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repurpose-quora

Generates Quora content from content atoms: a detailed answer to a relevant question, a Quora Space post for thought leadership, and question suggestions for authority building. Optimizes for expertise signals, SEO value, and upvote-worthy depth. Sub-skill of the Content Repurposing Engine. Use when user says "quora", "quora answer", "quora space", "quora post", or "repurpose for quora".

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Atualizado há 6 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add AgriciDaniel/claude-repurpose

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Ler descrição completa

Quora Content Generator

Produce a detailed answer, a Quora Space post, and question suggestions from the content atoms provided by the orchestrator.

Inputs

Received from the parent agent (repurpose-longform):

| Input | Description | |-------|-------------| | atoms | Full list of content atoms with types and impact ratings | | main_argument | One-sentence thesis of the source content | | target_audience | Who benefits from this content | | primary_topic | Category or niche | | voice_profile | Detected or overridden brand voice | | brief_mode | If true, produce answer only (skip Space post and questions) |

References

Load before generating:

  • references/platform-specs.md -- Quora character limits, posting times, algorithm weights
  • references/voice-adaptation.md -- Quora tone rules (expert, evidence-based)
  • references/hook-formulas.md -- opening hooks for answers and Space posts

Core Principle: Authority Through Depth

Quora rewards expertise, not marketing. The platform's algorithm and community both prioritize thorough, evidence-based answers over shallow or promotional content.

What this means for output:

  • The answer must be complete and standalone -- a reader should learn everything

they need without clicking any link

  • Lead with direct answers, not preamble. Quora readers are impatient with "great question!" openings.
  • Credentials and specificity build trust. "After analyzing 200 campaigns..." beats "In my experience..."
  • Google indexes Quora answers heavily -- treat every answer as a mini SEO landing page
  • One external link maximum per answer, placed naturally in context or at the bottom
  • Never use phrases like "check out my article" or "I wrote about this on my blog"
  • Instead: "I covered the full methodology with data here: [link]" (if the link adds genuine value)

Output 1: Answer

File: quora/answer.md

Question

Derive the best question to answer from the content atoms. The question should be:

  • Something a real Quora user would actually search for or ask
  • Specific enough to have a clear answer, broad enough to attract traffic
  • Aligned with the strongest atoms (especially insight, stat, howto)

Question formulas (pick the best fit):

| Formula | When to Use | |---------|-------------| | "What is the best way to [achieve outcome]?" | When content has clear methodology or steps | | "Why does [common approach] fail at [topic]?" | When content has contrarian or diagnostic insights | | "How do [professionals] approach [topic] differently?" | When content reveals expert-level distinctions | | "What are the most common mistakes in [topic]?" | When content identifies pitfalls or anti-patterns | | "Is [common belief] actually true for [topic]?" | When content challenges conventional wisdom |

Answer Structure

Length: 300-1000 words. Quora's algorithm favors depth -- longer detailed answers get 2-3x more upvotes than short ones.

Format: Quora-native formatting (bold, italic, headers, lists, blockquotes).

Structure:

  1. Direct Answer (2-3 sentences)

Open by directly answering the question. No throat-clearing, no "Great question!", no biography. The first two sentences should deliver the core answer so clearly that a reader could stop here and still benefit.

  1. Evidence and Depth (3-5 paragraphs)

Expand with the strongest atoms. Use specific numbers, examples, and comparisons. Each paragraph should add a distinct layer of value:

  • Paragraph 1: The primary insight with supporting data
  • Paragraph 2: A real-world example or case study
  • Paragraph 3: The nuance -- when this applies, when it doesn't
  • Paragraphs 4-5 (optional): Additional evidence or secondary insights
  1. Practical Steps (bulleted, 3-5 items)

Translate insights into actionable takeaways. Use Quora formatting: `` Step 1: [Action] -- [Brief explanation] Step 2: [Action] -- [Brief explanation] ``

  1. Closing Thought (1-2 sentences)

End with either a forward-looking statement or a qualifier that shows intellectual honesty ("This works for X context; for Y, you'd adjust by...").

  1. Optional Link (1 sentence, separate from the answer body)

Only if the original content adds substantial depth beyond the answer. Frame: "Full breakdown with [specific extra value] here: [link]"

Tone Rules

| Do | Do NOT | |----|--------| | Use "I" and share experience with specifics | Make vague, unsubstantiated claims | | Lead with the answer, then explain | Start with "Great question!" or autobiography | | Cite numbers, studies, or concrete examples | Use marketing buzzwords or jargon | | Acknowledge nuance and edge cases | Speak in absolutes | | Use bold for key terms and takeaways | Use ALL CAPS or excessive formatting | | Write in clear, structured paragraphs | Write wall-of-text blocks | | Be authoritative but approachable | Be condescending or pedantic | | Credit sources when referencing data | Present others' work as your own |

Quora Formatting Reference

**bold text**
*italic text*
- bullet point
1. numbered list
> blockquote
[link text](url)

Headers are created with bold text on its own line.
Two line breaks = new paragraph.

Output 2: Space Post

File: quora/space-post.md

A shorter, more opinion-forward piece for a relevant Quora Space.

Space Post Structure

Length: 150-300 words. Space posts are lighter than answers -- think LinkedIn post energy but with Quora's intellectual depth.

Structure:

  1. Hook (1-2 sentences) -- Bold observation or insight from the atoms
  2. Body (2-3 short paragraphs) -- Personal take, supporting evidence, practical angle
  3. Discussion prompt (1 sentence) -- Invite Space members to share their perspective
  4. Suggested Space -- Name 1-2 relevant Quora Spaces based on the content topic

Space Selection Criteria

  • Topic relevance: Space actively discusses this subject
  • Activity level: Prefer Spaces with regular posting and engagement
  • Size: Medium Spaces (10k-100k followers) for best visibility

Common Space categories by content type:

| Content Topic | Likely Spaces | |---------------|---------------| | Marketing | Marketing Strategies, Digital Marketing, Content Marketing | | Entrepreneurship | Startups, Business Strategy, Entrepreneurship | | Tech/SaaS | Technology Trends, Software Engineering, Product Management | | Productivity | Personal Productivity, Self-Improvement, Time Management | | Writing/Content | Writing Tips, Content Creation, Blogging | | SEO | Search Engine Optimization, Digital Marketing | | AI/Automation | Artificial Intelligence, Machine Learning, AI Tools |

Output 3: Question Suggestions

File: quora/questions.md

Analyze the content topic and suggest 3-5 questions the user could find and answer on Quora.

For each question, provide:

| Field | Description | |-------|-------------| | Question | The exact question text as it would appear on Quora | | Relevance | Why this content can answer it well (1 sentence) | | Competition | Low / Medium / High -- based on how many quality answers likely exist | | SEO Potential | Low / Medium / High -- based on whether the question likely gets Google traffic | | Adaptation Notes | Any changes needed to the answer for this specific question |

Question selection criteria:

  1. Topic match -- the question naturally aligns with the content atoms
  2. Search intent -- the question reflects what people actually search for on Google
  3. Answer gap -- questions where existing answers are shallow or outdated
  4. Evergreen potential -- questions that will stay relevant for months or years

Error Handling

| Condition | Action | |-----------|--------| | Fewer than 3 atoms | Write a shorter answer (200-400 words); focus on one insight | | No insight or stat atoms | Use howto + quote atoms; frame as practical guide | | brief_mode is true | Ge

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