odoo-discovery-summary

Structure raw discovery notes into customer profiles with Odoo fit assessments.

7|4|Updated May 19, 2026
One-click install
npx skills add https://github.com/Viindoo/odoo-mcp-client --skill odoo-discovery-summary
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: odoo-discovery-summary
Source: https://github.com/Viindoo/odoo-mcp-client/tree/main/plugins/odoo-ai-agents/skills/odoo-discovery-summary
Command: npx skills add https://github.com/Viindoo/odoo-mcp-client --skill odoo-discovery-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires odoo-semantic-mcp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of transforming raw customer discovery notes into a structured profile, streamlining proposal drafting and customer analysis.

Core Features & Use Cases

  • Note Synthesis: Transform free-form discovery notes into a structured customer profile.
  • Profile Generation: Generate profiles with industry, current ERP, pain points, and more.
  • Fit Assessment: Assess the fit of customer needs with Odoo solutions, providing a score and detailed analysis.

Quick Start

Analyze customer discovery notes for "XYZ Inc." by using the command "synthesize discovery notes for XYZ Inc."

Frequently Asked Questions about odoo-discovery-summary

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

FAQPage Schema
How do I structure raw customer discovery notes into a sales profile?

Structuring raw customer discovery notes into a sales profile is done by extracting free-form text to generate comprehensive profiles with industry, current ERP, and pain points. The synthesized profile streamlines proposal drafting and customer analysis for pre-sales consultations.

Can I assess Odoo solution fit using customer discovery notes?

Assessing Odoo solution fit using customer discovery notes is possible by analyzing the extracted profile to generate a fit score. The assessment evaluates customer needs against Odoo solutions, providing a detailed analysis for sales enablement and pre-sales consultations.

Does this discovery analysis tool require Odoo Semantic MCP to function?

This discovery analysis tool does not strictly require Odoo Semantic MCP to function. It operates independently to synthesize notes, but can run in conjunction with Odoo Semantic MCP for tool verification during the analysis process.

What is the best way to categorize industry and pain points from discovery calls?

The best way to categorize industry and pain points from discovery calls is by synthesizing raw notes into a structured customer profile. This process automatically categorizes the industry, identifies current ERP systems, and extracts specific pain points for analysis.

How do I synthesize discovery notes for a specific client account?

Synthesizing discovery notes for a specific client account is initiated by processing the raw text through the extraction mechanism. It transforms the unstructured input into a structured customer profile, enabling accurate solution fit assessments and industry categorization.

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