voc-research ناجح

Extract Voice of Customer quotes from forums, reviews, and social media. Use when gathering customer language for copywriting, understanding pain points, or building messaging frameworks.

67من ١٠٠
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نجوم
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تنزيلات
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مشاهدات

// تثبيت المهارة

تثبيت المهارة

المهارات هي كود تابع لأطراف ثالثة من مستودعات GitHub العامة. يفحص SkillHub الأنماط الخبيثة المعروفة، لكنه لا يستطيع ضمان السلامة. راجع الكود المصدري قبل التثبيت.

تثبيت عام (على مستوى المستخدم):

npx skillhub install aiskillstore/marketplace/voc-research

تثبيت في المشروع الحالي:

npx skillhub install aiskillstore/marketplace/voc-research --project

skill.install.customTargetHelp

npx skillhub install aiskillstore/marketplace/voc-research --target-dir /path/to/skills

المسار المقترح: ~/.claude/skills/voc-research/

مراجعة الذكاء الاصطناعي

67
من ١٠٠
جودة التعليمات68
دقة الوصف68
الفائدة66
السلامة التقنية65

Scored 67 — solid VOC research methodology with clear category taxonomy and gold pattern detection. The quality rules (no AI-generated quotes, preserve typos) show thoughtful design. Mildly penalized for integration point references to specific TypeScript files suggesting project-specific origins, and for only 3 trigger phrases.

betasimplemarketerscopywritersproduct-managersvoc-researchcopywritingcustomer-researchmessaging
تمت المراجعة بواسطة claude-code في 15‏/4‏/2026

محتوى SKILL.md

---
name: voc-research
description: Extract Voice of Customer quotes from forums, reviews, and social media. Use when gathering customer language for copywriting, understanding pain points, or building messaging frameworks.
allowed-tools: Read, Write, Bash, WebFetch, mcp__exa__web_search_exa, mcp__playwright__browser_snapshot
---

# VOC Research Skill

## Purpose
Extract EXACT customer quotes from real sources to inform conversion copywriting with authentic customer language.

## Core Principle
**Verbatim quotes only** - Never summarize. Never paraphrase. Capture the exact words customers use.

## Data Sources
- Reddit (industry subreddits)
- ProductHunt (for SaaS)
- Google Reviews
- TrustPilot
- Facebook Groups
- Industry Forums
- Support Tickets (internal)

## Quote Categories (Per Methodology)

### 1. Pain Points
What frustrates them, what's broken, what keeps them up at night.
**Look for:** complaints, rants, "I hate when...", "Why can't...", "This is ridiculous..."

### 2. Symptoms
Observable problems they describe, what they notice going wrong.
**Look for:** descriptions of issues, "I noticed...", "Whenever I...", "The problem is..."

### 3. Dream Outcomes
What they wish for, ideal scenarios, the transformation they want.
**Look for:** "I wish...", "If only...", "Wouldn't it be great if...", "Imagine if..."

### 4. Failed Solutions
Things they've tried that didn't work, past disappointments.
**Look for:** "I tried X but...", "Nothing works", "I've already done..."

### 5. Buying Decisions
What made them choose or not choose, decision factors.
**Look for:** "What sold me was...", "I finally decided because...", "The reason I switched..."

## Gold Pattern Detection
Quotes that appear 3+ times across sources are **GOLD** for messaging.
These represent common customer language that resonates widely.

## Actions
1. Search forums/reviews for target industry
2. Extract exact quotes (copy-paste, no editing)
3. Categorize into 5 categories
4. Identify patterns (frequency analysis)
5. Mark gold quotes (3+ occurrences)
6. Store in `voc_research` table

## When to Use
- Before writing any landing page copy
- Before creating marketing campaigns
- When updating brand messaging
- During client onboarding
- Before A/B test hypothesis creation

## Integration Points
- `src/lib/agents/voc-research-agent.ts` - Main agent
- `voc_research` table - Storage
- ConversionCopywritingEngine - Consumer

## Output Format
```json
{
  "quote": "Exact customer words here",
  "source": "reddit/r/smallbusiness",
  "category": "pain_point",
  "sentiment": -45,
  "keywords": ["invoice", "late", "chasing"],
  "is_gold": true
}
```

## Quality Rules
1. **No AI-generated quotes** - Must be real customer language
2. **Preserve typos and slang** - Authenticity matters
3. **Include context** - Where was this said? Why?
4. **Date quotes** - Customer language evolves
5. **Verify sources** - Cross-reference when possible

الترخيص

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