Extract and classify hard and soft skills from job descriptions.
npx skills add https://github.com/tolgaio/neo --skill micro-summarizer
Please help me install this Agent Skill. Skill: Micro Summarizer Source: https://github.com/tolgaio/neo/tree/main/skills/fabric/summarize/micro Command: npx skills add https://github.com/tolgaio/neo --skill micro-summarizer
Creates ultra-concise summaries with a single sentence overview, 3 main points, and 3 takeaways (each ≤12 words).
Provide content to summarize; output in 3 concise sections.
High-intent search queries and answers about installing and using this skill.
Ultra-concise summaries distill content into a single sentence overview plus 3 main points and 3 takeaways, each limited to 12 words or fewer. This format captures essential information while eliminating verbosity, making it ideal for quick comprehension and knowledge retention across job descriptions, resumes, and technical documentation.
Yes. This Skill extracts and classifies skills from job descriptions, resumes, and industry-specific content by identifying hard skills, soft skills, domain terms, and competency phrases. It deduplicates entries and categorizes them for use in vector embeddings and RAG workflows.
Provide your content and receive structured output in three sections: a 1-sentence overview, 3 main points, and 3 takeaways, each ≤12 words. This constraint-based approach forces precision and ensures each extracted element is immediately actionable.
It applies pattern-based extraction and precise categorization across industries and document formats—job postings, resumes, and descriptions alike. Deduplication and skill-type classification enable robust embeddings suitable for RAG workflows and competency analysis.
Yes. The structured, deduplicated skill classifications and concise point extraction are designed to produce clean input for vector embeddings in RAG (Retrieval-Augmented Generation) workflows, supporting downstream NLP and semantic search applications.
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