
Analyze
- 86 installs
- 62 repo stars
- Updated August 3, 2026
- terrylica/cc-skills
Helps with ai & agent building tasks.
About
analyze is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted development.
- analyze
- AI & Agent Building
- AI-coding skill
Analyze by the numbers
- 86 all-time installs (skills.sh)
- Ranked #5,032 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 86 |
|---|---|
| repo stars | ★ 62 |
| Last updated | August 3, 2026 |
| Repository | terrylica/cc-skills ↗ |
What it does
Helps with ai & agent building tasks.
Files
/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
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 --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:
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.
Evolution Log
Convention: Reverse chronological order (newest on top, oldest at bottom). Prepend new entries.
---
2026-02-26: Initial Evolution Log
Status: Skill is in use and maintained. Track improvements here.
Purpose
This evolution log tracks updates to the analyze skill. Each entry should note:
- What changed (content, structure, tooling)
- Why it changed (bug fix, feature request, best practice)
- Files affected
How to Use
1. When updating SKILL.md or references, add an entry here with the date 2. Keep entries reverse-chronological (newest first) 3. Link to ADRs or GitHub issues when relevant 4. Reference specific line changes when helpful
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