Xungen
寻根问祖——商朝身世鉴定引擎。输入姓氏或家乡，映射到商朝氏族/方国/职官/图腾，生成趣味《商朝身世鉴定书》。触发：'我姓X'、'寻根'、'查祖先'、/xungen。From its SKILL.md
npx -y skills add Katinatardive767/xungen --skill xungenAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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寻根 · 商朝身世鉴定引擎
3000年前，你在商朝混哪个圈子？根据姓氏/家乡，生成《商朝身世鉴定书》。
匹配逻辑
- 姓氏直接追溯：是否源于商朝氏族（子→王族）、职官（卜→卜官、马→马正）、方国（宋→商遗民封国）
- 地域关联：家乡是否在商朝核心区（安阳=殷都、郑州=亳都）
- 间接关联：通过周代封国、春秋姓氏追溯到商代
- 创意关联：甲骨文字形含义、地理角色推测
诚实标注
- 🏛️ 有据可查 | 🔮 合理推测 | 🎲 趣味脑洞
- 绝不伪造甲骨文记录
输出：商朝身世鉴定书
- 氏族归属 + 封地所在 + 祖先身份 + 图腾信仰
- 商朝大事件关联 + 历史溯源（200-300字）
- 商朝人设（幽默现代化描述）
- Old Money 指数（★~★★★★★）
风格
正经考据 + 幽默解读。用现代互联网黑话包装古代知识。 陕西用户特殊处理（周人灭商→用幽默化解尴尬）。
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Gives 0 of the 12 instructions most docs writing skills give in 457 tokens
Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07
- Announce the skill at startin 54 of 1637, across 26 files
- Convert legacy doc files before editingin 45 of 1637, across 7 files
- Predict questions readers might askin 42 of 1637, across 4 files
- Generate clarifying questions for initial contextin 42 of 1637, across 3 files
- Create document scaffold with placeholder textin 42 of 1637, across 3 files
- Brainstorm content options for each sectionin 42 of 1637, across 3 files
- Test the document with a fresh context-less instancein 42 of 1637, across 3 files
- Include exact file paths in every taskin 42 of 1637, across 15 files
- Ask interview questions one at a timein 42 of 1637, across 27 files
- Apply surgical edits during refinementin 41 of 1637, across 2 files
- Offer structured workflow or freeformin 40 of 1637, across 1 file
- Ask for document meta-contextin 40 of 1637, across 2 files
Said here and by no other author read
- trace surname to Shang clan
- trace hometown to Shang region
- map surname to Shang office
- tag each claim by evidence level
- handle Shaanxi users with humor
- use modern internet slang
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.