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.