/asciinema-tools:analyze

Run semantic analysis on converted .txt recordings.

Arguments

Argument	Description
`file`	Path to .txt file
`-d, --domains`	Domains: `trading,ml,dev,claude`
`-t, --type`	Type: `curated`, `auto`, `full`, `density`
`--json`	Output in JSON format
`--md`	Save as markdown report
`--density`	Include density analysis
`--jump`	Jump to peak section after analysis

Execution

Invoke the asciinema-analyzer skill with user-selected options.

Skip Logic

If file provided -> skip Phase 1 (file selection)
If -t provided -> skip Phase 2 (analysis type)
If -d provided -> skip Phase 3 (domain selection)
If --json/--md provided -> skip Phase 6 (report format)
If --jump provided -> auto-execute jump after analysis

Workflow

Preflight: Check for .txt file
Discovery: Find .txt files
Selection: AskUserQuestion for file
Type: AskUserQuestion for analysis type
Domain: AskUserQuestion for domains (multi-select)
Curated: Run ripgrep searches
Auto: Run YAKE if selected
Density: Calculate density windows if selected
Format: AskUserQuestion for report format
Next: AskUserQuestion for follow-up action

Examples

# Quick curated analysis for trading domain
/asciinema-tools:analyze session.txt -d trading -t curated

# Full analysis with density and JSON output
/asciinema-tools:analyze session.txt -t full --density --json

# Auto keyword discovery with markdown report
/asciinema-tools:analyze session.txt -t auto --md

Troubleshooting

Issue	Cause	Solution
ripgrep not found	Not installed	`brew install ripgrep`
YAKE not available	Python package missing	`uv pip install yake`
No keywords found	Wrong domain or sparse content	Try `-t auto` for discovery