Sales Engineer

If you're doing pre-sales engineering and tired of manually scoring RFPs or building feature comparison spreadsheets, this automates the grunt work. It includes Python scripts that parse RFP requirements and calculate coverage scores with bid/no-bid recommendations, generate competitive matrices with weighted scoring, and create structured POC plans with timelines and evaluation scorecards. The 5-phase workflow covers discovery through close with templates for demo scripts and technical proposals. The RFP analyzer is genuinely useful for quickly identifying must-have gaps before you waste time on a deal you can't win. Built for SaaS sales engineers who need to move faster without sacrificing rigor in technical evaluation.

skills.sh installs: 166
GitHub stars: 1.1K
last updated: Aug 21, 2026

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Install

$ npx -y skills add borghei/claude-skills --skill sales-engineer --agent claude-code

Installs into .claude/skills of the current project.

Files

Sales Engineer Skill

A production-ready skill package for pre-sales engineering that bridges technical expertise and sales execution. Provides automated analysis for RFP/RFI responses, competitive positioning, and proof-of-concept planning.

Overview

Role: Sales Engineer / Solutions Architect Domain: Pre-Sales Engineering, Solution Design, Technical Demos, Proof of Concepts Business Type: SaaS / Pre-Sales Engineering

What This Skill Does

RFP/RFI Response Analysis - Score requirement coverage, identify gaps, generate bid/no-bid recommendations
Competitive Technical Positioning - Build feature comparison matrices, identify differentiators and vulnerabilities
POC Planning - Generate timelines, resource plans, success criteria, and evaluation scorecards
Demo Preparation - Structure demo scripts with talking points and objection handling
Technical Proposal Creation - Framework for solution architecture and implementation planning
Win/Loss Analysis - Data-driven competitive assessment for deal strategy