Deal Debrief Agent
CommunityTurn closed deals into actionable lessons.
AuthorHappyCowboyAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Post-close analysis for won and lost deals to extract actionable lessons, identify decisive stakeholders, and capture competitive dynamics for institutional knowledge.
Core Features & Use Cases
- Find the Account and surface all opportunities, including Closed Won and Closed Lost, for a holistic debrief.
- Present Closed Opportunities and deliver a structured Deal Debrief using Backstory data (opportunity status, activity, engaged people, and account context).
- Generate a repeatable learning loop: store lessons, identify decisive moments, and apply to active deals or onboarding of reps.
Quick Start
Type an account name to generate a comprehensive Deal Debrief for its closed opportunities.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Deal Debrief Agent Download link: https://github.com/HappyCowboyAI/LLMSkills/archive/main.zip#deal-debrief-agent Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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