gapsi-agent
NewB2B sales intelligence agent — analyzes call transcripts, builds loss aversion gaps, and generates next-call scripts
Summary
gapsi-agent is a B2B sales intelligence skill that analyzes call transcripts to identify loss aversion gaps in prospect thinking, then generates next-call scripts to close those gaps.
- It helps developers build AI-driven sales tools that turn raw conversation data into actionable sales strategies.
Install & Usage
mkdir -p .claude/agentsAdd the configuration to .claude/agents/gapsi-agent.md
@gapsi-agentUse Cases
Usage Examples
/gapsi-agent analyze transcript.txt --output gaps.json
Analyze the call transcript at /data/calls/lost_deal_2025-03-10.txt and generate a next-call script.
/gapsi-agent batch --dir ./transcripts/ --format csv
Security Audits
Frequently Asked Questions
What is gapsi-agent?
gapsi-agent is a B2B sales intelligence skill that analyzes call transcripts to identify loss aversion gaps in prospect thinking, then generates next-call scripts to close those gaps. It helps developers build AI-driven sales tools that turn raw conversation data into actionable sales strategies.
How to install gapsi-agent?
To install gapsi-agent: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/gapsi-agent.md. Finally, @gapsi-agent in Claude Code.
What is gapsi-agent best for?
gapsi-agent is a agent categorized under General. It is designed for: agent. Created by termsheetinator.
What can I use gapsi-agent for?
gapsi-agent is useful for: Analyze a sales call transcript to detect moments where the prospect showed hesitation or loss aversion.; Generate a next-call script that addresses specific objections and reinforces value to reduce churn risk.; Build a pipeline that automatically processes new call transcripts and outputs gap analysis reports.; Integrate gapsi-agent into a CRM to provide real-time script suggestions during live sales calls.; Train the agent on historical transcripts to identify recurring loss patterns across a sales team.; Use gapsi-agent to compare two transcripts and highlight differences in loss aversion handling..