Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Cluster keywords by semantic similarity and intent. Use when: organizing keyword research; creating content pillars; mapping keywords to pages; identifying content gaps; grouping search intent
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实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Group keywords by semantic similarity using embeddings - turn a keyword list into an organized content strategy.
| Claude Does | You Decide |
|---|---|
| Structures analysis frameworks | Strategic priorities |
| Synthesizes market data | Competitive positioning |
| Identifies opportunities | Resource allocation |
| Creates strategic options | Final strategy selection |
| Suggests implementation approaches | Execution decisions |
pip install scikit-learn sentence-transformers pandas click
# For simpler usage without ML:
pip install click pandas
python scripts/main.py cluster keywords.csv --n-clusters 10
python scripts/main.py cluster keywords.csv --column keyword --n-clusters 15
python scripts/main.py similar "content marketing" --count 20
python scripts/main.py intent keywords.csv --column keyword
# Input: keywords.csv with 500 keywords
python scripts/main.py cluster keywords.csv --n-clusters 12 --output clustered.csv
# Output:
# Cluster 1 (45 keywords): "content marketing"
# - content marketing strategy
# - content marketing tips
# - how to do content marketing
#
# Cluster 2 (38 keywords): "email marketing"
# - email marketing tools
# - best email marketing software
# - email campaign tips
# ...
python scripts/main.py intent keywords.csv --column keyword
# Output:
# Intent Analysis
# ──────────────────────
# Informational: 234 (47%)
# - how to, what is, guide, tips
# Commercial: 156 (31%)
# - best, top, review, compare
# Transactional: 78 (16%)
# - buy, price, discount, order
# Navigational: 32 (6%)
# - login, contact, brand names
| Intent | Signals | Content Type |
|---|---|---|
| Informational | how, what, why, guide | Blog posts, guides |
| Commercial | best, top, review, vs | Comparisons, reviews |
| Transactional | buy, price, discount | Product pages |
| Navigational | [brand], login, contact | Landing pages |
| Method | Best For | Speed |
|---|---|---|
| semantic | Meaning-based grouping | Slower |
| lexical | Word overlap grouping | Faster |
| intent | Search intent categories | Fast |
category: seo-tools
subcategory: keyword-research
dependencies: [scikit-learn, sentence-transformers, pandas]
difficulty: intermediate
time_saved: 5+ hours/week
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Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
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Calculate A/B test statistical significance. Use when: determining if test results are significant; calculating required sample size; estimating test duration; analyzing conversion experiments; making data-driven decisions
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Assess customer account health using product usage, support sentiment, payment status, and relationship signals
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Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad budget allocation, diagnosing underperforming ad channels, deciding whether to scale spend on a channel, calculating marginal ROI across Google Ads, Meta, LinkedIn, or TikTok, rebalancing media mix after performance shifts, or setting up a test-and-scale framework for new channels.
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Use when testing skills, commands, or agents for quality. Use after creating new skills, before deploying agents, or when debugging inconsistent agent behavior. Triggers on "evaluate", "test quality", "is this skill working", or QA of AI workflows.
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Use when analyzing server logs to understand how AI crawlers (GPTBot, ClaudeBot, PerplexityBot) interact with your site. Use when optimizing content placement for LLM retrieval, diagnosing why AI search isn't citing your content, or auditing crawl patterns to find optimization gaps.
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