Win Probability Agent

Score real-time win probability for active opportunities across multiple time horizons.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/HappyCowboyAI/LLMSkills --skill win-probability-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Win Probability Agent
Source: https://github.com/HappyCowboyAI/LLMSkills/tree/main/07-win-probability-agent
Command: npx skills add https://github.com/HappyCowboyAI/LLMSkills --skill win-probability-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Real-time, time-sensitive win probability scores for sales opportunities using Backstory MCP data, incorporating timeline pressure to reveal how the same qualification gaps impact outcomes across different horizons.

Core Features & Use Cases

  • Horizon-aware scoring across TODAY, 30 Days, 90 Days, and 180+ Days with color-coded probabilities and executive-ready insights
  • Parallel data gathering from Backstory MCP components: opportunity status, recent activity, and AI validation for robust risk and qualification assessment
  • Actionable next steps and ownership assignments tailored to each timeline, enabling rapid improvement in win rates

Quick Start

Provide an account name to begin; the agent will present active opportunities, you select one, and you'll receive an executive-ready win probability analysis across multiple time horizons.

Frequently Asked Questions about Win Probability Agent

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

FAQPage Schema
How do I calculate real-time win probability for active sales opportunities?

Real-time win probability for active sales opportunities is calculated by gathering Backstory MCP data on opportunity status, recent activity, and AI validation to generate horizon-aware risk scores and actionable next steps.

How does timeline pressure impact win probability forecasting across different horizons?

Timeline pressure in win probability forecasting reveals how the same qualification gaps impact outcomes differently across TODAY, 30-day, 90-day, and 180+-day horizons, providing color-coded probabilities for each time window.

How do I assess risk factors and next steps for a specific CRM account opportunity?

To assess risk factors and next steps for a CRM account opportunity, provide the account name to select an active opportunity, and the analysis outputs executive-ready insights with ownership assignments tailored to each timeline.

What data is needed to generate time-sensitive win probability scores for sales forecasting?

Time-sensitive win probability scores require Backstory MCP data accessed via actions like find_account, get_opportunity_status, get_recent_opportunity_activity, and ask_sales_ai_about_opportunity for robust qualification assessment.

Can I use this win probability agent without existing CRM integration or opportunity data?

No, the win probability agent requires existing opportunity data accessed through the Backstory MCP components to evaluate opportunity status and recent activity for accurate, time-sensitive forecasting.

What is the difference between horizon-aware scoring and standard win probability analysis?

Horizon-aware scoring differs from standard win probability analysis by evaluating the same opportunity across multiple time horizons—TODAY, 30, 90, and 180+ days—to show how timeline pressure alters risk factors and outcomes.