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Found 29 Skills
Analyze lakehouse data interactively using Fabric Livy sessions and PySpark/Spark SQL for advanced analytics, DataFrames, cross-lakehouse joins, Delta time-travel, and unstructured/JSON data. Use when the user explicitly asks for PySpark, Spark DataFrames, Livy sessions, or Python-based analysis — NOT for simple SQL queries. Triggers: "PySpark", "Spark SQL", "analyze with PySpark", "Spark DataFrame", "Livy session", "lakehouse with Python", "PySpark analysis", "PySpark data quality", "Delta time-travel with Spark".
Converts unstructured field notes, text messages, voice-to-text transcripts, or informal subcontractor updates into a properly formatted Solar EPC construction daily report. Use this skill whenever a user provides raw field notes, a dump of information from a site superintendent, a forwarded text thread, or any informal description of a day's construction activity and needs it turned into a structured daily log. Trigger for phrases like "format this into a daily report", "turn this into a daily log", "my super sent me this", "here's what happened on site today", "write up today's progress", or when a user pastes a block of unstructured text that describes construction activity. Also trigger when a user asks how to document a weather delay, crew idle time, or a site condition that affected production. Every unrecorded day of construction is an unprotected schedule claim.
Transform conversations and unstructured information into structured Notion documentation. Extract key insights, decisions, and action items. Create cross-linked knowledge bases with templates for meeting notes, how-to guides, decision records, and project documentation. Integrates with Notion API for seamless content creation.
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Parser Expert integration. Manage data, records, and automate workflows. Use when the user wants to interact with Parser Expert data.