pattern-memory

Name: pattern-memory
Availability: InStock
Author: Chieflatif

Extract reusable selling patterns from call debriefs and closed-deal intelligence.

1|Updated Mar 4, 2026

Search Tags:#deduplication #knowledge-management #pattern-memory #sales-intelligence #meddpicc #deal-synthesis #call-debrief

Ready to run

npx skills add https://github.com/chieflatif/SalesSidekick-Claude-CoWork --skill pattern-memory

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pattern-memory
Source: https://github.com/chieflatif/SalesSidekick-Claude-CoWork/tree/main/SalesSidekick/skills/pattern-memory
Command: npx skills add https://github.com/chieflatif/SalesSidekick-Claude-CoWork --skill pattern-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns scattered call notes and deal intelligence into reusable, searchable patterns so sales teams can identify repeatable tactics, predictive signals, and common loss reasons without manual synthesis.

Core Features & Use Cases

Post-call and close synthesis: Extract 0-2 signal-patterns after call debriefs and 3-5 lessons on closed deals (won or lost).
Deduplication and occurrence tracking: Merge semantically similar patterns, increment occurrence counts, and update confidence and timestamps.
Search and surfacing: Surface the top matching patterns during meeting prep, weekly reviews, and deal strategy using tags like competitor, deal stage, MEDDPICC elements.
Use Case: Run a win/loss synthesis on a closed deal to capture timing insights, competitive dynamics, and 3-5 actionable lessons that inform future deal playbooks.

Quick Start

Ask the assistant to synthesize 3-5 patterns from the closed deal acme-q2 and deduplicate them against existing patterns.

Frequently Asked Questions about pattern-memory

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

FAQPage Schema

How do I extract reusable sales patterns from call debriefs and closed-deal intelligence?▼

To extract reusable sales patterns from call debriefs and closed-deal intelligence, synthesize your notes to surface signal, win, loss, competitive, and timing patterns. This process generates deduplicated markdown files with metadata like type, confidence, source deals, tags, and occurrences.

What is the best way to deduplicate selling patterns and track occurrence counts?▼

The best way to deduplicate selling patterns is to merge semantically similar patterns extracted from deal syntheses. When similar patterns are detected, the system increments occurrence counts, updates confidence levels, and refreshes timestamps to maintain a clean knowledge base.

How do I capture win-loss patterns and MEDDPICC insights from closed deals?▼

To capture win-loss patterns and MEDDPICC insights from closed deals, run a post-close synthesis. This extracts 3-5 actionable lessons per deal, identifying timing insights and competitive dynamics that inform future deal playbooks using tagged metadata.

Can I surface predictive signals during meeting prep and weekly deal reviews?▼

Yes, you can surface predictive signals during meeting prep and weekly reviews by searching deduplicated pattern files. Use tags like competitor, deal stage, and MEDDPICC elements to retrieve the top matching historical patterns for your current deals.

How many signal-patterns can I extract from a post-call debrief?▼

You can extract 0-2 signal-patterns from a post-call debrief to avoid noise. For closed-deal syntheses, the system captures 3-5 actionable lessons, ensuring high-quality intelligence while automatically merging duplicates and incrementing occurrence counts.