summarizing-transcript

Summarize call and meeting transcripts into topic-grouped Q&A markdown documents.

Updated Mar 28, 2026
One-click install
npx skills add https://github.com/dsonyy/dotfiles --skill summarizing-transcript-dsonyy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: summarizing-transcript
Source: https://github.com/dsonyy/dotfiles/tree/main/skills/summarizing-transcript
Command: npx skills add https://github.com/dsonyy/dotfiles --skill summarizing-transcript-dsonyy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Raw transcripts of calls, meetings, and recordings are long, noisy, and hard to scan. This Skill distills them into a filtered Q&A document grouped by topic, so the actual information content is preserved without the filler. ## Core Features & Use Cases - Q&A Distillation: Converts every substantive claim into a question-and-answer pair, grouped under topic headings ordered by importance rather than chronology. - Noise Filtering: Drops greetings, scheduling chatter, repetition, and ASR artifacts while preserving numbers, dates, names, statuses, and commitments verbatim. - ASR Error Handling: Fixes obvious speech-recognition mangling of names and technical terms, marking uncertain corrections with ? instead of inventing content. - Use Case: After a one-hour customer discovery call, produce a markdown document where each topic (pricing, timeline, objections) is a heading with concise Q&A pairs, linked back to the original transcript. ## Quick Start Summarize the attached meeting transcript into a topic-grouped Q&A document, preserving all names, dates, and commitments.

Frequently Asked Questions about summarizing-transcript

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

FAQPage Schema
How to extract action items and takeaways from a call recording transcript?▼

Each substantive claim becomes a question-plus-answer pair, so commitments, statuses, and decisions surface as distinct Q&A entries under their topic. Numbers, dates, and names are kept verbatim so action items stay accurate.

Does transcript summarization handle ASR errors in names and terms?▼

Yes. Obvious speech-recognition mistakes in names, companies, and technical terms are corrected, and uncertain cases are marked with a question mark. Nothing is silently invented, so you can verify flagged items against the source.

Can the summary be in the same language as the transcript?▼

Yes, the output matches the language of the transcript automatically. Non-English meetings produce summaries in that same language without extra configuration.

What are the limitations of Q&A-style transcript summarization?▼

The format prioritizes information density over narrative flow, so it is less suited when you need a chronological record or verbatim minutes. Analysis and opinion are excluded unless explicitly requested, in which case they appear in a separate section.