product-differentiation-tiktok SKILL.md skillA

product-differentiation-tiktok from nexscope-ai/ecommerce-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nexscope-ai/ecommerce-skills/product-differentiation-tiktok@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nexscope-ai/ecommerce-skills
Path
product-differentiation/product-differentiation-tiktok/SKILL.md
Versions recorded
2
Latest version
v1.0.0, committed Apr 9, 2026
First version recorded
Mar 20, 2026
Size
4,405 bytes
Repository stars
1,361
License
MIT

TikTok Shop product differentiation strategy tool. Analyze viral product trends, competitor affiliate strategies, content performance, and identify differentiation opportunities. Includes TikTok-specific metrics like engagement rate, viral potential, and creator collaboration insights. No API key required.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Product Differentiation — TikTok Shop 🎯

Develop winning product differentiation strategies for TikTok Shop.

## Installation

```bash
npx skills add nexscope-ai/eCommerce-Skills --skill product-differentiation-tiktok -g
```

## Features

- **Competitor Matrix** — Side-by-side product comparison
- **Viral Analysis** — Trending product patterns
- **Pain Point Mining** — Extract issues from reviews/comments
- **USP Extraction** — Identify unique selling points
- **Creator Strategy** — Affiliate collaboration insights
- **Action Plan** — Prioritized improvement roadmap

## TikTok-Specific Analysis

| Dimension | Method | Output |
|-----------|--------|--------|
| Viral Potential | Trend analysis | Virality score |
| Content Style | Video analysis | Hook patterns |
| Creator Fit | Niche matching | Ideal creators |
| Price Sweet Spot | Impulse buy analysis | Optimal pricing |
| Comment Sentiment | Comment NLP | Pain points |

## Progressive Analysis Levels

| Level | Required Data | Unlocked Analysis |
|-------|---------------|-------------------|
| **L1 Basic** | Product info | Basic comparison |
| **L2 Viral** | + Competitor content | Viral pattern analysis |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nexscope-ai/ecommerce-skills/product-differentiation-tiktok@sha256:57be618bdfd07c17

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_3kwn26kg24vn5vyg.svg)](https://markdownregistry.com/a/art_3kwn26kg24vn5vyg)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 20, 2026 and Apr 9, 2026, about one every 20 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-04-09 0419aee 4,405 BA view · diff
v1.0.02026-03-20 eede46a 4,391 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4405 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

nexscope-ai/ecommerce-skills · 1,361 stars · license MIT · pushed 2026-08-26 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_3kwn26kg24vn5vyg
GET https://markdownregistry.com/api/v1/resolve?ref=nexscope-ai/ecommerce-skills/product-differentiation-tiktok
GET https://markdownregistry.com/api/v1/blob/57be618bdfd07c17f8fd19e8a05ee4ba9b6bf291b6c0dda4a750f28b5ade1797

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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