Agent skill

Start Learning

by fancyboi999 in fancyboi999/ai-engineering-from-scratch-zh

AI Engineering from Scratch 课程的一次性入门流程（523 节课、20 个阶段）。访谈学习者、运行分级测验，并写入由 learn skill 驱动的持久学习计划 LEARNING.md。触发短语： “开始学习”、“设置课程”、“开始课程”、“带我入门”、“创建学习计划”，或 "start learning", "set up the course", "begin…

MITAuto-check passedAI & LLM Engineering

Install Start Learning

skills CLI

$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install fancyboi999/ai-engineering-from-scratch-zh start-learning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/start-learning .claude/skills/start-learning && rm -rf skills-src

Use ~/.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/

Paste into Claude Code

Install the "start-learning" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning into .claude/skills/start-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "start-learning", 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

$skill-installer install https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning

Type 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.

skills CLI

$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install fancyboi999/ai-engineering-from-scratch-zh start-learning --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/start-learning .agents/skills/start-learning && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "start-learning" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning into .agents/skills/start-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "start-learning", 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.

skills CLI

$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install fancyboi999/ai-engineering-from-scratch-zh start-learning --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/start-learning .cursor/skills/start-learning && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "start-learning" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning into .cursor/skills/start-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "start-learning", 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

$ gemini skills install https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git --path skills/start-learning

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install fancyboi999/ai-engineering-from-scratch-zh start-learning --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/start-learning .gemini/skills/start-learning && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "start-learning" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning into .gemini/skills/start-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "start-learning", 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.

GitHub CLI

$ gh skill install fancyboi999/ai-engineering-from-scratch-zh start-learning

Installs 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).

skills CLI

$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/start-learning .github/skills/start-learning && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "start-learning" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning into .github/skills/start-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "start-learning", 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.

skills CLI

$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install fancyboi999/ai-engineering-from-scratch-zh start-learning --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/start-learning .opencode/skills/start-learning && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "start-learning" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/start-learning into .opencode/skills/start-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "start-learning", 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.

Facts

Skill name: start-learning
GitHub stars: 1.2k
Token cost: ~1.1k tokens
SKILL.md length: 259 words
Files: 1
Skills in repo: 14
Repo updated: Sep 28, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Works in 3 steps: 你为什么学习 AI engineering？自由文本。可给出的示例：ship… → 每周能投入多少时间？选项：约 2 h、约 5 h、约 10… → 结束时最想构建什么？一行即可。一个 agent、一个训练后的模型、一个 RAG…
AI & LLM Engineering work in your project
SKILL.md covers 宿主调用契约, 跨课程模式的续学路由, 专门 MCP 交接 and 专门 Agent Skills 交接, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Start Learning is an agent skill from fancyboi999/ai-engineering-from-scratch-zh. AI Engineering from Scratch 课程的一次性入门流程（523 节课、20 个阶段）。访谈学习者、运行分级测验，并写入由 learn skill 驱动的持久学习计划 LEARNING.md。触发短语： “开始学习”、“设置课程”、“开始课程”、“带我入门”、“创建学习计划”，或 "start learning", "set up the course", "begin the curriculum", "onboard me", "create my learning plan"

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with Model Context Protocol. The repository describes itself as: Agent工程师最全学习路径 · 从零精通 AI 工程 · 20 阶段 503 课 · 中文全量翻译 + 配套站点 + 动画讲解视频 · 如何成为 AI Agent 工程师的修成指南. The licence is MIT.

When your agent uses it

AI & LLM Engineering work in your project

Example prompts

“创建学习计划”
“start learning”
“set up the course”
“/start-learning”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

你为什么学习 AI engineering？自由文本。可给出的示例：ship an AI product、职业转型、理解自己每天使用的东西、研究。用其自己的话记录回答，因为它会为之后所有课程解释提供锚点。
每周能投入多少时间？选项：约 2 h、约 5 h、约 10 h、“尽可能快”。只用于如实表述节奏，绝不用来删减内容。
结束时最想构建什么？一行即可。一个 agent、一个训练后的模型、一个 RAG product，“暂时不确定”也可以。

What it can do on your machine

Read from SKILL.md and the folder at commit fb127e2. It shows what the files ask for, not the result of running them.

Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Start Learning loads about 1.1k tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 259 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~67
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from fancyboi999/ai-engineering-from-scratch-zh at commit fb127e2, republished under its MIT licence (© fancyboi999). 259 words, ~1,149 tokens.

Download SKILL.mdSave it as .claude/skills/start-learning/SKILL.md (or your agent's skills folder).

name: start-learning
description: AI Engineering from Scratch 课程的一次性入门流程（523 节课、20 个阶段）。访谈学习者、运行分级测验，并写入由 learn skill 驱动的持久学习计划 LEARNING.md。触发短语： “开始学习”、“设置课程”、“开始课程”、“带我入门”、“创建学习计划”，或 "start learning", "set up the course", "begin the curriculum", "onboard me", "create my learning plan"
version: 1.0.0
tags: onboarding, curriculum, ai-engineering, learning-plan

开始学习

你正在引导学习者进入 AI Engineering from Scratch 课程：20 个阶段、523 节课，从线性代数到自主 agent。你的任务是在当前目录产出 LEARNING.md，这份单一文件记录他们为何学习、应从哪里开始以及学习路径。之后每次 learn session 都会读取并更新它，因此把它当作学习者的唯一事实来源。

适用于任何 agent。环境有结构化问题/选项工具时，每个问题都使用它；否则用纯文本展示带字母选项并等待回复。

宿主调用契约

skill 名称可移植，但调用语法属于宿主。展示下一条命令前，使用正确形式：

Codex：start-learning、learn、course-guide 等 skill-name 形式，或告诉学习者从 /skills 选择 skill。
Claude Code：/start-learning、/learn、/course-guide 等 /skill-name 形式。
其他兼容宿主：使用自然语言，例如 Use learn to start my first lesson.

绝不把 Claude Code 的斜杠命令说成通用语法。宿主未知时，使用自然语言。

跨课程模式的续学路由

通用入门前，将每个“继续”或“续学”请求按以下支持的状态文件和路线所有者解析：

LEARNING.md 属于完整课程的 learn。
MCP-LEARNING.md 属于 Model Context Protocol (MCP) 路线的 learn-mcp。
MCP-ENGINEERING-LEARNING.md 是同一 learn-mcp 路线的旧文件名，不是独立路线。
AGENT-SKILLS-LEARNING.md 属于 learn-agent-skills。
CLAUDE-CERTIFICATION.md 属于 claude-certification。

学习者在续学请求中点名路线时，即使其他状态文件存在，也立即分派给该所有者，然后停止此 skill。

未点名的续学请求，收集存在状态文件的所有者，并将两个 MCP 文件名归为 learn-mcp。若仅剩一个路线所有者，在通用入门前调用它并停止此 skill。learn-mcp 负责旧文件迁移及冲突报告。若有两个或更多所有者，列出面向学习者的路线名，在进行定位或改动任何状态前询问要恢复哪一条。没有文件时继续通用入门。绝不依据文件修改时间推断路线，也绝不将一个路线的进度并入其他状态文件。

旧 runtime 可能将 learn-mcp-engineering 暴露为别名。只接受它以到达 learn-mcp；面向学习者的交接一律渲染为 learn-mcp，路线名称为 Model Context Protocol (MCP)。

专门 MCP 交接

学习者明确想学习 Model Context Protocol (MCP) 而非完整课程时，不运行定位，也不创建 LEARNING.md。路由至可移植 skill learn-mcp，其来源为 learning-paths/model-context-protocol.json，状态文件为 MCP-LEARNING.md。在 Codex 使用 learn-mcp、Claude Code 使用 /learn-mcp，或要求其他兼容宿主使用 learn-mcp。专用 tutor 拥有课程选择、wire evidence 及 public-deployment security gate。

专门 Agent Skills 交接

学习者明确想学习 Agent Skills 而非完整课程，或存在 AGENT-SKILLS-LEARNING.md 且其要求恢复该路线时，不运行定位，也不创建 LEARNING.md。路由至可移植 skill learn-agent-skills，来源是 learning-paths/agent-skills.json，状态文件是 AGENT-SKILLS-LEARNING.md。在 Codex 使用 learn-agent-skills、Claude Code 使用 /learn-agent-skills，或要求其他兼容宿主使用 learn-agent-skills。专用 tutor 拥有五课顺序、真实宿主证据、sandbox boundaries、第 26 课前的第 25 课和 tool-poisoning prerequisite gate，以及 release gate。

若 LEARNING.md 已存在，绝不覆盖。概述它的内容（mission、entry point、目前进度），并只提供恰好三条路径：

恢复： 使用上方宿主语法调用 learn；完全跳过访谈与定位。
重新定位： 再次进行测验，然后只更新 Placement 部分和 Path 状态；保留 Mission、Progress log 与 Review queue。
重新开始： 仅在明确确认后，将当前文件改名为 LEARNING-<YYYY-MM-DD>.md 作为归档，随后进行下方完整入门。绝不静默删除或覆盖历史。

第 1 步：访谈（3 个问题，保持简短）

你为什么学习 AI engineering？ 自由文本。可给出的示例：ship an AI product、职业转型、理解自己每天使用的东西、研究。用其自己的话记录回答，因为它会为之后所有课程解释提供锚点。
每周能投入多少时间？ 选项：约 2 h、约 5 h、约 10 h、“尽可能快”。只用于如实表述节奏，绝不用来删减内容。
结束时最想构建什么？ 一行即可。一个 agent、一个训练后的模型、一个 RAG product，“暂时不确定”也可以。

不要多问。分级测验衡量知识；访谈只记录意图。

第 2 步：定位

运行随此 skill 安装的 find-your-level skill 分级测验：5 个领域、10 道题，映射到一个起始阶段。保持该 skill 的答案隔离契约：不要预加载之后轮次的答案键，也不要用真实选项字母替换中性 <letter> 占位符。

学习者已说清想从哪开始（“直接从第 7 阶段开始”）时，尊重选择并跳过测验，但仍遵守与测验相同的输出契约，确保 learn tutor 始终能找到格式正确的计划：

验证阶段在 0-19 之间并解析其规范名称；无法解析时，列出 20 个阶段要求选择。
Path 表中，入口前阶段为 Skip，入口及其后为 Do（没有可从领域分数推断的 Review 行）；Est. hours 总数为所有 Do 行的和。
Placement 部分写入 Score: self-selected，不能写数值。

第 3 步：写入 LEARNING.md

在当前目录创建 LEARNING.md，严格使用以下 sections：

markdown

# My AI Engineering Path
<!-- Managed by the ai-engineering-from-scratch learning skills.
     Repo: https://github.com/fancyboi999/ai-engineering-from-scratch-zh -->

## Mission
<their answer to question 1, in their words, plus the build goal from question 3>

## Placement
- Date: <YYYY-MM-DD>
- Score: <total>/10 with the area breakdown, or exactly `self-selected` when the quiz was skipped
- Entry point: Phase <N>: <name>
- Pace: ~<hours>/week

## Path
| Phase | Name | Status | Est. hours |
|-------|------|--------|------------|
<all 20 phases; Status is Skip, Review, Do, or Done from the placement
result. Hours come from ROADMAP.md: read it locally if the repo is cloned,
otherwise fetch
https://raw.githubusercontent.com/fancyboi999/ai-engineering-from-scratch-zh/main/ROADMAP.md>

## Progress log
| Date | Lesson | Quiz | Note |
|------|--------|------|------|

## Review queue
<empty for now; learn adds lessons the quizzes flag>

第 4 步：交接

收尾仅三行，不能更多：

学习者的入口和 Review + Do 阶段的预计总时数。
给出宿主正确的 learn 调用方式，并说明它会开始第一课且每次都从此文件继续。
给出宿主正确的 course-guide <topic> 调用方式，并说明它可跳转到特定主题。

Files

Just SKILL.md in skills/start-learning of fancyboi999/ai-engineering-from-scratch-zh.

Open the folder on GitHubat commit fb127e2

Compare with similar skills

Start Learning 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.

Start Learning compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Start Learning this skillfancyboi999/ai-engineering-from-scratch-zh	1.2k	—	~1.1k	Automated safety check: Pass	MIT	10 days ago
Codebase Managementgiancarloerra/SocratiCode	3.3k	1 repos	~1.8k	Automated safety check: Pass	AGPL-3.0	today
AutoRAG Setup and RepairMarker-Inc-Korea/AutoRAG	5.1k	—	~5.3k	Automated safety check: Pass	MIT	yesterday
Sciverseopendatalab/Sciverse-Agent-Tools	119	—	~3k	Automated safety check: Pass	Custom licence	18 days ago
Flowflow Spacesmirkobozzetto/flowflow	171	—	~1k	Automated safety check: Pass	EUPL-1.2	today
Agent Interface DesignNeeeophytee/finding-unknowns-skills	343	—	~650	Automated safety check: Pass	MIT	10 days ago

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1.2k GitHub stars~472 tokensUpdated 10 days ago
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Find Your Level
fancyboi999/ai-engineering-from-scratch-zh
交互式测验，将你的 AI/ML 知识映射到 523 节课、20 个阶段的 AI Engineering from Scratch 课程起点。
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Check Understanding
fancyboi999/ai-engineering-from-scratch-zh
AI Engineering from Scratch 的阶段测验。用于“给我测验一下”、“测试阶段”、“检查我的理解”、“我掌握第 3 阶段了吗”，也支持 "quiz me", "test phase", "check my understanding", "do I know phase 3" 或 /check-understanding <phase。
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Claude Certification
fancyboi999/ai-engineering-from-scratch-zh
AI Engineering from Scratch 中四条独立 Claude 认证路线的 AI 原生导师与入门流程。适用于学习者希望选择 Claude 认证、备考 CCAO-F、CCDV-F、CCAR-F 或 CCAR-P、继续认证路径、以交互方式学习下一课、运行并验证实践实验、构建并评分产物、参加诊断或模拟测评，或通过 GitHub 上的 Claude Code、…
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Course Guide
fancyboi999/ai-engineering-from-scratch-zh
AI Engineering from Scratch 课程的主题路由器。给它一个主题、问题或正在处理的 bug，它会指出精确教授它的课程，以及下一条正确命令。触发短语： “在哪里学习”、“哪节课涵盖”、“课程导航”、“我卡在”、“接下来该做什么”、 “教我 MCP”、“教我 Agent Skills”、“在哪里准备 Claude certification”，或 "where do I…
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Learn
fancyboi999/ai-engineering-from-scratch-zh
AI Engineering from Scratch 课程的交互式课程 tutor。读取 LEARNING.md，获取下一课，在终端按章节教学，结尾测验并记录进度。可在克隆仓库中或完全通过 raw.githubusercontent.com 工作—— 无需设置。触发短语：“下一课”、“教我”、“继续课程”、“我们来学习”、“继续学习”，或 "next lesson", "teach…
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Works with

Model Context Protocol

Questions about Start Learning

What does Start Learning do?

When should I use Start Learning?

Start Learning fits situations like: AI & LLM Engineering work in your project.

How do I install Start Learning in Claude Code?

Run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a claude-code`. Or copy the skill folder (skills/start-learning in fancyboi999/ai-engineering-from-scratch-zh) into .claude/skills/start-learning in your project. Claude Code loads it when a task matches its description.

How do I install Start Learning in Codex?

Run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a codex`. Or copy the skill folder (skills/start-learning in fancyboi999/ai-engineering-from-scratch-zh) into .agents/skills/start-learning in your project. Codex loads it when a task matches its description.

Can I use Start Learning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill start-learning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/start-learning, .gemini/skills/start-learning, .github/skills/start-learning and .opencode/skills/start-learning in your project.

What does Start Learning need to run?

SKILL.md names no scripts, command-line tools or credentials: Start Learning is instructions for the agent only.

Does Start Learning access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Start Learning safe to install?

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.

What licence does Start Learning use?

Start Learning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Start Learning use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Start Learning?

Skills that share tags, products or a category with Start Learning: Codebase Management (giancarloerra/SocratiCode, 3.3k stars), AutoRAG Setup and Repair (Marker-Inc-Korea/AutoRAG, 5.1k stars), Sciverse (opendatalab/Sciverse-Agent-Tools, 119 stars) and Flowflow Spaces (mirkobozzetto/flowflow, 171 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Start Learning?

fancyboi999 (a GitHub user) maintains it in fancyboi999/ai-engineering-from-scratch-zh, which has 1,182 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 28, 2026.

Source: fancyboi999/ai-engineering-from-scratch-zh on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Start Learning

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

开始学习

宿主调用契约

跨课程模式的续学路由

专门 MCP 交接

专门 Agent Skills 交接

第 1 步：访谈（3 个问题，保持简短）

第 2 步：定位

第 3 步：写入 LEARNING.md

第 4 步：交接

Files

Compare with similar skills

Similar skills

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Questions about Start Learning