TacoSkill LABTacoSkill LAB

The full-lifecycle AI skills platform.

Product

  • SkillHub
  • Playground
  • Skill Create
  • SkillKit

Resources

  • Privacy
  • Terms
  • About

Platforms

  • Claude Code
  • Cursor
  • Codex CLI
  • Gemini CLI
  • OpenCode

© 2026 TacoSkill LAB. All rights reserved.

TacoSkill LAB
TacoSkill LAB
HomeSkillHubCreatePlaygroundSkillKit
  1. Home
  2. /
  3. SkillHub
  4. /
  5. conversion-diagnostic-kit
Improve

conversion-diagnostic-kit

4.3

by majiayu000

162Favorites
127Upvotes
0Downvotes

Structured approach for investigating funnel issues across e-commerce

conversion-funnel

4.3

Rating

0

Installs

Data & Analytics

Category

Quick Review

This skill provides a solid conceptual framework for e-commerce conversion diagnostics with a five-step methodology (Signal Stack, Segmentation Grid, Issue Taxonomy, Prioritization Model, Action Tracker). The structure is clear and logical for a framework-oriented skill. However, the description is somewhat vague ('structured approach for investigating funnel issues') and doesn't fully convey what a CLI agent would receive or how to invoke it. Task knowledge is moderate—it outlines what to do but lacks concrete implementation details, scripts, or data templates beyond mentions of workbooks and templates (which may exist as referenced files). Novelty is limited as the framework represents best-practice checklists that an experienced agent could generate, though bundling them saves some effort. The skill would benefit from either more actionable artifacts or clearer invocation patterns for autonomous agents.

LLM Signals

Description coverage4
Task knowledge6
Structure6
Novelty4

GitHub Signals

49
7
1
1
Last commit 0 days ago

Publisher

majiayu000

majiayu000

Skill Author

Related Skills

pandas-prospark-engineerxlsx

Loading SKILL.md…

Try onlineView on GitHub

Publisher

majiayu000 avatar
majiayu000

Skill Author

Related Skills

pandas-pro

Jeffallan

6.4

spark-engineer

Jeffallan

6.4

xlsx

mrgoonie

7.2

faiss

zechenzhangAGI

7.0
Try online