Individual skill
xberg-extracting-keywords
Use when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. Covers the keyword config (and its feature gating), `--detect-language`, and the standalone `embed` command with real flags.
plugin/.ai-rulez/skills/xberg-extracting-keywords/SKILL.md
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- text-extraction Repository topic
- document-intelligence Repository topic
- metadata-extraction Repository topic
- pdf-extraction Repository topic
- python Repository topic
- rag Repository topic
- table-extraction Repository topic
- tesseract Repository topic
- ffi Repository topic
- golang Repository topic
- engineering Derived category
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# Extracting keywords, language, and embeddings
Use this for the enrichment surface around extraction: statistical keyword
extraction, language detection, and vector embeddings. Keywords and
language detection ride along with extraction and land on the result;
embeddings are produced by a dedicated `embed` command.
## Keywords (YAKE / RAKE)
Keyword extraction is configured via the `[keywords]` config block (or
inline JSON) — there is no single `--keywords` CLI flag. When enabled,
extracted keywords appear on `result.extracted_keywords` (`extractedKeywords`
in Node.js; the CLI JSON field is `extracted_keywords`). Two algorithms are
available: