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wiki-chunk

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Chunk transcripts into topic JSON for fast search.

Data & Analytics#rag#search#nlp#gemini#transcripts#chunking#embedding
Authorcdeistopened
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Chunk transcripts into semantic topic segments to enable fast search, structured retrieval, and efficient downstream embedding for retrieval-augmented workflows.

Core Features & Use Cases

  • Semantic chunking: split transcripts into topic-based chunks with timestamps, topic types, and key entities.
  • Gemini-powered: leverages Gemini to generate coherent topic boundaries and context.
  • Output format: emits data/chunks/{episode_id}.json with a structured array of chunks for embedding and indexing.
  • Use case: empower RAG pipelines and search over large transcript corpora to surface relevant topic segments quickly.

Quick Start

Run the wiki-chunk pipeline to generate topic-based JSON chunks from transcripts.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: wiki-chunk
Download link: https://github.com/cdeistopened/skill-stack-skills/archive/main.zip#wiki-chunk

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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