Analyze
Semantic analysis of converted recordings.
by terrylica · MIT
The skill
Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns.
/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 --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 |
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.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: terrylica/analyze-73381389078.
Details
- Publisher
- terrylica
- Category
- Data & Analytics › Analysis & BI
- License
- MIT
- Updated
- 2026-10-19
References
More from terrylica
- Agent Reach Give your AI agent eyes to see the entire internet.
- Arxiv Source First Paper Ingest Read an arXiv paper faithfully by fetching the authors' own LaTeX source instead of OCR-ing the PDF.
- Asciinema Analyzer Semantic analysis of asciinema recordings.
- Asciinema Cast Format Asciinema v3 .cast file format reference.