asciinema-analyzer

# asciinema-analyzer Semantic analysis of converted .txt recordings for Claude Code consumption. Uses tiered analysis: ripgrep (primary, 50-200ms) -> YAKE (secondary, 1-5s) -> TF-IDF (optional). > **Platform**: macOS, Linux (requires ripgrep, optional YAKE) > **Self-Evolving Skill**: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues. ## When to Use This Skill Use this skill when: - Searching for keywords or patterns in converted recordings - Extracting topics or themes from session transcripts - Finding specific commands or errors in session history - Auto-discovering unexpected terms in recordings - Analyzing session content for documentation or review --- ## Analysis Tiers | Tier | Tool | Speed (4MB) | When to Use | | ---- | ------- | ----------- | ------------------------------ | | 1 | ripgrep | 50-200ms | Always start here (curated) | | 2 | YAKE | 1-5s | Auto-discover unexpected terms | | 3 | TF-IDF | 5-30s | Topic modeling (optional) | **Decision**: Start with Tier 1 (ripgrep + curated keywords). Only use Tier 2 (YAKE) when auto-discovery is explicitly requested. --- ## Requirements | Component | Required | Installation | Notes | | ----------- | -------- | ---------------------- | ----------------------- | | **ripgrep** | Yes |...