Graph Insights
Description
--- description: Generate insightful financial graphs from CSV transaction data argument-hint: <csv_file> hooks: Stop: - hooks: - type: command command: "uv run \"$CLAUDE_PROJECT_DIR\"/.claude/hooks/validators/graph-validator.py" --- # Graph Insights Command Generate a single insightful graph from CSV financial data. ## Variables ROOT_OPERATIONS_DIR: CLAUDE.md: ROOT_OPERATIONS_DIR ## Arguments - `$ARGUMENTS`: Path to a CSV file (e.g., `ROOT_OPERATIONS_DIR/mock_dataset
Installation
Installs to ~/.claude/commands/disler-agentic-finance-review-graph-insights.md
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/disler/agentic-finance-review/HEAD/.claude/commands/graph-insights.md -o ~/.claude/commands/disler-agentic-finance-review-graph-insights.md Restart Claude Code, or start a new session, for it to be picked up.
Full documentation available on GitHub
View Source RepositoryRelated Skills
mcp-server-postgres
Read-only PostgreSQL database access.
Data mcp-server-sqlite
SQLite database interaction and querying.
Data mcp-server-google-maps
Google Maps integration for location data.
Data Bitbucket Data Center
---
Data Csv Data Summarizer
Automatically analyze CSV files and generate comprehensive insights with visualizations
Data Financial Services
Reference agents, skills, and data connectors for the financial-services workflows we see most — investment ba
Data