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Qiaomu Xinzhiyuan Title

skill-joeseesun-qiaomu-xinzhiyuan-title-qiaomu-xinzhiyuan-title · by joeseesun

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Install

$ agentstack add skill-joeseesun-qiaomu-xinzhiyuan-title-qiaomu-xinzhiyuan-title

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Qiaomu Xinzhiyuan Title

把用户给出的文章、新闻素材或原始标题改写成“新智元版”中文标题:高密度实体、数字钩子、强转折、AI 圈语感,但不捏造事实。

Trigger

Use this skill when the user asks to:

  • 把文章、新闻、草稿或标题改成新智元风格。
  • 给 AI/科技内容起“新智元版标题”或微信公众号爆款标题。
  • 让标题更像新智元、更抓人、更有 AI 媒体冲击力。
  • 在 Qiaomu workflow 中批量生成或筛选新智元味候选标题。

Do Not Trigger

  • 用户要学术论文标题、报告标题、乔木博客标题、36 氪/量子位/机器之心等其他媒体风格。
  • 用户明确要求克制、官方、SEO、产品公告、招聘 JD 或法律合规文案。
  • 用户只是总结、翻译、校对新智元文章,并明确“不改标题”。

Required Reference

Before rewriting, read [Xinzhiyuan Title Style](references/xinzhiyuan-title-style.md). It contains the data-backed style rules extracted from the local 2688-article workbook.

Workflow

  1. Parse the input into a fact card:
  • core entity: model, company, lab, person, paper, product, event
  • action: 发布、开源、泄露、登顶、融资、跳槽、翻车、突破、被裁、下架
  • hard hooks: numbers, rankings, speed, cost, benchmark, time, money, headcount
  • authority: OpenAI, Anthropic, Google, Meta, DeepMind, Nature, Science, top conference, top university, known researcher
  • stakes: who benefits, who is threatened, what changes, why now
  1. Choose one primary angle. Priority order:
  • major AI entity or famous person
  • hard number or benchmark
  • conflict, reversal, surprise, leak, ban, job movement
  • global/China/ranking/first-time framing
  • practical consequence for users, developers, researchers, companies
  1. Generate 5-7 headline candidates:
  • one recommended standard 新智元 version
  • one number-heavy version when numbers exist
  • one conflict/reversal version when the material supports it
  • one authority/ranking version when the material supports it
  • one question-hook version when uncertainty or suspense is real
  • one restrained version for lower-risk publishing
  1. Score candidates with the checklist in the reference. If many candidates are close, optionally run:
python3 scripts/score_title.py "候选标题1" "候选标题2"
  1. Return the recommended title first, then alternatives and a short fact boundary.

Hard Rules

  • Do not invent facts. Do not add “刚刚”, “全球第一”, “首个”, “Nature”, exact money, user count, benchmark, ranking, or named people unless present in the source or explicitly provided by the user.
  • Keep the default title between 24 and 42 Chinese characters. A longer title is acceptable only when it carries multiple true hooks.
  • Use , , , , and 「」 deliberately. Do not stack punctuation until the title becomes noisy.
  • Preserve real English model/company names such as GPT-5, Claude, Gemini, DeepSeek, OpenAI, Anthropic, Meta, xAI, Nvidia.
  • If the source is dry or low-stakes, make it “有新智元味但不过度炸裂”; use the restrained candidate as default.
  • Never transform sensitive medical, financial, legal, safety, or personal-risk claims into exaggerated certainty.

Output Format

Default output:

推荐标题:...

备选:
1. ...
2. ...
3. ...

风格依据:...
事实边界:...

When the user asks for only one title, output only 推荐标题 plus one brief 事实边界 note if any claim may need source support.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.