Repurpose Quora

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):

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):

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.

2. 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

3. Practical Steps (bulleted, 3-5 items) Translate insights into actionable takeaways. Use Quora formatting:

   **Step 1: [Action]** -- [Brief explanation]
   **Step 2: [Action]** -- [Brief explanation]

4. 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...").

5. 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

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:

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:

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