tiktok-shop-content-strategy

tiktok-shop-content-strategy is a skill for Claude Code, Codex from nexscope-ai/eCommerce-Skills. It costs 56 tokens per session (2,665 once invoked), scanned A, original, MIT.

A content-planning guide for creating TikTok Shop videos, with ideas for formats, opening hooks, product demonstrations, hashtags, and publishing calendars.

In plain words
What is it for?
Use it to develop content themes, plan a calendar, create video openings, showcase products, adapt user-created content, and improve content that gets views but few sales.
Why use it?
It helps sellers turn irregular content into a planned stream of videos aimed at both attention and sales.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 914repo +51 17d ago A scan Socket: passSnyk: passSkillSpector: warn 56 tokens original MIT

Good fit Use it to develop content themes, plan a calendar, create video openings, showcase products, adapt user-created content, and improve content that gets views but few sales.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-content-strategy
Clone the repo
git clone --depth 1 https://github.com/nexscope-ai/eCommerce-Skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tiktok-shop-content-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy/github.svg)](https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy)
Your own site
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tiktok-shop-content-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy"><img src="https://agentmods.dev/badge/skills/nexscope-ai/ecommerce-skills/tiktok-shop-content-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,665 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 14 Apr 2026
  • Snyk pass 14 Apr 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 14
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00056 $0.02665
Opus 5 $0.00028 $0.01333
Sonnet 5 $0.00011 $0.00533
Haiku 4.5 $0.00006 $0.00266

Measured 9d ago against content hash adfbfbb858e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tiktok-shop-content-strategy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

tiktok-shop-content-strategy/SKILL.md · 321 lines

How it starts

The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TikTok Shop Content Strategy 🎬

Create viral content that converts. Strategic content planning from trending formats to sales optimization.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill tiktok-shop-content-strategy -g

Usage Examples

Content strategy development:

"Create a content strategy for my skincare brand on TikTok Shop with viral potential"

Content calendar planning:

"Plan a 30-day content calendar for my TikTok Shop with trending formats and product showcases"

Performance optimization:

"My TikTok content gets views but no sales - help me optimize for conversions"

Core Capabilities

1. Content Strategy & Planning

  • Viral content format identification and adaptation
  • Brand-specific content pillars and messaging frameworks
  • Content calendar development and scheduling optimization
  • Trend analysis and opportunity identification

2. Creative Development & Production

  • Hook development and attention-grabbing techniques
  • Product showcase and demonstration strategies
  • User-generated content (UGC) integration and amplification
  • Cross-platform content repurposing and adaptation

3. Performance Optimization

  • Content performance analysis and iteration strategies
  • Algorithm optimization for maximum reach and engagement
  • Conversion-focused content design and call-to-action integration
  • A/B testing frameworks for continuous improvement

How It Works

Step 1: Content Strategy Foundation

Strategic planning and content architecture development

Develop comprehensive content strategy:

  • Analyze brand positioning, target audience, and competitive landscape
  • Identify trending content formats and viral opportunities within your niche
  • Establish content pillars, messaging frameworks, and brand voice guidelines
  • Create content calendar structure with optimal posting frequencies and timing

Step 2: Content Creation & Production

Creative development and content asset creation

Read the full file on GitHub · 321 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 321 lines · 56 tokens per session scan A adfbfbb858e2

Subscribe to this mod's changes

tiktok-shop-content-strategy is a skill published in the GitHub repository nexscope-ai/eCommerce-Skills (914 stars, last pushed 17d ago), licensed MIT. It adds 56 tokens to every session and 2,665 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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