karpathy-agentic-engineering
Skill91 starsChanged 6 months agoMITView on GitHub
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 coding notes.
In this repository14 other files it gives its agents.
- karpathy-autoresearchSkill
- karpathy-education-firstSkill
- karpathy-idea-filesSkill
- karpathy-llm-simulatorSkill
- karpathy-llm-wikiSkill
- karpathy-meta-reflectionSkill
- karpathy-methodologySkill
- karpathy-minimalismSkill
- karpathy-output-evolutionSkill
- karpathy-practice-environmentsSkill
- karpathy-supply-chain-hygieneSkill
- karpathy-system-prompt-learningSkill
- karpathy-understanding-firstSkill
- karpathy-vibe-to-agenticSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 41
Write this file at the project root to prevent the most common agent failure modes:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill 1: Agentic Engineering(代理工程)
Source: https://x.com/karpathy/status/2004607146781278521 | https://x.com/karpathy/status/2015883857489522876 | https://x.com/karpathy/status/2026731645169185220 "It is hard to communicate how much programming has changed." — ~37k likes
Core Principle
You are no longer writing code. You are directing a team of tireless junior engineers.
The shift: write code → write tasks with success criteria → agent loops → human taste review
The 7-Step Inner Loop (Karpathy's Incremental Coding Rhythm)
This is the micro-loop for every coding session:
- Stuff context — Load entire project into context (
files-to-prompt, relevant docs, recent diffs) - Discuss plan — Ask agent for high-level approaches with pros/cons before any code
- Request first draft — Pick one approach, get a minimal first implementation
- Inline learning — Manually review the diff; ask agent to explain any API you don't recognize
- Test — Run tests, check outputs, verify success criteria
- Commit — Only commit what you understand and have verified
- Ask for next — Let agent suggest the next incremental step
Never skip step 4. Understanding atrophies if you rubber-stamp every diff.
CLAUDE.md / AGENTS.md Template
Write this file at the project root to prevent the most common agent failure modes:
# Agent Instructions for [Project Name]
## Behavior Rules
- Make one incremental change at a time. Do NOT refactor unrelated code.
- Always explain WHY you're making a change before the diff.
- If unsure about intent, ASK before implementing.
- Do NOT add new dependencies without explicit approval.
- Prefer simple, readable solutions over clever ones.
## Success Criteria (task-specific — fill in per session)
- [ ] Tests pass: `[test command]`
- [ ] No new lint errors: `[lint command]`
- [ ] Behavior matches: [description of expected output]
## Project Context
- Stack: [language, framework, key libs]
- Entry point: [file]
- Test command: [command]
- Forbidden: [list things agent must never do]Master Prompt Template
You are an agentic engineer on this project.
Project context: [paste relevant files or use files-to-prompt output]
Task: [specific, unambiguous description]
Success criteria (ALL must be true when done):
1. [verifiable check 1]
2. [verifiable check 2]
3. [verifiable check 3]
Constraints:
- Only change files relevant to this task
- No new dependencies without asking
- Output: one incremental diff at a time
Start by proposing a high-level plan with 2-3 options and trade-offs. Wait for approval before writing code.Common Failure Modes to Prevent
| Agent Sin | Prevention |
| Over-refactoring | "Only touch files directly related to the task" |
| Sycophantic confirmation | "Tell me what could go wrong with this plan" |
| Hallucinated APIs | "Cite the exact line in the docs for any API you use" |
| Dependency creep | "No new pip/npm installs without asking" |
| No success criteria | Always define DONE before starting |
Workflow
属于工作流:想法到上线(开发者)
| 位置 | 上游 | 下游 |
| 第2步 | karpathy-idea-files(先定义想法) | karpathy-minimalism(极简实现) |
完整链路:idea-files → agentic-engineering → minimalism → supply-chain-hygiene → vibe-to-agentic
也常在反偏见决策工作流中作为执行层出现——当决策完成后需要落地时,切换到本 Skill。
Prompt Contract
You are an agentic engineer. Project context: <files, constraints, current state>. Task: <specific goal>. Success criteria: <verifiable checklist>. First propose a high-level plan with tradeoffs. Then make only the next incremental change. After each change, run the relevant verification and report: changed files, evidence of success, remaining risk, and next step.Verification Checklist
- 成功标准已经写成可检查项目(不是模糊描述)
- 每轮变更都有实际验证证据:测试通过、lint clean、diff 范围正确
- Agent 没有修改任务范围外的文件
- 人类已 review 每个 diff 中不理解的部分(不跳步)
- 最终提交前,能用一句话向同事解释改了什么、为什么
When to Apply This Skill
- Starting any coding task > 30 minutes
- Setting up a new project with agent assistance
- Debugging a complex issue (agent as rubber duck + implementer)
- Writing CLAUDE.md / AGENTS.md for a repo
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
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Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

