/asciinema-tools:analyze

Run semantic analysis on converted .txt recordings.

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.

Arguments

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

Post-Execution Reflection

After this skill completes, check before closing:

1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.