Use when download and analyze Shopee product reviews in bulk for competitive
Scanned 9/8/2026
Install to Claude Code
npx -y skills add oyi77/1ai-skills --skill shopee-review-downloader --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: shopee-review-downloader
description: Use when download and analyze Shopee product reviews in bulk for competitive
research, sentiment analysis, and market intelligence. Use when working with shopee
review downloader.
domain: sales
author: oyi77
license: Apache-2.0
subdomain: sales
tags:
- business-development
- downloader
- revenue
- review
- sales
- shopee
version: 1.0.0
category: sales
---
# Shopee Review Downloader
## When to Use
**Trigger phrases:**
- "shopee review downloader"
- "Help me with shopee review downloader"
**Use cases:**
- When the task matches this skill's domain expertise
**When NOT to use:**
- For tasks outside this skill's scope
Download product review videos from Shopee pages with automated browser navigation and metadata extraction.
## When NOT to Use
- When the prospect is not a good fit for your product
- For markets where you have no distribution channel
- When the deal size does not justify the effort
## Overview
Shopee Review Downloader drives revenue generation with systematic processes.
## Pipeline Stages
1. **Prospect** — Identify and qualify potential customers
2. **Connect** — Initial outreach and conversation
3. **Discover** — Understand needs and pain points
4. **Propose** — Present tailored solution
5. **Close** — Negotiate and finalize agreement
6. **Onboard** — Hand off to success team
## Key Metrics
- Pipeline velocity (deals × value × win rate ÷ cycle time)
- Conversion rate per stage
- Average deal size
- Customer lifetime value (CLV)
- Win/loss ratio
## Best Practices
- Qualify early — disqualify fast
- Listen more than you talk (70/30 rule)
- Follow up consistently (5+ touches)
- Track everything in CRM
- Ask for referrals after every closed deal
## Workflow
```python
# Example: Lead scoring
def score_lead(lead: dict) -> int:
score = 0
if lead.get("company_size", 0) > 100: score += 20
if lead.get("budget", 0) > 10000: score += 25
if lead.get("timeline") == "immediate": score += 30
if lead.get("engagement_level", 0) > 3: score += 25
return min(score, 100)
```
1. **Understand requirements** — Clarify objectives and scope
2. **Set up tools** — Configure required tools and access
3. **Execute** — Perform the core operations
4. **Validate** — Verify results meet quality standards
5. **Document** — Record findings and decisions
## Anti-Rationalization Table
| Rationalization | Reality |
|---|---|
| "Cold outreach does not work" | It works when personalized and targeted. Generic spam does not. |
| "I will follow up later" | 80% of sales require 5+ follow-ups. Follow up consistently. |
| "Price is the only factor" | Value, trust, and timing matter more than price. Sell outcomes. |
## Process
1. **Prepare** — Gather requirements, verify prerequisites, set up environment
1. **Execute** — Run shopee review downloader workflow with configured parameters
1. **Verify** — Validate output meets requirements, document results
## Verification
- [ ] All steps executed successfully
- [ ] Results validated against acceptance criteria
- [ ] Error handling tested with edge cases
- [ ] Documentation updated with findingsIs this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
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