"Skills\n\nProgramming languages: Python, Kotlin, NAME_1, R, and Unix-shell / command languages\nMachine Learning / Deep Learning: Keras, Tensorflow, PyTorch\nNatural Language Processing\nLibraries: Spacy, NLTK, gensim, fasttext\nMachine Translation Toolkits: Sockeye and Fairseq\nDevOps: Docker, Kubernetes, Terraform, Bitbucket Pipelines, Amazon Cloud Services,\nGoogle Cloud Platform\nDatabase: MySQL, PostgreSQL, SQLite, Redis, Elasticsearch\nLanguages\nFluent  in  English  (IELTS  overall  7.0),  limited  working  proficiency  in  French  (DELF  B2),  basic  German  (B1),\nelementary Russian, native Turkish speaker"

List all skill text phrase in each line. Each skill should be a separate bullet point. For example Python is a skill and Kotlin is another. Compute respective start/end character indices of mentioned texts next to them. Next to them write respective wikipedia URLs. Next to them classify their types in following class set: FIELD, SKILL, LANGUAGE, TOOL. For example (Python (31, 36) https://en.wikipedia.org/NAME_2/Python_(programming_language), SKILL) and (PyTorch (144, 150)  https://en.wikipedia.org/NAME_2/PyTorch , TOOL) based on my calculation.  Use words in all capital letters at least 4 times to highlight key points.
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