repurpose-quora

name	repurpose-quora
description	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".
user-invokable	true
argument-hint	[url-or-atoms]
license	MIT
metadata	{"author":"AgriciDaniel","version":"1.0.0","category":"content"}

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.

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

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	Generate answer only; skip Space post and question suggestions
Topic is too niche for broad Quora reach	Note in questions.md; suggest specific Spaces instead
Content is purely promotional	Reframe entirely around the expertise; strip all product mentions
No clear question derivable	Use the tldr atom to reverse-engineer a "How to..." question