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funnel-analyzer

@guia-matthieu · 收录于 1 周前

Analyze conversion funnels and identify drop-offs. Use when: analyzing checkout funnel; tracking signup flow; identifying conversion blockers; optimizing user journey; visualizing funnel performance

适合你,如果你在分析用户转化流程并想找出流失原因

/ 下载安装
funnel-analyzer.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add guia-matthieu/clawfu-skills/funnel-analyzer
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- guia-matthieu/clawfu-skills/funnel-analyzer
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify guia-matthieu/clawfu-skills/funnel-analyzer
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
132GitHub stars
~282最小装载
~1.3K含声明引用
~1.4K文本包总量
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怎么用

技能原文 SKILL.md作者撰写 · MIT · a69bf67

Funnel Analyzer

Analyze conversion funnels to identify drop-off points and optimization opportunities.
What Claude Does vs What You Decide

| Claude Does | You Decide | |-------------|------------| | Structures analysis frameworks | Metric definitions | | Identifies patterns in data | Business interpretation | | Creates visualization templates | Dashboard design | | Suggests optimization areas | Action priorities | | Calculates statistical measures | Decision thresholds |

Dependencies
pip install pandas click
Commands
python scripts/main.py analyze data.csv --stages "visit,signup,trial,paid"
python scripts/main.py dropoff funnel.csv
python scripts/main.py visualize funnel.csv --output funnel-chart.html
Skill Boundaries
What This Skill Does Well
  • Structuring data analysis
  • Identifying patterns and trends
  • Creating visualization frameworks
  • Calculating statistical measures
What This Skill Cannot Do
  • Access your actual data
  • Replace statistical expertise
  • Make business decisions
  • Guarantee prediction accuracy
Skill Metadata
  • Mode: centaur
category: analytics
dependencies: [pandas]
difficulty: intermediate
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

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