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Found 29 Skills
Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. Use when chunking PDFs, HTML, plain text, or Markdown; extracting entities and relationships from text with an LLM (SimpleKGPipeline, neo4j-graphrag); loading JSON via apoc.load.json; building Document→Chunk→Entity graph structures; or connecting LangChain/LlamaIndex document loaders to Neo4j. Covers neo4j-graphrag SimpleKGPipeline, LLM Graph Builder web UI, entity resolution, chunking strategies, and graph schema design for RAG pipelines. Does NOT handle structured CSV/relational import — use neo4j-import-skill. Does NOT handle GraphRAG retrieval after ingestion — use neo4j-graphrag-skill. Does NOT handle vector index creation — use neo4j-vector-search-skill.
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.