analyze

Solid

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

AI & Automation 62 stars 9 forks Updated today MIT

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Quality Score: 80/100

Stars 20%
60
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill 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 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 (mul...

Details

Author
terrylica
Repository
terrylica/cc-skills
Created
8 months ago
Last Updated
today
Language
Shell
License
MIT

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