enrich-phase-7

Analyze brand patterns, research competitors, structure JSON, and save to SQLite.

Updated Mar 31, 2026

Search Tags:#brand analysis #data structuring #competitor research #lead enrichment #site selling

Ready to run

npx skills add https://github.com/felipemlanna1/vendedor-de-sites-v2 --skill enrich-phase-7

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: enrich-phase-7
Source: https://github.com/felipemlanna1/vendedor-de-sites-v2/tree/main/.claude/skills/enrich-phase-7
Command: npx skills add https://github.com/felipemlanna1/vendedor-de-sites-v2 --skill enrich-phase-7

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image, sqlite3, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of lead enrichment for site selling, focusing on phase 7, which includes brand analysis, competitor research, JSON structuring, and data base saving.

Core Features & Use Cases

Brand Analysis: Analyze brand patterns, including colors, communication style, target audience, visual style, and slogans.
Competitor Research: Conduct a quick search for competitors and list their names and URLs.
JSON Structuring: Combine all data points from previous phases into a comprehensive JSON structure.
Data Base Saving: Save the enriched data into a database for further use.
Use Case: This Skill can be used to analyze a lead's data and generate a comprehensive briefing, including a summary, identity, professional registration, web presence, images, sales channels, brand characteristics, and competitor analysis.

Quick Start

Run the enrich-phase-7 skill to complete phase 7 of the lead enrichment process for a site selling project.

Frequently Asked Questions about enrich-phase-7

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate lead enrichment and competitor research for site selling?▼

Lead enrichment for site selling is automated by analyzing brand patterns, researching competitors, structuring JSON data, and saving results to an SQLite database. This generates a comprehensive briefing including identity, sales channels, and competitor analysis.

What brand analysis data points are needed for site selling lead enrichment?▼

Brand analysis for lead enrichment requires data points covering colors, communication style, target audience, visual style, and slogans. These elements are combined to profile the lead's identity and web presence.

Does lead enrichment with SQLite require Python data processing scripts?▼

Yes, lead enrichment with SQLite requires Python scripts for data processing and database storage. The scripts handle combining previous data phases into a comprehensive JSON structure before saving it to the database.

Can I combine previous data phases into a JSON structure for database storage?▼

You can combine all data points from previous phases into a comprehensive JSON structure for database storage. The enriched data is then saved into an SQLite database using Python scripts for further administrative use.

What is the best way to structure competitor research data for a lead briefing?▼

The best way to structure competitor research data for a lead briefing is to conduct a quick search for competitors and list their names and URLs. This data is then integrated into a comprehensive JSON structure alongside brand characteristics.