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SKILL verified CC0-1.0 Self-run

Ecom Social

skill-kangise-ecommerce-ai-skills-ecom-social · by kangise

Create and optimize e-commerce social media content, ads, and community management across platforms (Instagram, YouTube, TikTok, Pinterest, Reddit, WhatsApp, 小红书). Use for content creation, posting strategy, hashtags, captions, influencer collaboration, or cross-channel campaigns.

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Install

$ agentstack add skill-kangise-ecommerce-ai-skills-ecom-social

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-kangise-ecommerce-ai-skills-ecom-social)

Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Social Media Skill

When to Use

Create and optimize e-commerce social media content and advertising across platforms. Use for content creation (Reels, Shorts, Stories, Carousel, Pin, 种草笔记), posting strategy, hashtag research, ad copy, influencer collaboration, community management, or cross-channel repurposing.

Method

Step 1: Read Platform Constraints

Read references/constraints.md for platform-level rules. Social media has no numeric constraints in the ontology yet — platform-specific best practices live in each chapter's prompt templates in the playbook.

Step 2: Review Boundaries

Read references/boundaries.md to know when this skill should NOT be used (e.g. no visual story, no local-language capacity, chasing this-month conversion, mechanical reposting).

Step 3: Pick the Prompt

Pick the appropriate prompt from references/playbook.md for your platform and scenario:

  • e1 — Instagram/Facebook: Reels, Stories, Carousel, Shopping, Meta Ads, hashtags, influencer collaboration
  • e2 — YouTube: SEO keywords, titles, scripts, Shorts, thumbnails, affiliate descriptions
  • e3 — 小红书: 种草笔记, SEO, 达人合作, 算法优化, 数据分析
  • e4 — Pinterest: SEO, Pins, Idea Pins, Shopping, seasonal calendar, Shopping Ads
  • e5 — WhatsApp: 客服 AI, chatbot flows, 复购营销, sales assistant
  • e6 — Reddit: community participation, Ads, reputation monitoring, GEO
  • e7 — Cross-channel: content adaptation, weekly repurposing, cross-platform analytics, attribution

Step 4: Execute and Verify

Execute the prompt with your data. Use the // self-check block in each prompt to verify output quality before delivering results.

References

  • [Constraints](references/constraints.md) — Platform rules and limits
  • [Playbook](references/playbook.md) — Prompt collection (54 prompts, e1–e7)
  • [Boundaries](references/boundaries.md) — When not to use

Templates

Copy-ready prompt templates (in assets/templates/):

  • [Instagram Reels Scripts](assets/templates/template-1-instagram-reels-scripts.md)
  • [YouTube Video Description](assets/templates/template-2-youtube-video-description.md)
  • [小红书种草笔记](assets/templates/template-3-xiaohongshu-seeding-note.md)
  • [Cross-Channel Content Adaptation](assets/templates/template-4-cross-channel-adaptation.md)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.