Reply Context Card

Gathers email and CRM context to classify sales reply intent.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/bostonrobbie/BDR --skill reply-context-card
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Reply Context Card
Source: https://github.com/bostonrobbie/BDR/tree/main/skills/reply-context-card
Command: npx skills add https://github.com/bostonrobbie/BDR --skill reply-context-card

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill eliminates the mental overhead of reconstructing context when a warm reply lands, providing all necessary information in one place before responding.

Core Features & Use Cases

  • Comprehensive Context Gathering: Pulls send history, original message details, reply thread, company enrichment, and prospect signals.
  • Intent Classification: Analyzes replies to categorize intent (Positive, Soft, Objection, Opt-Out, Ambiguous).
  • Use Case: When a prospect replies to a sales email, this Skill automatically gathers their entire communication history, company details, and classifies their reply's intent, presenting it in a scannable card for the sales rep.

Quick Start

Use the reply-context-card skill to generate a context card for the latest reply from '[email protected]'.

Frequently Asked Questions about Reply Context Card

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

FAQPage Schema
How do I classify sales email reply intent and gather prospect context automatically?

Sales email reply intent and prospect context are gathered by integrating email clients with CRM data, enriching company information via external APIs, and classifying reply intent into categories like Positive, Objection, or Opt-Out for a consolidated context card.

What is the best way to enrich prospect information before following up on a sales reply?

The best way to enrich prospect information involves integrating CRM data and external APIs with local files to compile send history, company details, and prospect signals into a single scannable context card for follow-up.

How does intent classification work for incoming sales email replies?

Intent classification works by analyzing incoming sales replies and categorizing them into Positive, Soft, Objection, Opt-Out, or Ambiguous intents, providing actionable insights for efficient and personalized follow-up.

Can I use local files and external APIs for prospect enrichment during reply analysis?

Yes, local files and external APIs are used for prospect enrichment during reply analysis, pulling comprehensive company details and prospect signals to facilitate efficient follow-up.

What context is included when analyzing a warm reply from a prospect?

Analyzing a warm reply includes pulling send history, original message details, the reply thread, company enrichment data, and prospect signals to eliminate mental overhead and provide all necessary information.

Does this approach require CRM data to classify reply intent accurately?

CRM data is integrated along with email client history and external APIs to accurately classify reply intent and present a consolidated context card for the sales rep.