win-loss-analysis
Win/loss analysis for B2B SaaS. Analyzes sales call transcripts across 6 dimensions (product, messaging, GTM/sales, pricing, competition, customer context) to extract why deals are won, lost, retained, or churned. Produces aggregate patterns with verbatim-quote evidence, frequency counts, confidence levels, and strategic recommendations. Includes process steps, output template, quality checklist, extraction patterns, and a worked 5-transcript example.
npx skills add growthack88/growth-marketing-os --skill win-loss --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
<!-- COMMUNITY SKILL — included under its original MIT license. Source: https://github.com/matteotitta/genesys-skills by Matteo Titta (MIT). License text: ../LICENSE-genesys-skills.txt Curated into Growth Marketing OS by Mahmoud Omar (mahmoudomar.com) — this file is NOT original work by the repo author; see /skills/community/README.md. --> # Win/loss analysis Analyze sales call transcripts to extr
What does the win-loss-analysis skill do?
Win/loss analysis for B2B SaaS. Analyzes sales call transcripts across 6 dimensions (product, messaging, GTM/sales, pricing, competition, customer context) to extract why deals are won, lost, retained, or churned. Produces aggregate patterns with verbatim-quote evidence, frequency counts, confidence levels, and strategic recommendations. Includes process steps, output template, quality checklist, extraction patterns, and a worked 5-transcript example.
How do I install it?
Run `npx skills add growthack88/growth-marketing-os --skill win-loss --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From growthack88/growth-marketing-os, a repository with 70 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.