Or copy the skill folder (karpathy-meta-reflection in LearnPrompt/andrej-karpathy-skills) into .claude/skills/karpathy-meta-reflection in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a codex`. Or copy the skill folder (karpathy-meta-reflection in LearnPrompt/andrej-karpathy-skills) into .agents/skills/karpathy-meta-reflection in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LearnPrompt/andrej-karpathy-skills --skill karpathy-meta-reflection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/karpathy-meta-reflection, .gemini/skills/karpathy-meta-reflection, .github/skills/karpathy-meta-reflection and .opencode/skills/karpathy-meta-reflection in your project.
SKILL.md names no scripts, command-line tools or credentials: Karpathy Meta Reflection is instructions for the agent only.
SKILL.md names 1 domain. As links in the text: x.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Karpathy Meta Reflection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Karpathy Meta Reflection: MCP Server Builder (anthropics/skills, 180k stars), Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars) and Agent Browser CLI (vercel-labs/agent-browser, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LearnPrompt (a GitHub user) maintains it in LearnPrompt/andrej-karpathy-skills, which has 110 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on July 10, 2026.
Source: LearnPrompt/andrej-karpathy-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.