/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