transcript-analysis

Extract pain points, triggers, objections, and language patterns from sales call transcripts.

1|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/AlexYedi/Empire_State_Events_Pipeline_Take_3 --skill transcript-analysis-alexyedi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: transcript-analysis
Source: https://github.com/AlexYedi/Empire_State_Events_Pipeline_Take_3/tree/main/.claude/skills/transcript-intelligence/transcript-analysis
Command: npx skills add https://github.com/AlexYedi/Empire_State_Events_Pipeline_Take_3 --skill transcript-analysis-alexyedi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Sales teams record discovery calls and demos but rarely mine the transcripts, leaving prospect language, objections, and competitive intelligence unused. This Skill applies a systematic 7-layer extraction framework to turn batches of call transcripts into actionable outbound messaging, battlecards, and sales training material. ## Core Features & Use Cases - 7-Layer Extraction Framework: Mines pain points, trigger events, prospect language, objections, competitive intelligence, decision processes, and win/loss patterns across transcript batches. - Dual Input Modes: Pulls transcripts automatically from Granola via MCP tools, or accepts manually pasted transcripts from Gong, Fathom, or notes. - Operationalization Guidance: Maps each insight type to a concrete output such as cold email rewrites, trigger-based campaigns, and competitive battlecards. - Use Case: After a month of 20 discovery calls, run the full analysis to identify the top three pains, build a language bank of exact prospect phrases, and rewrite cold email copy to match how prospects actually describe their problems. ## Quick Start Analyze my last 10 discovery call transcripts from Granola and produce a transcript analysis report with top pains, triggers, and language updates.

Frequently Asked Questions about transcript-analysis

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

FAQPage Schema
How do I analyze sales call transcripts for messaging insights?

Run the 7-layer extraction framework across a batch of at least 10 transcripts, covering pain points, triggers, language, objections, competitors, decision process, and win/loss patterns. Compile results into the provided transcript analysis report template.

How many transcripts do I need for reliable analysis?

A minimum of 10 transcripts is required before patterns become reliable; below that you are working with anecdotes. Above 20 transcripts, patterns become robust enough for confident messaging changes.

Can I pull transcripts directly from Granola?

Yes, the preferred mode uses Granola MCP tools to list meetings in a time window and fetch diarized transcripts automatically. Manual paste remains supported for Gong exports, Fathom exports, or notes from non-Granola sources.

What can I do with the language bank from call transcripts?

Use the exact prospect phrases in cold email pain lines, value propositions, CTAs, and objection handling. Matching prospect language instead of marketing jargon measurably improves reply rates.

Should I analyze lost deal transcripts too?

Yes, transcripts from lost deals often contain the most honest feedback about positioning, pricing, and competitive weaknesses. Include them alongside won calls to identify what separates conversions from losses.