What kind of output does the skill provide?

It generates a structured markdown report including identified patterns, timestamped results, proven response templates, and actionable next steps.

Does it require a specific CRM integration?

No, it works with any deal notes or sales data you provide to Claude, making it compatible with Salesforce, HubSpot, or custom tracking sheets.

How does this skill identify sales patterns?

The skill analyzes textual data from deal notes and CRM exports to identify recurring phrases, themes, and objections that lead to lost opportunities.

Can I use this for training new sales reps?

Yes, it is specifically designed to create response playbooks and frameworks that can be used as training materials for onboarding and sales coaching.

Objection Pattern Detector

Name: Objection Pattern Detector
Author: Activer007

byActiver007

Marketing Automation

Analyzes sales deal notes to identify recurring friction points and creates proven response playbooks from successful conversions.

About

The Objection Pattern Detector is a specialized Claude Code skill designed for sales enablement and revenue operations. It mines historical deal data—both lost and won—to identify recurring objection patterns that stall the sales cycle. By synthesizing successful responses from closed-won deals, the skill generates actionable, copy-paste ready playbooks and rebuttal frameworks. This tool is essential for sales leaders looking to institutionalize tribal knowledge and improve win rates through data-driven communication strategies.

Key Features

Copy-paste ready templates for immediate sales team deployment
Synthesis of successful rebuttal frameworks from winning deals
0 GitHub stars
Standardized sales enablement output in markdown format
Automated pattern recognition across lost deal notes
Actionable recommendations for process and messaging improvements

Use Cases

Onboarding new sales hires with a library of proven objection responses
Developing competitive take-out playbooks based on historical win patterns
Performing quarterly post-mortem analysis on lost opportunities to refine product messaging

About

Key Features

Copy-paste ready templates for immediate sales team deployment
Synthesis of successful rebuttal frameworks from winning deals
0 GitHub stars
Standardized sales enablement output in markdown format
Automated pattern recognition across lost deal notes
Actionable recommendations for process and messaging improvements

Use Cases

Onboarding new sales hires with a library of proven objection responses
Developing competitive take-out playbooks based on historical win patterns
Performing quarterly post-mortem analysis on lost opportunities to refine product messaging