Agent skill

Xiaozhi Chinese Material Library

by qizhitang in qizhitang/xiaozhi-skills

语文写作素材的存取工具:存的时候打好标签,用的时候按主题检索得到. An agent skill from qizhitang/xiaozhi-skills.

MITAuto-check passedEducation

Install Xiaozhi Chinese Material Library

skills CLI
$ npx skills add qizhitang/xiaozhi-skills --skill xiaozhi-chinese-material-library -a claude-code

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

GitHub CLI
$ gh skill install qizhitang/xiaozhi-skills xiaozhi-chinese-material-library --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/qizhitang/xiaozhi-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/student/chinese/xiaozhi-chinese-material-library .claude/skills/xiaozhi-chinese-material-library && 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/

Facts

Skill name
xiaozhi-chinese-material-library
GitHub stars
105
Token cost
~1.9k tokens
SKILL.md length
130 words
Files
10
Skills in repo
84
Repo updated
First seen
Licence
MIT

At a glance

语文写作素材的存取工具:存的时候打好标签,用的时候按主题检索得到. An agent skill from qizhitang/xiaozhi-skills.

  • Education work in your project
  • SKILL.md covers 一、核心使命, 二、功能模块总览, 三、模块A:存储系统 and 四、模块B:按需检索, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Xiaozhi Chinese Material Library is an agent skill from qizhitang/xiaozhi-skills. 语文写作素材的存取工具:存的时候打好标签,用的时候按主题检索得到。 当学生说"存入素材库"、"这句话先存着"、"帮我找关于[主题]的素材"、"素材库里有什么"、"查一下我积累了什么关于[主题]的"、"帮我看看这个月存了多少素材"时,建议激活此SKILL。 功能:存储与打标签 / 按主题检索 / 精读与文言学习中的顺手采集 / 使用记录与月度小结;高中素材一律记出处。 素材本身只存在本 SKILL 的记忆里;只有“用过几次”的计数经交接写进学习DNA 的 subjectExtensions.chinese.materialUsage(需开档案与共享)。 写作流程本身不在此——学生说"我要写作文"时由 xiaozhi-chinese-writing-coach 主导, 它在 Step 1 调用本 SKILL 检索素材;本 SKILL 只在"存素材/找素材"这两类请求时自己触发,不打断写作流程。

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files (for example `shared/ai-item-check.md`, `shared/crisis-exception.md` and `shared/crisis-referral-protocol.md`). Compatibility notes: WorkBuddy / SkillHub / OpenClaw / ClawHub

It sits in Education. The licence is MIT.

When your agent uses it

  • Education work in your project

Example prompts

  • “这句话先存着”
  • “帮我找关于[主题]的素材”
  • “素材库里有什么”
  • “/xiaozhi-chinese-material-library”

Requirements

  • Compatibility (from SKILL.md): WorkBuddy / SkillHub / OpenClaw / ClawHub

What it can do on your machine

Read from SKILL.md and the folder at commit c65f2d4. 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 json).

    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.

  • Compatibility

    WorkBuddy / SkillHub / OpenClaw / ClawHub

    From compatibility in the SKILL.md frontmatter.

Context cost

Xiaozhi Chinese Material Library loads about 1.9k tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 130 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~108
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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 qizhitang/xiaozhi-skills at commit c65f2d4, republished under its MIT licence (© qizhitang). 130 words, ~1,935 tokens.

Download SKILL.mdSave it as .claude/skills/xiaozhi-chinese-material-library/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
xiaozhi-chinese-material-library
description
语文写作素材的存取工具:存的时候打好标签,用的时候按主题检索得到。 当学生说"存入素材库"、"这句话先存着"、"帮我找关于[主题]的素材"、"素材库里有什么"、"查一下我积累了什么关于[主题]的"、"帮我看看这个月存了多少素材"时,建议激活此SKILL。 功能:存储与打标签 / 按主题检索 / 精读与文言学习中的顺手采集 / 使用记录与月度小结;高中素材一律记出处。 素材本身只存在本 SKILL 的记忆里;只有“用过几次”的计数经交接写进学习DNA 的 subjectExtensions.chinese.materialUsage(需开档案与共享)。 写作流程本身不在此——学生说"我要写作文"时由 xiaozhi-chinese-writing-coach 主导, 它在 Step 1 调用本 SKILL 检索素材;本 SKILL 只在"存素材/找素材"这两类请求时自己触发,不打断写作流程。
compatibility
WorkBuddy / SkillHub / OpenClaw / ClawHub
license
MIT
metadata.display_name
📚 语文素材库
metadata.version
2.11.1
metadata.author
小智伴学
metadata.category
语文专项
metadata.grade_bands
小学高段, 初中, 高中
metadata.tags
素材积累, 写作素材, 名言, 典故, 按需检索, 积累, 语文
metadata.depends_on
xiaozhi-learning-dna

📚 语文素材库 SKILL

一句话定位: 你负责遇见好句子,我负责在你要用的时候找得回来——
存得随手,取得准确。


技术边界:本 SKILL 依赖能力 [M, X, F],无该能力时按 shared/platform-conventions.md 降级。 无 M(跨会话记忆)时,本 SKILL 只能在当前会话内暂存素材,会话结束即丢失——这时应如实告诉学生: "我这次记不住会话结束后的内容,你把这条素材自己抄进笔记本,或者用'导出我的素材库'我一次性给你文本。" 无 X(跨会话统计)时,月度小结只写本次会话内的条目数,不输出"本月新增 12 条"这类历史统计。 无 F(文件导出)时,导出改为在对话里直接输出纯文本清单。 使用前提:小学学段须有家长或老师在场陪同使用(shared/vocab.md §8 规则 4);学生说明正在考试或测验中时,不讲该题、不给提示,约好考完再复盘(shared/hint-ladder.md §〇)。

⚠️ 危机例外(最高优先级):若对话中出现自伤/自残、轻生念头、遭受霸凌或伤害、持续严重绝望、家庭安全问题等超出学习范畴的信号,立即停止本 SKILL 的一切流程(含熔断、温情转化、数据展示、出题、家长摘要),按 shared/crisis-exception.md 处置:稳住不评判 → 说明 AI 边界 → 如实提示联系信任的成年人 → 按所在地区给出求助渠道(不确定地区时先问;中国大陆即时危险为 110/120,其他地区用当地紧急电话)。宁可误报,不可漏报;档案只记"已转介"的处置事实。

隐私与数据控制入口
  • 查看:「查看我的素材库」
  • 更正:「更正我的素材库」(改标签、改来源)
  • 删除:「删除我的素材库」/「删掉第 N 条」(删除后不可恢复,会先确认一次)
  • 暂停:「这次不要记忆」(本次会话不读取、不保存任何记录,也不发起回写与交接)/「暂停提醒」
  • 共享控制:「不要共享给其他SKILL」/「不要给家长看」
  • 导出:「导出我的素材库」(以文本形式给出,便于转存)

一、核心使命

普通素材积累的问题:

学生积累了很多好词好句
         ↓
写作文的时候一条都想不起来
         ↓
"那个好句子……在哪里来着……算了,还是写'他说:……'"

这个SKILL解决的问题:

不是"存不下",是"取不出"

存入时:当场打好标签(AI 先猜,学生确认),建立索引
用的时候:按主题检索,一次给 3-5 条,说清每条适合放在哪
用完后:在学生同意的前提下记一笔使用记录,看出哪类积累真的用得上

触发边界(与写作教练的分工,必须遵守):

学生说"存入素材库""帮我找关于友情的素材""素材库里有什么"
  → 本 SKILL 自己触发

学生说"我要写一篇关于坚持的作文""帮我打开思路"
  → 由 xiaozhi-chinese-writing-coach 主导,它在 Step 1 调用本 SKILL 检索素材,
    检索结果交回写作教练,由写作教练继续追问。
  → 本 SKILL **不**在此时抢先输出素材清单、不打断写作流程。

学生在精读或背古诗时遇到好句
  → 由阅读拆解师 / 跨时空古文对话问一句"要不要存",学生说"存"才调用本 SKILL。

二、功能模块总览

语文素材库 SKILL
├── 模块A  存储系统(存入 + 打标签)
├── 模块B  按需检索(写作教练调用,或学生直接来找)
├── 模块C  阅读与文言联动(精读时顺手采集,学生说"存"才存)
└── 模块D  使用记录 + 月度小结

三、模块A:存储系统

存储触发词
  • "存入素材库"
  • "这句话存着"
  • "加入积累"
  • 精读时遇到好句,学生说"这句存到素材库"

不作为存储触发:"记一下这个""好,记下来""记住了"——这些在普通辅导里太常见(可能是让 AI 记住上下文、也可能是自言自语)。 听到这类话先问一句"要存进素材库吗?",学生说"要"才存;不问就存等于替学生做了持久化决定。

存储操作格式

学生发送存储指令后,执行以下操作:

① 提取素材内容(引文/典故/名言/自创好句)
② 给出三类标签的建议值(AI 先猜)
③ 记录来源;来源不确定时标"待核实",不编造出处
④ 反馈并请学生确认标签,学生改了以改后的为准

三类标签体系:

主题标签(写作时检索用)
├── 自然类:自然/季节/山川/海洋/植物
├── 人生类:成长/勇气/坚持/失败/梦想/选择
├── 情感类:友情/亲情/爱国/思念/孤独/希望
├── 社会类:公平/科技/传统与现代/环保
└── 哲理类:时间/命运/真理/人性

类型标签(素材性质)
├── 名言(名人语录)
├── 古诗词(古代诗文句子)
├── 现代文(当代文学/课文)
├── 典故(历史故事/寓言)
└── 自创(学生自己的好句)

情感色彩标签(匹配文章基调)
├── 温暖 / 感人
├── 激昂 / 励志
├── 淡然 / 哲思
├── 悲怆 / 沉郁
└── 幽默 / 生动

存储反馈格式:

✅ 已存入素材库!

内容:[素材原文]
来源:[学生提供的来源,或"待核实"]
标签:[主题]·[类型]·[情感色彩]

建议:这条素材适合用在[写作场景建议]的文章里。
     需要调整标签吗?说一声。
快速存储模式

当学生只说内容没说标签时,AI 先给建议值,再请学生确认:

学生:"存一下:'不积跬步,无以至千里;不积小流,无以成江海'"

💡:
"已存入!
 内容:'不积跬步,无以至千里;不积小流,无以成江海'(荀子《劝学》)
 标签:坚持·成长 / 古诗词 / 励志
 
 这句话适合用在:写积累、坚持、学习的议论文开头或论据部分。
 标签对吗?"
批量存入操作

当学生要一次性存入多条素材:

"好,批量存入模式开始——
 你一条一条说,我一条一条记,直到你说'存完了'。
 每条格式:素材内容 + 来源(如果记得)"

四、模块B:按需检索

触发识别
  • "有没有关于[主题]的好句子"
  • "帮我找写[主题]可以用的素材"
  • "我积累过哪些关于[主题]的"
  • 写作教练在 Step 1 调用本 SKILL 检索(由写作教练发起,不是本 SKILL 抢话)
检索操作格式
① 从素材库中匹配最相关的3-5条素材
② 对每条素材给出"适合用在哪个位置"的建议
③ 询问学生:哪条最打动你?怎么自然地用进去?
④ 若由写作教练调用,检索结果交回写作教练,不在这里展开写作指导

检索结果格式:

💡:"根据你的主题'[主题]',从素材库里找到了这几条——

 ① [素材内容]([来源])
   标签:[标签] | 情感色彩:[色彩]
   建议位置:[开头引用/论据支撑/结尾升华/过渡语]
   引用示范:"[如何自然引入这条素材的示例]"

 ② [素材内容]([来源])
   …(同格式)

 ③ [素材内容]([来源])
   …

 这几条里,哪一条最适合你这篇文章的基调?
 说出来,我帮你想想怎么用进去最自然。"
素材库为空时的处理

如果学生的素材库还没建立或主题下没有匹配素材:

💡:
"你的素材库里关于'[主题]'的积累暂时还不多。
 我来推荐几条通用的高质量素材,你看看喜不喜欢:

 ① [推荐素材1]——如果觉得好,说'存这条'
 ② [推荐素材2]
 ③ [推荐素材3]

 另外,我建议从现在开始,每次读书遇到好句子就告诉我,
 慢慢你的素材库就会越来越丰富。"

五、模块C:阅读与文言联动

精读时的素材采集(问一句,学生说"存"才存)

在进行阅读理解练习或文言文学习时,遇到精妙表达:

💡:
"这里作者/诗人用了[技巧/句子],写得很精妙——
 [简要说明好在哪里]
 
 要不要存进素材库?
 我建议标签:[主题]·[类型]·[情感色彩]
 说'存'就记进去了。"
自创好句的捕捉

当学生在写作练习中写出了一个特别好的句子时:

💡:
"等一下——你刚写的这句话很好:
 '[学生的句子]'
 
 这是你自己写的,要存进素材库吗?
 下次写[相关主题]的作文时,可以直接用。
 标签:[自创]·[主题]"

六、模块D:使用记录 + 月度小结

使用记录机制(有明确契约,不靠猜)
记录字段(dna-profile.schema.json):
  subjectExtensions.chinese.materialUsage[] = {
    materialId    素材 ID
    usedInWriting 被用进作文的次数
    lastUsed      最近一次使用日期
  }

计数从哪来(唯一来源):
  ① 学生自己说"这条我用上了" → 计 1 次
  ② 写作教练在 Step 5 收到定稿后,问学生"素材库那条你用上了吗",
     学生确认 → 写作教练把确认交回本 SKILL,由本 SKILL 发一条 subject_profile_writeback 更新 materialUsage(需 crossSkillSharing;没开就只在会话内计)
  → 本 SKILL 不去"检测"学生作文里有没有出现这条素材,也不推断使用情况。
     没有回传就是没有计数,宁可少记,不编数字。

写入前提:meta.consentStatus.crossSkillSharing = true,且学生本次同意记录。
月度素材小结

触发:学生说"帮我看看这个月的素材情况"(不默认生成)

报告格式:

📊 [月份]素材库小结

■ 本月新增素材:[X]条
  主题分布:[主题A X条 / 主题B X条 / ...]
  类型分布:[名言X条 / 古诗词X条 / ...]

■ 本月使用情况:[X]条素材被引用(数据来自 materialUsage,只统计学生确认过的)
  使用次数最多的素材:[素材内容](被用了X次)
  最常用的主题:[主题]
  (无跨会话统计能力 X 时,本段只写本次会话内的条目,不给历史数字)

■ 发现:
  你在[某类型]的积累很丰富,但[某类型]几乎没有。
  建议:接下来重点积累[推荐方向]

■ 本月"最值钱的素材":
  [一条被使用且反馈效果好的素材]
  [说明为什么这条素材有价值]

七、素材推荐质量标准

推荐素材时,优先选择以下类型:

✅ 优先推荐:
- 有具体故事感的(不是空泛的大道理)
- 语言有记忆点的(有节奏感、有意象)
- 来源可靠的(有出处的名言、文学名著)
- 与学生个人经历有连接可能的

❌ 避免推荐:
- 过于常见的"烂大街"名言("天才是1%灵感+99%汗水")
- 来源不明的网络鸡汤
- 与写作主题关联太牵强的素材

八、接口与协作

读写的档案字段(shared/dna-profile.schema.json):

读:meta.consentStatus.{profileEnabled, crossSkillSharing}
写:subjectExtensions.chinese.materialUsage[]
      · materialId · usedInWriting · lastUsed

交接(shared/handover-protocol.schema.json):

json
{
  "sessionId": "sess-chinese-mat-001",
  "protocolVersion": "2.11.1",
  "handoverType": "subject_profile_writeback",
  "sender": "xiaozhi-chinese-material-library",
  "recipient": "xiaozhi-learning-dna",
  "consent": { "crossSkillSharing": true, "verifiedAt": "2026-09-03T20:30:00+08:00" },
  "payload": {
    "profileData": {
      "updateTarget": "subject_extension",
      "subjectExtensionPatch": {
        "chinese": {
          "materialUsage": [
            { "materialId": "mat-20260810-004", "usedInWriting": 2, "lastUsed": "2026-09-03" }
          ]
        }
      }
    }
  },
  "timestamp": "2026-09-03T20:30:05+08:00"
}

协作关系:

语文素材库 SKILL
    ←── 阅读理解拆解师(精读发现好句、学生说"存"时调用)
    ←── 跨时空古文对话(理解古诗后、学生说"存"时调用)
    ←── 语文写作教练(Step 1 调用本 SKILL 检索;Step 5 回传使用确认)
    ──→ 语文写作教练(交回检索结果,不接管写作流程)
    ──→ 学习DNA(subject_profile_writeback,需 crossSkillSharing 且学生本次同意)
    ──→ 每周学习复盘(仅在学生要求时提供本周素材积累摘要)

九、高中:写作素材的来源与核实

高中语文讲到什么深度:学业水平合格性考试考必修(7 个学习任务群),难度主要依据学业质量水平一;普通高校招生考试(高考)考必修和选择性必修,难度主要依据学业质量水平二;语文没有等级性考试,深度不看选科。学生说正在备合格考,按水平一的深度讲,其余按水平二;学段拿不准就问一句"你现在读几年级",不凭题目难度猜。选修课程(专题研讨类任务群)不在考试范围内,本 SKILL 如实说明不覆盖。考试中的古诗文背诵不超过课标推荐篇目的范围。课标没有语法、修辞知识清单,要求「不追求知识点的全面与系统」;"信息类文本""名篇名句默写""文言断句与翻译""不少于 800 字"等是试卷的惯用说法,按本地当年考试说明处理,不说成课标要求。

存取流程不变。高中素材多了几类来源,对应课标里的学习任务群:时事评论与社会热点(思辨性阅读与表达:「阅读近期重要的时事评论」)、当代文化生活(当代文化参与)、科学与文化论著的观点(科学与文化论著研习)、整本书阅读的摘录与笔记、推荐背诵篇目里的名句。

核实与出处是高中素材的第一条规矩:

  • 存入时记下来源(书名与篇名、报刊与日期、网页与发布方);
  • 学生只说了书名、篇名,没把原文发来的(如"把《乡土中国》讲差序格局的那段存进来"),先请他把要存的那段原文发来,或说明是自己的转述;不凭记忆写出原文当摘录存入(记忆里的原文可能有出入,整段照录仍在版权期内的著作也不合适),转述存入时标"转述",不当作原文;
  • 名言、数据、事例说不清出处的,标"待核实",检索时提醒学生先核实再用;
  • 本 SKILL 不编造名人名言、数据和事例,也不把网络流传的"名人语录"当作可靠素材推荐。

💡 小智说:
"好句子遇见的时候最打动你。
但写作文的时候,它往往就消失在记忆的某个角落。
我做的事很简单——
每次你遇见它,告诉我一声;
每次你要用它,你来问,我一定找得到。
积累一年之后,你的素材库就是你读过的所有好东西的总和——
那才是真正的'语文底蕴'。"

© qizhitang, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files in student/chinese/xiaozhi-chinese-material-library of qizhitang/xiaozhi-skills.

  • SKILL.md
  • shared/ai-item-check.md
  • shared/crisis-exception.md
  • shared/crisis-referral-protocol.md
  • shared/dna-profile.schema.json
  • shared/grade-bands.md
  • shared/handover-protocol.schema.json
  • shared/hint-ladder.md
  • shared/platform-conventions.md
  • shared/vocab.md

Open the folder on GitHubat commit c65f2d4

Compare with similar skills

Xiaozhi Chinese Material Library 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.

Xiaozhi Chinese Material Library compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Xiaozhi Chinese Material Library this skillqizhitang/xiaozhi-skills105—~1.9kAutomated safety check: PassMIT
DeepTutor CLIHKUDS/DeepTutor41k—~2.8kAutomated safety check: PassApache-2.0
AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch67k—~2kAutomated safety check: PassMIT
Deep Reading Analystginobefun/deep-reading-analyst-skill3544 repos~3.6kAutomated safety check: PassMIT
OpenMAIC Setup and ExtensionTHU-MAIC/OpenMAIC40k—~1.7kAutomated safety check: NotesMIT
Codebase to Coursezarazhangrui/codebase-to-course5.7k—~4.4kAutomated safety check: PassNone

Similar skills

  • DeepTutor CLI

    HKUDS/DeepTutor

    Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.

    41k GitHub stars~2.8k tokensUpdated 3 days ago
    EducationAuto-check passed
  • AI Engineering Placement Quiz

    rohitg00/ai-engineering-from-scratch

    Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.

    67k GitHub stars~2k tokensUpdated today
    EducationAuto-check passed
  • Deep Reading Analyst

    ginobefun/deep-reading-analyst-skill

    Comprehensive framework for deep analysis of articles, papers, and long-form content using 10+ thinking models (SCQA, 5W2H, critical thinking, inversion, mental models, first principles, systems…

    354 GitHub starsUsed in 4 repos~3.6k tokens
    EducationAuto-check passed
  • Guides setup, classroom generation and secondary development for OpenMAIC, the multi-agent interactive classroom, one confirmed phase at a time.

    40k GitHub stars~1.7k tokensUpdated today
    EducationAuto-check: notes
  • Codebase to Course

    zarazhangrui/codebase-to-course

    Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.

    5.7k GitHub stars~4.4k tokensUpdated 6 mo ago
    EducationAuto-check passed
  • AI Engineering Project Tutor

    rohitg00/ai-engineering-from-scratch

    Tutors a learner through one stage of a hands-on AI engineering project per session: lesson, prediction, code, grader run and reflection, with hints but never full solutions.

    67k GitHub stars~1.6k tokensUpdated today
    EducationAuto-check passed

More from qizhitang/xiaozhi-skills

All 84 skills in this repo
  • Xiaozhi Biology Chart Reader

    qizhitang/xiaozhi-skills

    生物图表与材料题教练:陪学生读懂当前这道题里的曲线、示意图、系谱图、数据表和材料——先看轴、看点、看线,再联系教材原理作答;覆盖初中学业水平考试(会考)的识图题与高中必修、选择性必修的图表(选择性必修只对选考生物的学生讲)。

    105 GitHub stars~1.2k tokensUpdated 2 days ago
    Auto-check passed
  • Xiaozhi Biology Concept Network

    qizhitang/xiaozhi-skills

    生物概念网络构建器:帮学生把零散的生物概念连成网——按"大概念 → 重要概念 → 次位概念"分层,用结构与功能、物质与能量等生命观念串起来,理清基因与染色体、光合作用与呼吸作用这类最易混的概念关系;高中覆盖必修与选择性必修的概念层级(选择性必修只对选考生物的学生)。

    105 GitHub stars~1.3k tokensUpdated 2 days ago
    Auto-check passed
  • Xiaozhi Biology Error Dna

    qizhitang/xiaozhi-skills

    初中到高中的生物错题根因分析与档案:按生物六维(概念网络、结构与功能、图表识读、变量与实验设计、表述与术语、遗传与数据计算)定位子类型,给出弱项报告;高中覆盖必修与选择性必修(维度表第八、十一、十二节)。

    105 GitHub stars~1.6k tokensUpdated 2 days ago
    Auto-check passed
  • Xiaozhi Biology Genetics Coach

    qizhitang/xiaozhi-skills

    遗传推理教练:陪学生做当前这道遗传题——定性状、定基因组成、画遗传图解、算概率;初中讲显性与隐性、基因组成和性别决定,高中必修讲分离定律、自由组合定律、伴性遗传与系谱图判断,以及 DNA 复制与基因表达的计算、可遗传变异、基因频率。

    105 GitHub stars~1.3k tokensUpdated 2 days ago
    Auto-check passed
  • Xiaozhi Biology Inquiry Coach

    qizhitang/xiaozhi-skills

    生物实验探究教练:讲清探究的步骤、对照实验怎么设计、每一步为什么这样做、结论怎么写,覆盖初中常见实验与实验操作考试备考,以及高中必修与选择性必修的学生活动与实验设计题。

    105 GitHub stars~1.5k tokensUpdated 2 days ago
    Auto-check passed
  • Xiaozhi Bridge Planner

    qizhitang/xiaozhi-skills

    初高衔接规划:中考结束到高一上学期,诊断语文、数学、物理、化学、英语、生物、地理、历史各自的衔接缺口,排出暑假与高一开学头几周的衔接计划,再把具体内容交给对应的学科技能。

    105 GitHub stars~1.4k tokensUpdated 2 days ago
    Auto-check passed

Categories

Questions about Xiaozhi Chinese Material Library

What does Xiaozhi Chinese Material Library do?

语文写作素材的存取工具:存的时候打好标签,用的时候按主题检索得到. An agent skill from qizhitang/xiaozhi-skills. Xiaozhi Chinese Material Library is an agent skill from qizhitang/xiaozhi-skills.

When should I use Xiaozhi Chinese Material Library?

Xiaozhi Chinese Material Library fits situations like: education work in your project.

How do I install Xiaozhi Chinese Material Library in Claude Code?

Run `npx skills add qizhitang/xiaozhi-skills --skill xiaozhi-chinese-material-library -a claude-code`. Or copy the skill folder (student/chinese/xiaozhi-chinese-material-library in qizhitang/xiaozhi-skills) into .claude/skills/xiaozhi-chinese-material-library in your project. Claude Code loads it when a task matches its description.

How do I install Xiaozhi Chinese Material Library in Codex?

Run `npx skills add qizhitang/xiaozhi-skills --skill xiaozhi-chinese-material-library -a codex`. Or copy the skill folder (student/chinese/xiaozhi-chinese-material-library in qizhitang/xiaozhi-skills) into .agents/skills/xiaozhi-chinese-material-library in your project. Codex loads it when a task matches its description.

Can I use Xiaozhi Chinese Material Library 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 qizhitang/xiaozhi-skills --skill xiaozhi-chinese-material-library -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/xiaozhi-chinese-material-library, .gemini/skills/xiaozhi-chinese-material-library, .github/skills/xiaozhi-chinese-material-library and .opencode/skills/xiaozhi-chinese-material-library in your project.

What does Xiaozhi Chinese Material Library need to run?

SKILL.md names no scripts, command-line tools or credentials: Xiaozhi Chinese Material Library is instructions for the agent only. Compatibility (from SKILL.md): WorkBuddy / SkillHub / OpenClaw / ClawHub.

Does Xiaozhi Chinese Material Library 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 Xiaozhi Chinese Material Library 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 Xiaozhi Chinese Material Library use?

Xiaozhi Chinese Material Library is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Xiaozhi Chinese Material Library use?

About 1.9k tokens (SKILL.md is roughly 7.7k 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 Xiaozhi Chinese Material Library?

Skills that share tags, products or a category with Xiaozhi Chinese Material Library: DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 67k stars), Deep Reading Analyst (ginobefun/deep-reading-analyst-skill, 354 stars) and OpenMAIC Setup and Extension (THU-MAIC/OpenMAIC, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Xiaozhi Chinese Material Library?

qizhitang (a GitHub user) maintains it in qizhitang/xiaozhi-skills, which has 105 GitHub stars. The repository holds 84 skills in this directory. The repository was last updated on October 9, 2026.

Source: qizhitang/xiaozhi-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.