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Cinematic Business Card Prospecting

Name: Cinematic Business Card Prospecting
Author: wizelements

作者 Solomon Watkins · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ⚠ suspicious

总下载

当前安装

版本数

在 OpenClaw 中安装

/install cinematic-prospecting

功能描述

AI-powered business card prospecting with cinematic email outreach. Snap photos, get researched leads, send branded emails with visual mockups.

使用说明 (SKILL.md)

Cinematic Business Card Prospecting System

Transform business cards into high-converting prospects in 2 minutes.

What Makes It Different

Vision AI extracts card data from photos automatically
Deep brand research: website analysis, social media audit, competitive positioning
Cinematic email design with brand-matched colors and industry-specific templates
Visual POC mockups embedded in every email (not just text promises)
Draft-to-approval workflow (never send blind)
Expected response rates: 20-30% (vs 1% for cold email)

Perfect For

Freelancers at networking events
Agencies doing outbound sales
Anyone with a stack of business cards sitting in a drawer

What's Included

Multi-card batch processing (process 50+ cards from one photo)
5 industry-specific email templates (Financial, Food, Tech, Healthcare, General)
Brand color extraction & automatic email theming
Oracle-powered business intelligence research
POC mockup generators (email templates, social calendars, website concepts)
Full approval workflow with audit trail
Response tracking & follow-up scheduling

ROI Example

Conference with 50 cards = 10-15 qualified conversations
Close 2-3 clients at $2K each = $4K-6K revenue
Time invested: 2 hours vs 25+ hours manual research

Quick Start

# Process a single business card photo
node scripts/analyze-business-card.js --image card.jpg

# Batch process multiple cards
node scripts/batch-process.js --dir ./card-photos/

# Send outreach for approved prospect
node scripts/send-cinematic-email.js --prospect-id PROSPECT-123 --template tech

# Review response rates
node scripts/response-tracker.js --last-days 30

Requirements

Termux (Android) or Linux environment
Node.js v16+
OpenClaw agent system
SMTP credentials (Gmail app password recommended)
Vision AI API (OpenClaw built-in)

Support

Email: [email protected]

安全使用建议

Review this carefully before installing. Use only with contacts you are allowed to process and message, prefer a test mailbox or sandbox first, avoid bulk sending until you have unsubscribe/opt-out handling and rate limits, and do not provide primary email credentials unless you understand where they are stored and used.

能力评估

ℹ Purpose & Capability

Business-card extraction, lead research, response tracking, and branded outreach fit the stated lead-generation purpose, but they involve personal/business contact data and real outbound communication.

⚠ Instruction Scope

The artifacts described by the scanner do not clearly define consent boundaries, lawful-basis checks, dry-run requirements, recipient review, opt-out handling, rate limits, or when live sends occur.

✓ Install Mechanism

No evidence was supplied or found of obfuscated installation, hidden background setup, or deceptive install behavior; the main risk is runtime use of the workflow and SMTP credentials.

⚠ Credentials

External enrichment, contact processing, and SMTP-based outreach are proportionate to the stated purpose, but they are high-impact enough to require clearer data-minimization and compliance controls than the artifacts disclose.

⚠ Persistence & Privilege

Response tracking and lead workflows imply retention of contact and engagement data, while the artifacts do not adequately explain storage, deletion, third-party sharing, or protection of email credentials.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install cinematic-prospecting
安装完成后，直接呼叫该 Skill 的名称或使用 /cinematic-prospecting 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

Initial release - AI-powered business card scanning with cinematic email outreach

元数据

Slug cinematic-prospecting

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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