summarize

# /asciinema-tools:summarize AI-powered iterative deep-dive analysis for large .txt recordings. Uses guided sampling and AskUserQuestion to progressively explore the content. > **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. ## Philosophy Large recordings (1GB+) cannot be read entirely. This command uses: 1. **Initial guidance** - What are you looking for? 2. **Strategic sampling** - Head, middle, tail + keyword-targeted sections 3. **Iterative refinement** - AskUserQuestion to drill deeper into findings 4. **Progressive synthesis** - Build understanding through multiple passes ## Arguments | Argument | Description | | ---------- | -------------------------------------------------- | | `file` | Path to .txt file (converted from .cast) | | `--topic` | Initial focus area (e.g., "ML training", "errors") | | `--depth` | Analysis depth: `quick`, `medium`, `deep` | | `--output` | Save findings to markdown file | ## Workflow ### Phase 1: Initial Guidance ```yaml AskUserQuestion: question: "What are you trying to understand from this recording?" header: "Focus" options: - label: "General overview" description: "What happened in this session? Key activities and outcomes" - label: "Key findings/decisions" ...