Agent Skills: /asciinema-tools:analyze

/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

1. Preflight: Check for .txt file
2. Discovery: Find .txt files
3. Selection: AskUserQuestion for file
4. Type: AskUserQuestion for analysis type
5. Domain: AskUserQuestion for domains (multi-select)
6. Curated: Run ripgrep searches
7. Auto: Run YAKE if selected
8. Density: Calculate density windows if selected
9. Format: AskUserQuestion for report format
10. 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 |