sales-engineer

Analyze RFP documents and generate competitive feature matrices.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/Tonybleything76/more-claude-skills --skill sales-engineer-tonybleything76
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sales-engineer
Source: https://github.com/Tonybleything76/more-claude-skills/tree/main/business-growth/sales-engineer
Command: npx skills add https://github.com/Tonybleything76/more-claude-skills --skill sales-engineer-tonybleything76

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill empowers pre-sales engineers to efficiently analyze RFPs, build competitive matrices, and plan successful Proof-of-Concepts, directly impacting win rates and sales cycles.

Core Features & Use Cases

  • RFP/RFI Analysis: Identifies coverage gaps and provides bid/no-bid recommendations.
  • Competitive Intelligence: Generates feature matrices to highlight differentiators and vulnerabilities.
  • POC Planning: Creates structured plans with timelines, resources, and success criteria.
  • Use Case: A sales engineer receives a complex RFP. They use this Skill to quickly score requirement coverage, identify critical gaps, and generate a data-driven recommendation on whether to bid, along with key talking points for the sales team.

Quick Start

Use the sales engineer skill to analyze the attached RFP document 'enterprise-analytics-rfp.json'.

Frequently Asked Questions about sales-engineer

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

FAQPage Schema
How do I analyze an RFP document to identify coverage gaps and bid requirements?▼

To analyze an RFP document for coverage gaps, this Skill scores requirement coverage and identifies critical bid gaps using Python scripts. It processes input files like enterprise-analytics-rfp.json to provide data-driven bid or no-bid recommendations.

What is the best way to generate a competitive feature matrix for pre-sales positioning?▼

The best way to generate a competitive feature matrix for pre-sales positioning is to use this Skill. It automates competitive intelligence tasks by highlighting differentiators and vulnerabilities, allowing sales engineers to build accurate competitive positioning data.

How do I plan a proof-of-concept timeline and define success criteria for enterprise sales?▼

To plan a proof-of-concept timeline and define POC success criteria, this Skill creates structured POC plans with timelines, resources, and success criteria. It automates POC planning to ensure structured pre-sales validation for enterprise sales deals.

Do I need Python and pandas installed to run pre-sales RFP analysis scripts?▼

Yes, you need Python, pandas, and openpyxl installed to run these pre-sales RFP analysis scripts. These dependencies are required to process the RFP documents and generate the automated feature matrices and coverage gap reports.

Can I use this Skill to get bid or no-bid recommendations for complex RFPs?▼

Yes, you can use this Skill to get bid or no-bid recommendations for complex RFPs. It scores requirement coverage, identifies critical gaps, and generates a data-driven recommendation along with key talking points for the sales team.