Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns.
Resources
1Install
npx skillscat add terrylica/cc-skills/analyze Install via the SkillsCat registry.
This skill performs semantic analysis on converted text recordings to extract keywords, identify patterns, and analyze cast members. It automates the process of extracting structured insights from terminal session logs. Developers should use it to transform raw session recordings into organized reports or JSON data for domain-specific analysis.
/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
| 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
fileprovided -> skip Phase 1 (file selection) - If
-tprovided -> skip Phase 2 (analysis type) - If
-dprovided -> skip Phase 3 (domain selection) - If
--json/--mdprovided -> skip Phase 6 (report format) - If
--jumpprovided -> 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 --mdTroubleshooting
| 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 |
Post-Execution Reflection
After this skill completes, check before closing:
- Did the command succeed? — If not, fix the instruction or error table that caused the failure.
- Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
- 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.