Ingest financial PDFs, Excel, and CSV reports into a searchable knowledge graph.
npx skills add https://github.com/kyssta-exe/Ariadne --skill ariadne-finance
Please help me install this Agent Skill. Skill: ariadne-finance Source: https://github.com/kyssta-exe/Ariadne/tree/main/addons/finance/skill Command: npx skills add https://github.com/kyssta-exe/Ariadne --skill ariadne-finance
Finance research teams struggle to extract consistent financial data from PDFs, Excel, and CSV reports and to connect disparate entities into a cohesive knowledge graph for faster insights.
Ingest a financial document to begin memory-building and enable subsequent search and graph queries.
High-intent search queries and answers about installing and using this skill.
To extract financial data from PDFs and Excel reports, ingest the documents into Ariadne memories for indexing and retrieval. This builds a searchable financial memory that enables subsequent search and graph queries across all ingested files.
Automated ticker recognition and market sector classification are supported during document ingestion. The Skill processes financial PDFs and spreadsheets to identify stock tickers and classify sectors while building a linked knowledge graph across reports.
Building a financial knowledge graph is done by ingesting multiple PDF and CSV reports into Ariadne. The Skill links recognized entities and tickers across documents, creating a queryable graph structure for cross-report financial analysis.
The best way to search across financial documents is using the provided Python API and CLI workflows after ingestion. These tools query the financial memory and knowledge graph, enabling cross-document entity retrieval with robust error handling.
CSV file ingestion is fully supported alongside PDF and Excel formats. The Skill processes CSV financial reports to extract tickers, classify sectors, and integrate the data into the searchable Ariadne memory and knowledge graph.
Limitations depend on document structure quality and data consistency within source PDFs. The Skill provides robust error handling during ingestion, but poorly formatted financial reports may affect ticker recognition and knowledge graph linking accuracy.
mouseqiao85Ingest financial data from Excel, PDF, and CSV files to track KPIs and flag variances.
jannolan200211-ship-itConstruct and evolve a typed knowledge graph with enforced constraints.
danielstewart77Write memory chunks to a knowledge graph with entity resolution and disambiguation.
yonatangrossOrchestrate knowledge graph memory operations with entity extraction and deduplication.
