transcript-organizer

Converts long audio transcripts into structured meeting, lecture, and interview documents.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/hivgb1-ai/do-better-workspace-v2 --skill transcript-organizer-hivgb1-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: transcript-organizer
Source: https://github.com/hivgb1-ai/do-better-workspace-v2/tree/main/.claude/skills/transcript-organizer
Command: npx skills add https://github.com/hivgb1-ai/do-better-workspace-v2 --skill transcript-organizer-hivgb1-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Long raw transcripts from lectures, meetings, and interviews are hard to read and reuse, especially when they contain encoding issues and speech-to-text misrecognitions. This Skill turns hours of raw recording text into a detailed, structured Markdown document with quotes, sections, and action items. ## Core Features & Use Cases - Automatic encoding handling: Detects UTF-16 and EUC-KR files and converts them to UTF-8 before processing. - Context-based STT correction: Identifies and fixes speech-to-text misrecognitions using topic context, with a transparent correction table in the output. - Type-specific templates: Applies dedicated structures for lectures, meetings, and interviews, enforcing minimum length and at least 10 direct quotes. - Use Case: You have a 3-hour workshop recording exported as a UTF-16 text file. Ask the Skill to organize it, answer four short questions, and receive a 700+ line structured document saved to your project folder, then enriched into your knowledge wiki. ## Quick Start Organize this recording transcript file into a structured meeting document and save it to my inbox.

Frequently Asked Questions about transcript-organizer

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

FAQPage Schema
How do I organize a long meeting transcript into meeting minutes?

Provide the transcript file path and answer four questions about type, date, topic, and save location. The Skill reads the entire file, applies the meeting template with discussion points, decisions, and action items, then saves a structured Markdown document.

How to fix speech-to-text errors in Korean transcripts?

The Skill detects STT files by repeated misrecognition patterns and corrects them using context-based analysis rather than a fixed dictionary. Corrections are applied automatically and listed transparently in a correction notes table in the final document.

Can it process UTF-16 encoded transcript files?

Yes, it detects file encoding with the file command and converts UTF-16 or EUC-KR files to UTF-8 using iconv via the included encoding-detector.sh script. The converted file is written to /tmp before analysis begins.

What happens with very large transcript files over 3 hours?

Files above 110,000 tokens are read in chunks, but the entire content is always analyzed end to end. Output requirements scale with length: 300 lines minimum under 1 hour, 500 lines for 1-2 hours, and 700 lines for 3 hours or more.

Where does the organized transcript document get saved?

You specify a project path during the four-question setup, or the Skill suggests folders found via keyword search in the workspace. If no match exists, the document defaults to the ./00-inbox/ folder with a YYYY-MM-DD_topic.md filename.