asciinema-analyzer

Community

Semantic analysis for Claude Code consumption.

Authorterrylica
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Semantic analysis of converted terminal recordings to extract meaningful keywords and topics for Claude Code consumption.

Core Features & Use Cases

  • Tiered analysis: Tier 1 ripgrep for fast hits; Tier 2 YAKE for auto-discovery; Tier 3 TF-IDF for topic modeling.
  • Requirements: ripgrep; YAKE (optional); TF-IDF via scikit-learn.
  • Domain Coverage: Supports Trading/Quantitative, ML/AI, Development, Claude Code domains.

Quick Start

Provide an input .txt recording and choose analysis depth and domains; run the analysis to obtain keywords and topics.

Dependency Matrix

Required Modules

ripgrepyakescikit-learn

Components

references

💻 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: asciinema-analyzer
Download link: https://github.com/terrylica/cc-skills/archive/main.zip#asciinema-analyzer

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