text-analyzer
FeaturedAnalyze text content and produce statistics including word count, line count, character count, most frequent words, and readability metrics. Works on any plain text input provided inline or from a file path.
Install
Quality Score: 90/100
Skill Content
Details
- Author
- NVIDIA
- Repository
- NVIDIA/SkillEvaluator
- Created
- 2 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
text-stats
Compute word count, character count, or reading time for a piece of text using the in-bundle text-stats engine. Invoke whenever the user asks how long a passage is, how many words or characters it has, or how long it takes to read.
analyze-density
Analyze text for information density, semantic repetition, and filler content. Two modes: "score" (read-only audit with per-method breakdown) and "fix" (rewrite to remove redundancy while preserving all unique information). Dispatches 7 core analysis methods (plus genre-targeted ones) as parallel subagents, then aggregates results into a composite score and actionable report. Use when asked to "check density", "find repetition", "remove AI slop", "deduplicate this text", "is this repetitive", "information density", "compress this writing", "tighten this doc", or whenever text feels bloated or AI-generated. Also use proactively when reviewing docs or PRs that contain suspiciously fluffy prose.