interview-summary

Name: interview-summary
Availability: InStock
Author: webn77

Parses interview transcripts into themes, participant details, and actionable follow-up tasks.

Updated May 11, 2026

Search Tags:#transcript #summarization #insights #interview #action plan

Ready to run

npx skills add https://github.com/webn77/opennexus --skill interview-summary

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: interview-summary
Source: https://github.com/webn77/opennexus/tree/main/skills/interview-summary
Command: npx skills add https://github.com/webn77/opennexus --skill interview-summary

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the process of summarizing interview transcripts by extracting key themes, insights, and action items, reducing manual review time.

Core Features & Use Cases

Automated Parsing: Extract participating individuals, interview date, and main topics from raw transcripts.
Clustered Insights: Identify and summarize main themes with quoted statements.
Action Item Detection: Highlight relevant follow-up tasks with responsible parties and deadlines.
Use Case: A research team uploads interview transcripts to quickly generate a structured summary with prioritized action plans for project follow-up.

Quick Start

Paste the interview transcript into the input and run the Skill to receive a markdown file with a comprehensive summary and action plan.

Frequently Asked Questions about interview-summary

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

FAQPage Schema

How do I extract key themes and action items from an interview transcript?▼

You can summarize interview transcripts by parsing raw text to identify participating individuals, cluster main themes with quoted statements, and detect action items with responsible parties and deadlines. This reduces manual review time by generating structured, actionable insights.

What is the best way to organize qualitative research data from stakeholder interviews?▼

Organizing qualitative research from stakeholder interviews involves parsing transcripts to identify participant details and main topics. This generates a structured markdown summary with clustered insights and prioritized action plans, streamlining project follow-up and reducing manual review time.

Can I automatically generate an action plan with deadlines from a raw text transcript?▼

Yes, you can generate an action plan from a raw text transcript using automated action item detection. This highlights relevant follow-up tasks and identifies responsible parties and deadlines, directly transforming stakeholder interview data into an actionable project plan.

Does transcript summarization work for organizing stakeholder interviews without manual review?▼

Transcript summarization for stakeholder interviews automates the extraction of participant details, main topics, and clustered insights. While it significantly reduces manual review time by generating structured markdown summaries, human oversight is still recommended to validate the extracted action items.

How do I structure interview insights into a markdown file with prioritized follow-up tasks?▼

To structure interview insights into a markdown file, paste the raw transcript into the input and run the parsing process. It identifies key themes with quoted statements and outputs a comprehensive summary featuring a prioritized action plan with assigned deadlines.