Cross-Border E-Commerce AI Skills

58 AI-powered skill templates for cross-border e-commerce — from brand strategy to Amazon operations to DTC growth to finance & capital ops to affiliate-program building to EU channel entry to overseas-buyer prospecting + earned-media press discovery + Reddit pre-purchase VOC.

Compatible with Claude Code (~/.claude/commands/), Google Antigravity (SKILL.md), and any AI IDE with skill/prompt support.

中文说明 | English

English

What is this?

A collection of 58 AI agent skills (structured prompt templates) that automate the entire cross-border e-commerce workflow — brand strategy, market research, product selection, listing optimization, advertising, DTC site operations, finance & capital management, affiliate-program building, EU channel & market entry, social media, influencer marketing, overseas-buyer outbound prospecting, earned-media press discovery, and Reddit pre-purchase VOC.

Two formats:

• Single-file skills (53) — one .md file each, drop into your AI IDE's skill directory.
• Multi-file skill packages (5, under brand-strategy/, outbound-prospecting/, and voc-tools/) — SKILL.md + references/ + templates/ (incl. Python scripts and CSV trackers). Point your AI IDE at the package directory.

Plus 7 standalone tools under tools/ (Python utilities used by skills, also runnable independently): backlink-kol-extractor, trustpilot, linktree-expander, contact-extractor, api-pacer, fetchlib, browser-fetch.

Skill Map (58 skills across 13 chains)

                        ┌─────────────────────────────────────┐
                        │     Brand Strategy Chain (10)        │
                        │                                     │
  Market Scan ──► Track Hypothesis ──► Deep Validation ──► Strategy Plan
       │                                                       │
       │         Annual Plan ◄── Budget Ops                    │
       │                                                       ▼
       │                                    IMC Framework ──► Knowledge Base
       │                                         │
       │              A/B Compare    Chart Visualize   GTM Launch
       │                                         │
       ▼                                         ▼
  ┌──────────────────┐   ┌──────────────────┐   ┌──────────────────┐
  │ Amazon Chain (14) │   │ DTC Site (5)     │   │ Social & KOL (5) │
  │                  │   │                  │   │                  │
  │ Selection        │   │ SEO Diagnostic   │   │ TikTok Growth    │
  │ Shortlist        │   │ SEO Playbook     │   │ YouTube Ops      │
  │ Market Research  │   │ SEM Ads          │   │ Content Calendar │
  │ IP Risk          │   │ Conversion UX    │   │ Influencer Mktg  │
  │ Supplier         │   └──────────────────┘   │ User Lifecycle   │
  │ Keywords         │                          └──────────────────┘
  │ Listing Copy     │   ┌──────────────────┐   ┌──────────────────┐
  │ Main Image       │   │ Offline (1)      │   │ VOC Tools (3)    │
  │ A+ Content       │   │                  │   │                  │
  │ Compliance       │   │ US Retail        │   │ Reddit VOC (NEW) │
  │ Pre-Launch       │   └──────────────────┘   │ Trustpilot Quick │
  │ Ad Architecture  │                          │ Trustpilot Deep  │
  │ Weekly Ad Review │                          └──────────────────┘
  │ Ad Diagnosis     │
  └──────────────────┘

  ┌──────────────────────────────────────────────────────────────┐
  │ Finance & Capital (8) — NEW                                    │
  │ Unit-Economics · FX/Payout · Tax-Nexus · Cashflow             │
  │ Pricing · Reconciliation · Entity-Structure · Capital-Stack   │
  └──────────────────────────────────────────────────────────────┘

  ┌──────────────────────────────────────────────────────────────┐
  │ Affiliate & Partnership (2) — NEW                              │
  │ Readiness-Audit (affiliate's-POV mirror of CRO) ·             │
  │ Program-Ops (AI: DB → score → outreach → activate → report)   │
  └──────────────────────────────────────────────────────────────┘

  ┌──────────────────────────────────────────────────────────────┐
  │ Channel & Market Entry (2) — NEW                               │
  │ EU-Channel-Entry (SSPV · RCS · growth flywheel) ·            │
  │ Price-System & Channel-Conflict Guard                         │
  └──────────────────────────────────────────────────────────────┘

Brand Strategy Chain (11 skills)

4-Round Analysis Pipeline + Planning + Execution + Tools

Amazon Operations Chain (14 skills) — UPGRADED v3.14 (2026 algorithm & policy refresh)

DTC Site & Traffic (5 skills)

Finance & Capital (8 skills) — NEW v3.8

Operator-facing finance/CFO chain for China→US/EU DTC + Amazon sellers — the actuals / profitability / tax / cash / financing side that the planning-oriented brand-budget-ops doesn't cover. Every skill is grounded in real tools + 2026 regulations, carries an explicit YMYL disclaimer (planning aid, NOT professional tax/legal/accounting advice — verify with a licensed CPA), and tags every rate/threshold/date as point-in-time. Built and cross-validated from a dual-source research pass (multi-agent web research + an independent deep-research report).

Social Media & Content (3 skills)

VOC & Review Analysis (3 skills) — NEW v3.5 adds pre-purchase VOC

VOC tools split by decision stage. Reddit / Quora capture pre-purchase intent (still-deciding users), while Trustpilot / Amazon Review capture post-purchase experience (already-bought users). Use them together for full decision-funnel coverage.

KOL & User Operations (2 skills)

GTM & Offline (2 skills)

Affiliate & Partnership (2 skills) — NEW v3.13

Building an affiliate/partnership program from the affiliate's economics — audit first (is your product even worth promoting?), then run the AI-automated recruit → score → outreach → activate loop. Complements influencer-marketing (content/relationship lens) without overlap: this is the performance/ROI lens.

Channel & Market Entry (2 skills) — NEW v3.13

Outbound Prospecting (3 skills) — v3.4 adds press discovery

End-to-end pipelines for finding overseas B2B decision-makers, KOLs, and journalists, then converting them into ready-to-message lead sheets. Each skill is a multi-file package with SKILL.md + scripts + references + templates.

Sister skills — same 4-stage shape (Search → Enrich → Outreach → Compliance), different channels. Designed to run in parallel for the same lead set.

Tools (standalone utilities)

Standalone Python utilities under tools/. Each is a multi-file package with own SKILL.md + scripts/ + references/ + templates/. Used by skills above conditionally; also runnable independently. The three fetch tools — api-pacer, fetchlib, browser-fetch — compose into one compliant scraping pipeline (pace → waterfall → browser L3); the rest are data/enrichment utilities.

See tools/README.md for standalone usage.

Key Features

• 58 Skills, 13 Chains — Complete coverage from brand strategy to daily operations to finance & capital to affiliate-program building to EU channel entry to overseas-buyer outbound to earned-media press discovery to pre-purchase Reddit VOC
• Affiliate & Channel Systems (2026 decks) — a 2-skill affiliate chain built from the affiliate's own economics (affiliate-readiness-audit mirrors CRO — "why affiliates won't promote you"; affiliate-program-ops runs the AI recruit→score→outreach→activate loop), plus a US-entity Europe channel-entry strategy (SSPV / RCS / growth flywheel) and a multi-channel price-conflict guard. Framework skeletons only, each crediting its source deck in a methodology index
• Finance & YMYL Discipline — the 8-skill finance chain carries explicit "planning aid, not professional tax/legal/accounting advice — verify with a CPA" disclaimers, point-in-time-stamped 2026 regulations, and ⚠️-flagged estimates (no fabricated numbers)
• Data Verification Layer — Every skill includes mandatory verification; estimates are explicitly flagged with ⚠️
• Chart Visualization — 21 skills auto-generate charts (radar, bar, waterfall, scatter, funnel, etc.) via AntV API
• Semrush Integration — Brand strategy skills auto-scan local Semrush xlsx/PDF data as high-confidence source
• VOC Matrix — Mention frequency × satisfaction matrix to identify unmet needs
• GTM Flywheel — Market → Product → Marketing → Operations four-wheel evaluation
• AI Search Ready — Optimized for Amazon Rufus, COSMO knowledge graph, and GEO
• Multi-Agent Concurrency (Claude Code-native) — skills like dsite-conversion-ux orchestrate parallel recon + analysis subagents via the Workflow tool with StructuredOutput schemas, run as background tasks, and use browser-class MCP (Claude in Chrome / Preview) for live-site inspection — fan out the work, keep the conclusions
• Compliant Scraping Stack (2026-benchmarked) — a free-first, US-compliant fetch pipeline the skills share: api-pacer (pacing + backoff) → fetchlib (waterfall: curl_cffi → Jina Reader → browser → paid) → browser-fetch (browser-render L3). Honors robots + rate limits; no barrier-defeat / IP-rotation / CAPTCHA-solving / PII. Benchmarks, tier mechanics, and the full compliance red line live in each tool's SKILL.md
• Linted, not just written — every skill carries name + description frontmatter (the triggering surface), and a Skill lint CI gate blocks four regressions this repo actually hit: missing/mismatched frontmatter, the same skill living at two paths (copies drift apart silently), dead relative links, and any advice that would break the scraping red line. Run it locally with python3 scripts/lint_skills.py
• Multi-Platform — Works on Claude Code, Google Antigravity, OpenClaw, and any AI IDE

Installation

Claude Code (recommended):

git clone https://github.com/noique/cross-border-ecommerce-skills.git

# Single-file skills → ~/.claude/commands/
cp cross-border-ecommerce-skills/brand-strategy/*.md ~/.claude/commands/
cp cross-border-ecommerce-skills/amazon/*.md ~/.claude/commands/
cp cross-border-ecommerce-skills/finance/*.md ~/.claude/commands/

# Multi-file skill packages → ~/.claude/skills/ (one directory per skill)
cp -r cross-border-ecommerce-skills/outbound-prospecting/google-whatsapp-prospecting ~/.claude/skills/
cp -r cross-border-ecommerce-skills/outbound-prospecting/linkedin-prospecting ~/.claude/skills/
cp -r cross-border-ecommerce-skills/outbound-prospecting/media-press-discovery ~/.claude/skills/
cp -r cross-border-ecommerce-skills/voc-tools/reddit-voc ~/.claude/skills/
cp -r cross-border-ecommerce-skills/brand-strategy/serp-content-teardown ~/.claude/skills/
cp -r cross-border-ecommerce-skills/tools/backlink-kol-extractor ~/.claude/skills/

Google Antigravity / OpenClaw / Any AI IDE: Copy .md files (single-file skills) or whole directories (multi-file packages) into your skill directory.

Model Requirements

Judge by capability, not by model name. What these skills actually need is three things — the model list below expires every few months, this bar doesn't:

🔴 The second and third are the dividing line. Following a structure is easy — plenty of mid-size models emit a report that looks complete. The hard part is leaving blank what should be blank. Test a candidate model by feeding it an input with a key figure missing and seeing whether it flags the gap or invents a number.

🔴 "The skill doesn't run" — check the runtime before the skill

Maintainer's field observation (not a controlled benchmark): these skills behave best on stock Claude Code running against Anthropic's own API/subscription. Reports of a skill "not working" have mostly traced back to the runtime, not the skill file — Claude Code pointed at a third-party relay or reseller subscription, or a different harness (Codex-style and other agent CLIs) loading the file.

Why the runtime matters more here than for a plain prompt:

Self-diagnose in this order before filing an issue:

1. What's actually serving you? Confirm the runtime and that requests hit the model you think they do — not a relay in between.
2. Did the skill load at all? Ask the agent to restate the skill's required output sections. If it can't, the file never activated — that's a loading problem, not a skill problem.
3. Run the blank test. Feed an input with a key figure missing. Correct behavior is flagging the gap (❌未获取 / "insufficient data"). If it invents a number, the honesty scaffolding isn't running, whatever the model claims to be.

If all three pass and it still misbehaves, that's a real skill bug — please open an issue with the transcript.

This is one maintainer's testing across the setups they had access to, not a benchmark of every provider. Third-party relays vary widely; some may be fine. The point is that the runtime is the first thing to rule out, because it accounts for most of the "doesn't work" reports.

Reference models (verified 2026-08 — will go stale)

⚠️ This table goes stale by design — the previous version sat at April 2026 and was already two Claude generations behind. Don't copy the names; use the capability bar above to test whatever you have. Current lineups: Anthropic · OpenAI · Google. The Claude row comes from Anthropic's own docs; the rest is public reporting collated 2026-08 — vendors ship on different cadences, so treat each vendor's docs as authoritative.

Key requirements: long context (8K+ input), strong instruction following, Chinese-English bilingual, tool use / web browsing.

中文说明

这是什么？

一套 58 个跨境电商 AI 技能模板，覆盖品牌战略→选品→调研→文案→广告→独立站→财务资金→联盟营销→欧洲渠道进入→社媒→红人→线下渠道→海外开发→媒体公关→购买前 Reddit VOC 全流程自动化。

两种格式：

• 单文件技能（53 个） — 一个 .md 文件，放入 AI IDE 技能目录即可使用
• **多文件技能包（5 个，分布在 brand-strategy/、outbound-prospecting/ 和