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Developer Launches Multilingual Skills-Extraction API That Detects Soft Skills

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A developer has built and released a skills-extraction API designed to address two common shortcomings in existing tools: poor output quality and English-only support. The API accepts resume or job-posting text in any language and returns normalized, canonical skill names — mapping phrases like 'led a team' to the soft skill 'Leadership' even when that word never appears in the input. It uses Claude Haiku 4.5 with structured JSON output to ensure consistent, parseable responses, paired with a normalization layer that deduplicates and standardizes synonyms such as 'k8s' and 'Kubernetes' into a single entry. Each extracted skill is tagged as hard or soft and assigned a confidence score, with multilingual inputs currently tested in English and Spanish mapping to the same canonical English skill set. The API is live on Zyla Labs marketplace with a free trial, and the developer is actively seeking feedback on edge cases including mixed-language text and buzzword-heavy content.

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