asciinema-analyzer

Analyze converted terminal recordings to extract keywords and topics.

62|10|Updated Dec 4, 2025

Search Tags:#analyze #ripgrep #keyword extraction #cast #TF-IDF #YAKE

One-click install

npx skills add https://github.com/terrylica/cc-skills --skill asciinema-analyzer

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: asciinema-analyzer
Source: https://github.com/terrylica/cc-skills/tree/main/plugins/asciinema-tools/skills/asciinema-analyzer
Command: npx skills add https://github.com/terrylica/cc-skills --skill asciinema-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ripgrep, yake, scikit-learn, and includes references (resource) components.

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.