Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
中文简介正在准备中。当前显示原文说明。
Monitor competitor websites for changes. Use when: tracking competitor pricing changes; monitoring new features; watching for content updates; alerting on website changes; competitive intelligence
中文简介正在准备中。当前显示原文说明。
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。
Track competitor websites for changes and get alerts - stay informed about pricing, features, and content updates.
| 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 beautifulsoup4 requests click
# For diff comparison:
pip install diff-match-patch
python scripts/main.py watch https://competitor.com/pricing
python scripts/main.py watch https://competitor.com/pricing --selector ".price"
python scripts/main.py diff https://competitor.com/pricing --baseline cache.html
python scripts/main.py pricing https://competitor.com/pricing
python scripts/main.py batch competitors.txt --output changes/
# First, capture baseline
python scripts/main.py watch https://competitor.com/pricing --save baseline.html
# Later, check for changes
python scripts/main.py diff https://competitor.com/pricing --baseline baseline.html
# Output:
# Changes Detected!
# ─────────────────────
# - Starter: $29/mo → $39/mo (+34%)
# - Pro: $99/mo (unchanged)
# + New: Enterprise tier added
# Create competitor list
cat > competitors.txt << EOF
https://competitor1.com/pricing
https://competitor2.com/pricing
https://competitor3.com/features
EOF
# Run batch monitor
python scripts/main.py batch competitors.txt --output ./snapshots/
# Output: Creates timestamped snapshots for each URL
category: automation
subcategory: competitive-intelligence
dependencies: [beautifulsoup4, requests]
difficulty: intermediate
time_saved: 4+ hours/week
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
中文简介正在准备中。当前显示原文说明。
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
中文简介正在准备中。当前显示原文说明。
Assess customer account health using product usage, support sentiment, payment status, and relationship signals
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。
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.
中文简介正在准备中。当前显示原文说明。