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consolidate-transcripts

@majiayu000/claude-skill-registry
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Consolidate transcripts from a channel into a single file, sorted by date (newest first), up to 800K tokens. Use when preparing transcripts for LLM context or bulk analysis.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name consolidate-transcripts
description Consolidate transcripts from a channel into a single file, sorted by date (newest first), up to 800K tokens. Use when preparing transcripts for LLM context or bulk analysis.

Consolidate Transcripts

Why? LLMs have context limits. This skill merges multiple transcripts into a single file with accurate token counting, so you can feed an entire channel's content to Claude or GPT without exceeding limits.

Quick Start

python scripts/consolidate_transcripts.py <channel_name>

Output: data/<channel_name>/<channel_name>-consolidated.md

Workflow

1. Identify the Channel

List available channels:

ls data/

2. Choose Token Limit

Use Case Recommended Limit Flag
Claude (200K context) 150000 --limit 150000
GPT-4 Turbo (128K) 100000 --limit 100000
Full archive (Claude Pro) 800000 (default)
Quick sample 50000 --limit 50000

[!TIP] The default 800K limit leaves ~200K tokens for prompts and responses when using Claude's 1M context.

3. Run Consolidation

python scripts/consolidate_transcripts.py <channel_name> [--limit TOKENS] [--verbose]

Examples:

# Default (800K tokens)
python scripts/consolidate_transcripts.py library-of-minds

# Custom limit for GPT-4
python scripts/consolidate_transcripts.py aws-reinvent-2025 --limit 100000

# Verbose output showing all included files
python scripts/consolidate_transcripts.py dwarkesh-patel --verbose

4. Verify Output

Check the consolidated file was created:

ls -la data/<channel_name>/*-consolidated.md

Parameters

Option Description Default
channel_name Folder name in data/ Required
--limit, -l Maximum tokens to include 800000
--verbose, -v Show detailed file list False

Output Format

The consolidated file includes:

  1. Header — Generation metadata, total transcripts, token/word counts
  2. Table of Contents — Dates, titles, tokens, words per transcript
  3. Transcripts — Full text with title, date, author, source URL

Troubleshooting

Problem Cause Solution
ModuleNotFoundError: tiktoken tiktoken not installed pip install tiktoken
No transcripts found Empty transcripts folder Run transcript-download first
FileNotFoundError Channel doesn't exist Check ls data/ for valid names
Output file is small Few transcripts available Use --verbose to see what was included
Token count seems wrong Old tiktoken version pip install --upgrade tiktoken

Common Mistakes

  1. Wrong channel name — Use the folder name exactly as shown in ls data/, not the YouTube channel name.
  2. Forgetting to download transcripts first — Consolidation requires transcripts to exist. Run /download-transcripts first.
  3. Using too high a limit — If you exceed your LLM's context, you'll get truncation errors. Use the limit guide above.
  4. Expecting real-time updates — Re-run consolidation after downloading new transcripts.

Reference

  • Transcripts sorted newest first (descending by date)
  • Files without dates in filename are placed last
  • Token counting uses cl100k_base encoding (GPT-4/Claude compatible)
  • Consolidated files are gitignored (not committed)
  • Re-running overwrites the previous consolidated file