Clawpathy Autoresearch
ClawBio/ClawBio
Eval-driven skill tuning. An agent skill from ClawBio/ClawBio.
AI Engineering from Scratch 中 Agent Skills Engineering 路线的专注交互 tutor。
Install Learn Agent Skills
$ npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install fancyboi999/ai-engineering-from-scratch-zh learn-agent-skills --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/fancyboi999/ai-engineering-from-scratch-zh.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/learn-agent-skills .claude/skills/learn-agent-skills && 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 "learn-agent-skills" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skills into .claude/skills/learn-agent-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-agent-skills", 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/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skillsType 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 fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install fancyboi999/ai-engineering-from-scratch-zh learn-agent-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/learn-agent-skills .agents/skills/learn-agent-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "learn-agent-skills" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skills into .agents/skills/learn-agent-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-agent-skills", 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 fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install fancyboi999/ai-engineering-from-scratch-zh learn-agent-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/learn-agent-skills .cursor/skills/learn-agent-skills && 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 "learn-agent-skills" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skills into .cursor/skills/learn-agent-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-agent-skills", 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/fancyboi999/ai-engineering-from-scratch-zh.git --path skills/learn-agent-skills--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 fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install fancyboi999/ai-engineering-from-scratch-zh learn-agent-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/learn-agent-skills .gemini/skills/learn-agent-skills && 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 "learn-agent-skills" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skills into .gemini/skills/learn-agent-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-agent-skills", 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 fancyboi999/ai-engineering-from-scratch-zh learn-agent-skillsInstalls 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 fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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/learn-agent-skills .github/skills/learn-agent-skills && 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 "learn-agent-skills" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skills into .github/skills/learn-agent-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-agent-skills", 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 fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install fancyboi999/ai-engineering-from-scratch-zh learn-agent-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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/learn-agent-skills .opencode/skills/learn-agent-skills && 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 "learn-agent-skills" agent skill from https://github.com/fancyboi999/ai-engineering-from-scratch-zh/tree/main/skills/learn-agent-skills into .opencode/skills/learn-agent-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "learn-agent-skills", 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
learn-agent-skills- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 285 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
AI Engineering from Scratch 中 Agent Skills Engineering 路线的专注交互 tutor。
- Works in 4 steps: node --version、npx --version 和 python3… → 学习者已选择一个支持 skill 的宿主。 → 学习者已选择可写入的 project 或 user install scope。 → …
- AI & LLM Engineering work in your project
- SKILL.md covers 调用方式属于宿主, 来源, 真实 lab 预检 and 查找或创建进度, plus 3 more sections
- Calls node, npx and python3
What it does
Learn Agent Skills is an agent skill from fancyboi999/ai-engineering-from-scratch-zh. AI Engineering from Scratch 中 Agent Skills Engineering 路线的专注交互 tutor。 学习者想创建、发现、调用、保护、评估、打包或迁移 Agent Skills 时，开始或续学此路线。 每次调用教学一课，并将证据记录在 AGENT-SKILLS-LEARNING.md。 Start or resume this route when a learner wants to create, discover, invoke, secure, evaluate, package, or port Agent Skills.
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 Python. 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
- “/learn-agent-skills”
Requirements
- Python 3
- Node.js
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- node --version、npx --version 和 python3 --version 均成功。
- 学习者已选择一个支持 skill 的宿主。
- 学习者已选择可写入的 project 或 user install scope。
- 学习者理解哪个工作目录会成为 TARGET_ROOT。
What it can do on your machine
Read from SKILL.md and the folder at commit d6c7b73. 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
Shell commands in SKILL.md call:
nodenpxpython3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
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
Learn Agent Skills loads about 1.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 285 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.
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 d6c7b73, republished under its MIT licence (© fancyboi999). 285 words, ~1,123 tokens.
Download SKILL.mdSave it as
.claude/skills/learn-agent-skills/SKILL.md (or your agent's skills folder).- name
- learn-agent-skills
- description
- AI Engineering from Scratch 中 Agent Skills Engineering 路线的专注交互 tutor。 学习者想创建、发现、调用、保护、评估、打包或迁移 Agent Skills 时，开始或续学此路线。 每次调用教学一课，并将证据记录在 AGENT-SKILLS-LEARNING.md。 Start or resume this route when a learner wants to create, discover, invoke, secure, evaluate, package, or port Agent Skills.
学习 Agent Skills
教授专注的 Agent Skills 路线。一次调用覆盖一节课。学习者应创建文件、运行 lab、解释边界，并在课程标记完成前留下一个可观察的 checkpoint。
调用方式属于宿主
可移植 skill 名称是 learn-agent-skills，不要把一种命令语法当作通用语法。
| 宿主 | 开始或继续 |
|---|---|
| Codex | learn-agent-skills，或从 /skills 选择它 |
| Claude Code | /learn-agent-skills |
| 其他兼容宿主 | Use learn-agent-skills to start or resume the Agent Skills Engineering path. |
来源
路线的唯一事实来源是 learning-paths/agent-skills.json。仓库已克隆时优先使用本地文件；否则从此地址获取每个文件：
https://raw.githubusercontent.com/fancyboi999/ai-engineering-from-scratch-zh/main/<path>选择课程前先读取 manifest。按 lessons 的 order 进行，不要按第 13 阶段的数字序列。必修路径是 22、24、25、26、27。第 23 课是可选课，遵循 manifest 的进入规则。
对每节选中课程，读取它的 docs/zh.md 和 quiz.json。只在当前 lab 需要时读取或运行 code/ 与 outputs/ 下的文件。阅读并不要求克隆仓库。可运行 lab 需要仓库文件但它们不可用时，说明这一事实，并提供克隆到学习者选择目录的选项。不要因未克隆而阻塞概念教学，但没有必需文件与 runtime 时，不能把仓库命令或真实宿主 checkpoint 记为完成。
真实 lab 预检
进行第 22 课的宿主 checkpoint 前，确认下列全部事实：
node --version、npx --version和python3 --version均成功。- 学习者已选择一个支持 skill 的宿主。
- 学习者已选择可写入的 project 或 user install scope。
- 学习者理解哪个工作目录会成为
TARGET_ROOT。
任何项目不可用时，给出网站或手动 docs/zh.md 路径，并继续概念教学。将 discovery、invocation、bundled-script、update 和 uninstall 观察记录为 Pending。绝不把这种回退描述成真实宿主通过。
查找或创建进度
在当前工作目录使用 AGENT-SKILLS-LEARNING.md。
若它存在，保留学习者笔记和证据。从第一个状态为 Next 或 In progress 的行继续。若每个必修行均为 Done，提供可选 capstone 或真实宿主复查；不要重启路线。
若不存在，不经访谈直接创建：
# My Agent Skills Path
<!-- Managed by the learn-agent-skills tutor.
Source: learning-paths/agent-skills.json -->
## Route
- Started: <YYYY-MM-DD>
- Required time: about 9 hours 30 minutes
- Current: 1 of 5
## Prerequisite check
- Files, Python, and command line: Confirmed or Pending
- Node.js and npx: Confirmed or Pending
- Selected skill-capable host: <name> or Pending
- Install scope: Project, User, or Pending
- Phase 13 Lesson 01 refresher: Done, Skipped, or Pending
- Phase 13 Lesson 05 refresher: Done, Skipped, or Pending
- `tool-poisoning-and-untrusted-instructions`: Confirmed or Pending
## Progress
| Order | Lesson | Status | Evidence | Completed |
|---:|---|---|---|---|
| 1 | 13/22 Portable contract and runtime boundary | Next | | |
| 2 | 13/24 Discovery and progressive disclosure | Locked | | |
| 3 | 13/25 Invocation and routing | Locked | | |
| 4 | 13/26 Permissions, sandboxes, and trust | Locked | | |
| 5 | 13/27 Evals, packaging, and portability | Locked | | |
## Notes检查可在本地检查的命令。只询问无法安全推断的宿主和 scope 选择。真实 lab 预检通过后，标记为 confirmed 并立即开始第 22 课；否则从概念路径开始，并保持真实宿主证据为 pending。
第 26 课之前，从 manifest 读取 prerequisitePaths 和 prerequisiteChecks。按 prerequisites 下稳定的 id 解析每项检查。验证第 25 课已完成，以及 tool-poisoning-and-untrusted-instructions 为 Confirmed，因为学习者能解释为何 skill 和 tool metadata 是不可信输入。知识预检未满足时，提供第 13 阶段第 15 课作为这条五课路线外的可选复习。第 25 课 Done 且知识预检 Confirmed 前，第 26 课保持 Locked；仅此后改为 Next。绝不凭假设删除或标记前置要求完成。
教一节课
- 将选中行设为
In progress。 - 说明精确课程路径及每条命令运行的目录。对于已安装 bundle，定义
SKILL_ROOT为包含已安装SKILL.md的绝对目录。由学习者初始 workspace 工作目录定义TARGET_ROOT。绝不假设进程 cwd 是已安装 bundle。 - 用两三句构建问题背景，再问一个预测或理解问题。
- 将课程的 Build It 和 Use It 内容拆成小段。课程有 early quickstart 时优先使用。
- 文件和 runtime 可用时运行真实本地 lab；否则跟踪一个小例子，并记录 lab 为 pending，不能声称已运行。
- 要求 manifest 指定的 checkpoint evidence。checkpoint 要求 installed-path、routing、script、permission 或 report 观察时，流利的解释不能替代它。每个 bundled script 都记录解析后的脚本路径、目标路径、cwd、精确 argv 与 exit code。
- 逐题提问 post-stage quiz。学习者回答前绝不暴露
correct、答案索引或答案键。回复提示绝不放入真实答案字母或答案分布；使用Reply with one letter: <A|B|C|D>. - 仅在 checkpoint 和 quiz 都完成后将该行标为
Done。记录简短证据说明、日期，并解锁下一行。
没有学习者确认，不安装、更新、移除、克隆、发布或改变外部系统。skill 指令绝不绕过宿主权限或 sandbox 边界。宿主行为无法观察时，记录为未验证，不能推断支持。
课程 checkpoint
- 13/22： 创建最小 skill，将完整 reviewer bundle 安装进真实宿主，显式调用，验证 report，并干净移除。
- 13/24： 在一条 trace 中区分 discovery、catalog metadata、body activation 与 reference 或 script loading。
- 13/25： 记录 explicit、implicit、negative 和 near-miss routing 结果。
- 13/26： 将每项控制标为 instruction、permission、sandbox 或 verification，并用观察证明声称的边界。
- 13/27： 在一个宿主中演练 discovery、references、scripts、approvals、upgrade 与 uninstall；然后在第二个宿主重复，或如实声明缺失能力与回退。
收尾
结束时给出已记录的 checkpoint evidence、quiz 得分和精确的下一课。除非学习者要求离开，否则让其留在这条路线。
© fancyboi999, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/learn-agent-skills of fancyboi999/ai-engineering-from-scratch-zh.
Open the folder on GitHubat commit d6c7b73
Compare with similar skills
Learn Agent Skills 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 |
|---|---|---|---|---|---|---|
| Learn Agent Skills this skillfancyboi999/ai-engineering-from-scratch-zh | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Clawpathy AutoresearchClawBio/ClawBio | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| AI Engineering Project Tutorrohitg00/ai-engineering-from-scratch | 67k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Generate Verifiers Envadithya-s-k/FineEnvs | 461 | 1 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Agent Skills Learning Path Tutorrohitg00/ai-engineering-from-scratch | 67k | — | ~1.9k | Automated safety check: Pass | MIT | |
| nanoGPT Training GuideOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~1.7k | Automated safety check: Pass | MIT |
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Questions about Learn Agent Skills
What does Learn Agent Skills do?
AI Engineering from Scratch 中 Agent Skills Engineering 路线的专注交互 tutor。. Learn Agent Skills is an agent skill from fancyboi999/ai-engineering-from-scratch-zh.md。 Start or resume this route when a learner wants to create, discover, invoke, secure, evaluate, package, or port Agent Skills.
When should I use Learn Agent Skills?
Learn Agent Skills fits situations like: AI & LLM Engineering work in your project.
How do I install Learn Agent Skills in Claude Code?
Run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a claude-code`. Or copy the skill folder (skills/learn-agent-skills in fancyboi999/ai-engineering-from-scratch-zh) into .claude/skills/learn-agent-skills in your project. Claude Code loads it when a task matches its description.
How do I install Learn Agent Skills in Codex?
Run `npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill learn-agent-skills -a codex`. Or copy the skill folder (skills/learn-agent-skills in fancyboi999/ai-engineering-from-scratch-zh) into .agents/skills/learn-agent-skills in your project. Codex loads it when a task matches its description.
Can I use Learn Agent Skills 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 learn-agent-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/learn-agent-skills, .gemini/skills/learn-agent-skills, .github/skills/learn-agent-skills and .opencode/skills/learn-agent-skills in your project.
What does Learn Agent Skills need to run?
Going by SKILL.md and its folder, Learn Agent Skills needs the command-line tools its instructions call (node, npx and python3). Our summary lists: Python 3; Node.js.
Does Learn Agent Skills access the network?
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Learn Agent Skills 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 Learn Agent Skills use?
Learn Agent Skills 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 Learn Agent Skills use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 Learn Agent Skills?
Skills that share tags, products or a category with Learn Agent Skills: Clawpathy Autoresearch (ClawBio/ClawBio, 1.2k stars), AI Engineering Project Tutor (rohitg00/ai-engineering-from-scratch, 67k stars), Generate Verifiers Env (adithya-s-k/FineEnvs, 461 stars) and Agent Skills Learning Path Tutor (rohitg00/ai-engineering-from-scratch, 67k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Learn Agent Skills?
fancyboi999 (a GitHub user) maintains it in fancyboi999/ai-engineering-from-scratch-zh, which has 1,204 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 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.