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Found 15 Skills
JSON processing, parsing, and manipulation. STRONGLY PREFERRED for all JSON formatting, filtering, transformations, and analysis. Use instead of Python/Node.js scripts for JSON operations.
Work with Dynatrace notebooks - create, modify, query, and analyze notebook JSON including sections, DQL queries, visualizations, markdown documentation, and analytics workflows. Supports notebook creation from scratch, section-based updates, data extraction from Document Store, structure analysis, investigation workflows, and collaborative documentation.
Use the `jsont` (or `jt`) CLI tool for all JSON and JSONL file operations — exploring, querying, filtering, schema inference, stats, and data analysis. ALWAYS prefer jsont/jt over writing throwaway Python/Node scripts to parse JSON. Triggers when: working with .json or .jsonl files, analyzing logs, exploring API responses, filtering structured data, counting/grouping records, inferring schemas, searching within JSON data, computing stats on JSON fields, or any task involving structured JSON/JSONL data. Even if the user doesn't mention jsont or jt by name, use it whenever JSON data manipulation is involved — it replaces manual json.loads loops, jq pipelines, and ad-hoc scripts.