All Skills Search Tools

|

Loading...

AI Agent Skills Directory with categorization, English/Chinese translation, and script security checks.

Sitemap

Home
All Skills
Search
Tools

About

About Us
Disclaimer
Copyright

Help

FAQ
Privacy
Terms

Contact Us:osulivan147@qq.com

© 2026 Skill4Agent. All rights reserved.

Home/All Skills/Data Processing/onboarding-dropoff-explainer

onboarding-dropoff-explainer

Original：🇺🇸 English

Translated

1 scriptsChecked / no sensitive code detected

Vendor-neutral skill to analyze onboarding funnel dropoff and propose prioritized interventions.

5installs

Sourcesisodiabhumca/agent-skills

Added on2026-05-30

NPX Install

npx skill4agent add sisodiabhumca/agent-skills onboarding-dropoff-explainer

Tags

Translated version includes tags in frontmatter

onboarding-funnel-analysis dropoff-analysis intervention-prioritization data-processing business-reporting

SKILL.md Content

View Translation Comparison →

Purpose

Use this skill to process structured input and produce a concise, actionable report.

Input

JSON object or CSV rows with the relevant business signals.

Output

Structured JSON summary with findings and recommendations.

Download

Download TranslatedIncludes original Skill.md

(1.9 KB)Download Original(1.3 KB)

Related Skills

extract

Extract content from specific URLs using Tavily's extraction API. Returns clean markdown/text from web pages. Use when you have specific URLs and need their content without writing code.

looker-studio-bigquery

Design and configure Looker Studio dashboards with BigQuery data sources. Use when creating analytics dashboards, connecting BigQuery to visualization tools, or optimizing data pipeline performance. Handles BigQuery connections, custom SQL queries, scheduled queries, dashboard design, and performance optimization.

analytics-tracking

When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," or "tracking plan." For A/B test measurement, see ab-test-setup.

scientific-visualization

Meta-skill for publication-ready figures. Use when creating journal submission figures requiring multi-panel layouts, significance annotations, error bars, colorblind-safe palettes, and specific journal formatting (Nature, Science, Cell). Orchestrates matplotlib/seaborn/plotly with publication styles. For quick exploration use seaborn or plotly directly.