analyze

name	analyze
description	Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns.
allowed-tools	Bash, Grep, AskUserQuestion, Read
argument-hint	[file] [-d domains] [-t type] [--json] [--md] [--density] [--jump]

/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 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

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.