transcript-analysis

Extract explicit pain points and implicit signals from client meeting transcripts.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you extract explicit pain points and implicit signals from meeting transcripts so you can produce a clear, evidence-based analysis with recommendations and confidence levels instead of relying on intuition.

Core Features & Use Cases

  • Discovery signal extraction: Extract direct statements, sentiment markers, metrics, gaps, and hesitations with traceable quotes.
  • Explicit + implicit insight detection: Identify both stated pain points and underlying assumptions from what is said and what is missing.
  • Actionable recommendation mapping: Convert each finding into categorized impacts (short-term friction, long-term concerns, UX issues, or business outcomes) with Quick Wins vs Strategic plans and High/Medium/Low confidence.
  • Use case: When you have a discovery call transcript or client conversation and need a structured report for stakeholders, sales/CS follow-up, or product planning.

Quick Start

Provide the meeting transcript and ask for a discovery analysis report that includes explicit pain points, implicit insights, quick wins, strategic recommendations, open questions, and next steps with confidence levels.

Frequently Asked Questions about transcript-analysis

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

FAQPage Schema
How do I extract pain points and insights from client meeting transcripts?

To extract pain points and insights from client meeting transcripts, you provide the conversation text to generate a structured report containing explicit pain points, implicit signals, traceable quotes, and actionable recommendations.

What is the best way to analyze discovery call transcripts for actionable recommendations?

Analyzing discovery call transcripts for actionable recommendations involves categorizing findings into short-term friction, long-term concerns, and business outcomes, then mapping them to Quick Wins and strategic plans with high, medium, or low confidence levels.

How do I identify implicit signals and underlying assumptions in a conversation transcript?

Identifying implicit signals and underlying assumptions in a conversation transcript requires analyzing what is explicitly stated alongside what is missing, detecting sentiment markers, hesitations, and gaps to uncover unstated client concerns.

Can I get confidence scoring and traceable quotes for ambiguous information in transcript analysis?

Yes, transcript analysis can provide confidence scoring and traceable quotes for ambiguous information by explicitly handling missing data, assigning high, medium, or low confidence levels, and linking every finding back to the original text.

Does transcript analysis work for generating structured client discovery reports?

Yes, transcript analysis works for generating structured client discovery reports by processing submitted text from discovery calls to produce categorized impacts, open questions, and next steps tailored for stakeholder review and product planning.