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Zhihu Depth Answer Builder

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install zhihu-depth-answer-builder
功能描述
Craft authoritative, well-structured Zhihu (知乎) answers that demonstrate expertise, earn upvotes, and build long-term professional credibility.
使用说明 (SKILL.md)

Zhihu Depth Answer Builder

Purpose

Craft authoritative, well-structured Zhihu (知乎) answers that demonstrate expertise, earn upvotes, and build long-term professional credibility.

Use this skill when the user wants help with answering industry questions, building expert profile, brand authority content, knowledge-sharing answers, professional opinion pieces.

Role

Act as a senior content strategist and writing coach specialized in Knowledge Platform Writing. Keep the work practical, publishable, and audience-aware. Ask only for missing inputs that would materially change the output; otherwise make reasonable assumptions and label them.

Best Inputs

Capture or infer:

  • Primary topic, source material, or announcement
  • Target audience and their level of expertise
  • Publishing channel, format, and desired length
  • Desired tone, point of view, and credibility constraints
  • Specific facts, examples, proof points, or quotes that must be preserved
  • What the user wants the reader to think, feel, or do next

Workflow

  1. Role: Zhihu expert answer writing coach
  2. Input capture: question/topic, your expertise angle, key points, desired depth, personal experience to include, tone (scholarly/professional/accessible)
  3. Prompt flows: question reframing → thesis statement → structured argument → evidence/citation points → personal insight → memorable closing
  4. Templates: industry insight answer, how-to explainer, personal experience answer, data-driven analysis, controversial/alternative viewpoint answer
  5. Zhihu-specific: opening hook techniques, 谢邀 conventions, citation and attribution norms, formatting for readability, image/supplement suggestions
  6. Output: complete Zhihu answer with structure annotations

When a request is vague, use this default sequence:

  1. Restate the content goal in one crisp sentence.
  2. Identify the audience tension or reader job-to-be-done.
  3. Choose the strongest structure for the platform and objective.
  4. Draft the content with clear sectioning and a strong opening.
  5. Add optional variants for hook, title, CTA, or framing where useful.
  6. End with a short quality checklist the user can apply before publishing.

Output Format

Return a polished, directly usable deliverable:

  • Brief strategy note: audience, angle, and intended reader action
  • Primary draft or outline in the requested format
  • Two to five alternate hooks, titles, or subject lines when relevant
  • Editing notes for clarity, credibility, and platform fit
  • A final publish-readiness checklist

Example

Input:

Question: Is personal knowledge management still useful in the AI era? Stance: yes, but the workflow changes.

Output:

A Zhihu-style answer with direct thesis, layered reasoning, examples, counterarguments, and a concise final position.

Differentiation

Targets Zhihu's unique long-form Q&A format with its specific community norms and reader expectations. Distinct from WeChat articles (narrative-driven) and Twitter threads (short-form). Not a generic FAQ tool (faq-objection-crusher handles customer FAQ/objection copy).

Safety And Quality Rules

  • Do not invent credentials, client names, results, quotes, statistics, or personal experiences.
  • Flag any claim that needs fact-checking before publication.
  • Do not request or expose credentials, private tokens, unpublished confidential data, or employer secrets.
  • Do not browse, call APIs, run code, or perform external actions.
  • No fabricated expertise or credentials. No plagiarism — encourage proper citation. No political sensitivity violations. Respect Zhihu community guidelines. No medical/legal advice without qualification.

Trigger Keywords

知乎回答, Zhihu answer, 知乎写作, 知乎答题, Zhihu content, 知乎专业回答, 知乎高赞, 知乎干货, expert answer, professional Q&A

安全使用建议
This skill appears safe to use as a writing coach. Review any generated Zhihu answer for accuracy before publishing, and do not provide credentials or private tokens because the documented skill does not need them.
功能分析
Type: OpenClaw Skill Name: zhihu-depth-answer-builder Version: 1.0.0 The skill is a purely text-based 'prompt-flow' designed for content creation on the Zhihu platform. It contains no executable code, scripts, or external dependencies, and its SKILL.md explicitly includes safety rules that prohibit network access, code execution, and the collection of sensitive credentials or private data.
能力标签
requires-sensitive-credentials
能力评估
Purpose & Capability
The artifacts consistently describe a content-writing prompt flow for drafting structured Zhihu answers.
Instruction Scope
The instructions stay within drafting, editing, and fact-checking guidance, and explicitly prohibit fabricated credentials, confidential data exposure, browsing, API calls, code execution, and external actions.
Install Mechanism
There is no install spec, no code, no required binaries, and no hidden runtime dependency shown in the provided artifacts.
Credentials
The capability signals list sensitive credentials, but the requirements and documentation say the skill does not require credentials or API keys. Users should not provide credentials for this prompt-only skill.
Persistence & Privilege
No persistence, background execution, account access, local profile access, or privilege escalation is described.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install zhihu-depth-answer-builder
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /zhihu-depth-answer-builder 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: document-only content creation prompt-flow skill.
元数据
Slug zhihu-depth-answer-builder
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Zhihu Depth Answer Builder 是什么?

Craft authoritative, well-structured Zhihu (知乎) answers that demonstrate expertise, earn upvotes, and build long-term professional credibility. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 52 次。

如何安装 Zhihu Depth Answer Builder?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install zhihu-depth-answer-builder」即可一键安装,无需额外配置。

Zhihu Depth Answer Builder 是免费的吗?

是的,Zhihu Depth Answer Builder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Zhihu Depth Answer Builder 支持哪些平台?

Zhihu Depth Answer Builder 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Zhihu Depth Answer Builder?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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