Analyze deal conversations to extract competitive intelligence and deal scores.
npx skills add https://github.com/sahin/claude-skills --skill gtm-deal-intel-sahin
Please help me install this Agent Skill. Skill: gtm-deal-intel Source: https://github.com/sahin/claude-skills/tree/main/gtm-deal-intel Command: npx skills add https://github.com/sahin/claude-skills --skill gtm-deal-intel-sahin
Analyzes deal conversations — transcripts, notes, emails, and updates — to transform messy inputs into structured intelligence, scoring, and upstream recommendations.
Paste a deal transcript, notes, or emails and I will analyze it to produce a deal score, structured intelligence, and upstream recommendations.
High-intent search queries and answers about installing and using this skill.
Analyzing deal transcripts to extract competitive intelligence involves processing conversations to identify pains, objections, and pricing, then scoring the deal based on ICP fit and engagement. This produces structured intelligence and upstream GTM recommendations.
Yes, you can use HubSpot CRM data to enrich deal conversation analysis. When HubSpot data is present, the system cross-references deals and contacts to add context, ensuring deal continuity and enhancing the accuracy of the extracted competitive intelligence.
The best way to identify win and loss drivers across multiple sales deals is to perform cross-deal pattern analysis on transcripts and notes. This surfaces recurring objections and common success factors, generating insights to refine ICP and GTM strategy.
Turning messy sales notes and emails into structured pipeline intelligence requires parsing unstructured inputs to map people, pains, and timelines. The output is a quantified deal score and actionable recommendations for prioritizing follow-ups.
Analyzing deal conversations does not strictly require predefined ICP profiles and messaging frameworks, but loading them when available significantly improves context. Project context and lead scoring data help produce more accurate deal scoring and targeted upstream recommendations.
To persist cross-deal analysis results for future GTM strategy refinement, save the structured intelligence outputs to designated directories like data/gtm/deals and summary files. This ensures historical deal data remains accessible for ongoing pattern analysis.
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utkarshformatIdentify candidate customers and draft evidence-backed case studies from transcribed conversations.
