Cc-skills analyze

Semantic analysis of converted recordings. TRIGGERS - analyze cast, keyword extraction, find patterns.

install

source · Clone the upstream repo

git clone https://github.com/terrylica/cc-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/terrylica/cc-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/asciinema-tools/skills/analyze" ~/.claude/skills/terrylica-cc-skills-analyze && rm -rf "$T"

manifest: plugins/asciinema-tools/skills/analyze/SKILL.md

source content

/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

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.