audio-processing
Use when processing audio for Xiaohongshu content, editing voiceovers, improving sound…
Use when analyzing keywords on Xiaohongshu for content optimization, researching trending topics, discovering search terms, improving content discoverability, or conducting SEO keyword research
$ npx -y skills add vivy-yi/xiaohongshu-skills --skill keyword-analysis --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/keyword-analysisContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when analyzing keywords on Xiaohongshu for content optimization, researching trending topics, discovering search terms, improving content discoverability, or conducting SEO keyword research
name: keyword-analysis description: Use when analyzing keywords on Xiaohongshu for content optimization, researching trending topics, discovering search terms, improving content discoverability, or conducting SEO keyword research
Keyword analysis is the systematic research and evaluation of search terms and topics on Xiaohongshu to understand what users are searching for, optimize content for discoverability, and create data-driven content strategies that align with audience demand.
**Use when**:
**Do NOT use when**:
**Before** (guessing topics, low discoverability):
❌ "I think people search for 'skincare tips'" ❌ "No research on what's actually trending" ❌ "Content buried, nobody finds it" ❌ "Guessing game, hit-or-miss results"
**After** (data-driven keywords, high discoverability):
✅ "'Winter skincare for dry skin' has 50K searches" ✅ "Long-tail keywords have less competition, high intent" ✅ "Optimized content ranks #1, 10x more views" ✅ "Keyword research drives content strategy"
**4 Keyword Types**: 1. **Short-tail** - Broad, high volume, high competition (e.g., "skincare") 2. **Medium-tail** - More specific, moderate competition (e.g., "dry skin skincare") 3. **Long-tail** - Specific phrases, lower competition (e.g., "winter skincare routine for dry sensitive skin") 4. **Trending** - Time-sensitive buzzwords (e.g., "glass skin trend 2025")
| Keyword Type | Search Volume | Competition | Conversion Rate | Best For | |--------------|---------------|-------------|-----------------|----------| | **Short-tail** | Very High | Very High | Low | Brand awareness | | **Medium-tail** | High | High | Medium | Category authority | | **Long-tail** | Medium | Low | High | Niche targeting | | **Trending** | Spike | Variable | Medium | Timely content |
**Define Keyword Objectives**:
Primary Objectives (Choose 1-2): Content Discoverability: - Rank higher in Xiaohongshu search - Increase organic traffic from search - Improve content recommendations - Target: Top 10 ranking for target keywords Audience Understanding: - Learn what users are searching for - Identify pain points and interests - Discover trending topics and questions - Target: Top 50 keywords in niche documented Competitive Analysis: - See what keywords competitors rank for - Find keyword gaps and opportunities - Benchmark keyword performance - Target: Identify 20+ competitor keywords to target Content Strategy: - Plan content around high-demand keywords - Prioritize topics by search volume - Fill content gaps in niche - Target: Content calendar aligned with keyword opportunities Success Metrics: - Keyword rankings: Position in search results - Organic traffic: Views from search - Click-through rate: Searches to views - Keyword difficulty: Competition level - Search volume: Monthly searches - Conversion rate: Search to purchase/follow
**Understand Xiaohongshu Search Behavior**:
How Users Search on Xiaohongshu: 1. Problem-Based Searches - "How to cure acne" - "Best products for dry skin" - "Skincare routine for beginners" - Intent: Seeking solutions and information 2. Product-Based Searches - "Vitamin C serum reviews" - "Sunscreen recommendations" - "Moisturizer for oily skin" - Intent: Researching before purchase 3. Trend-Based Searches - "Glass skin trend" - "K-beauty 2025" - "Clean beauty brands" - Intent: Staying current, discovering trends 4. Brand-Based Searches - "[Brand name] reviews" - "Is [brand] good for..." - "[Brand] vs [brand] comparison" - Intent: Validation and comparison 5. How-To Searches - "How to layer skincare" - "How to apply serum" - "How to treat acne naturally" - Intent: Learning and education Search Intent Types: - Informational: Learning, researching - Commercial: Comparing, considering purchase - Transactional: Ready to buy - Navigational: Finding specific brand/account Keyword Research Must Match Intent: Don't optimize for "buy skincare" with educational content Don't optimize for "how to treat acne" with sales page
**Keyword Research Methods**:
Method 1: Platform Native Search Use Xiaohongshu's built-in search: Process: 1. Start typing topic in search bar 2. Note autocomplete suggestions (these are popular searches) 3. Review search results for top content 4. Check related searches at bottom 5. Note keyword suggestions What to capture: - Autocomplete terms - Related searches - Top ranking content - Search result count (shown at top) - Content formats that rank Example: Search: "skincare" Autocomplete suggests: - "skincare routine" - "skincare for acne" - "skincare products" - "skincare tips" - "winter skincare" - "skincare for dry skin" Capture all these as keyword opportunities --- Method 2: Competitor Analysis Research what keywords competitors rank for: Process: 1. Identify top 10 competitors in niche 2. Search their brand and topics 3. Analyze their top-performing content 4. Note keywords in their titles and tags 5. Check their hashtag usage Tools: - Manual review of competitor profiles - Xiaohongshu search for competitor content - Third-party analytics tools (Huitun, etc.) What to analyze: - Keywords in post titles - Hashtag strategies - Topic frequency - Content formats that work -
版本: v3.0 Complete Edition 更新: 2025-01-22 状态: ✅ 完整 (139个技能)
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