wins-losses

Analyze CRM deal data to surface win/loss patterns and recommendations.

11|6|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/octavehq/lfgtm --skill wins-losses
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wins-losses
Source: https://github.com/octavehq/lfgtm/tree/main/skills/wins-losses
Command: npx skills add https://github.com/octavehq/lfgtm --skill wins-losses

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill analyzes won and lost deals to surface patterns, insights, and actionable recommendations, enabling teams to improve win rates and optimize sales strategies.

Core Features & Use Cases

  • Surface patterns from won and lost deals to identify drivers of success and failure.
  • Generate actionable recommendations, competitive intelligence, and library updates (battlecards, playbooks) based on deal findings.
  • Use for deal reviews, forecasting, ICP refinement, and continuous enablement.

Quick Start

Use the /octave:wins-losses skill to generate a high-level win/loss overview for the current period, or filter by status and period.

Frequently Asked Questions about wins-losses

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

FAQPage Schema
How do I analyze CRM deal data to surface win/loss patterns and insights?

You can analyze CRM deal data by processing DEAL_WON and DEAL_LOST events to surface win/loss patterns, extract actionable insights, and generate recommendations to improve sales strategy. This skill automates that analysis to identify drivers of success and failure.

What is the best way to generate executive summaries from won and lost deals?

Generating executive summaries from won and lost deals involves analyzing CRM findings to produce high-level overviews of win/loss patterns. This skill creates these summaries to inform forecasting, deal reviews, and continuous sales enablement.

Can I use win/loss analysis to refine my ideal customer profile and sales playbooks?

Yes, win/loss analysis refines your ideal customer profile by identifying successful deal drivers. This skill generates actionable recommendations and library updates like battlecards and playbooks based on deal findings to optimize sales strategies.

Does this win/loss analysis tool require specific CRM deal events to function?

Yes, the tool requires CRM deal events specifically labeled DEAL_WON and DEAL_LOST to function. It interacts with these events and associated findings to surface patterns, extract insights, and drive improvements in your sales strategy.

How do I filter deal insights by status and period for pipeline analysis?

You can filter deal insights by status and period to generate a high-level win/loss overview for the current timeframe. This allows targeted pipeline analysis, helping you identify specific patterns and recommendations for that window.

Why should I use automated win/loss analysis instead of manual deal reviews?

Automated win/loss analysis surfaces patterns from won and lost deals faster than manual reviews, identifying drivers of success and failure. It extracts competitive intelligence and actionable recommendations to continuously improve win rates and optimize strategies.