cue_skill

Overview

This skill is an AI-powered financial research assistant that applies white-box evidence engineering and a multi-agent architecture to collect, verify, and analyze information. It produces traceable, reusable research outputs and can convert reports into ongoing monitors for automated alerts. The goal is to move from one-off AI chat interactions to a reliable skill partner for financial decision support.

How this skill works

The system routes user input to either explicit commands or natural-language intent recognition, then orchestrates multiple agents to search, download, cross-check, and synthesize evidence. Every conclusion is accompanied by a full evidence chain and source citations to reduce hallucinations. After a deep research run, you can automatically generate monitors that extract key signals and run periodically to trigger notifications.

When to use it

• When you need a fast, evidence-backed industry or company deep-dive (5–10 minutes typical)
• When you require traceable conclusions with source citations for compliance or audit
• When you want to convert a research report into automated monitors and alerts
• When you need reusable research processes or templates for repeated workflows
• When manual cross-site searches and verification are too slow or error-prone

Best practices

• Use natural language prompts for broad research and explicit commands for structured tasks
• Specify a research mode (advisor, researcher, fund-manager) to tailor depth and output
• Register and bind your own API key for unlimited sessions and private workspaces
• Review the provided evidence chain before acting on high-stakes recommendations
• Generate monitors from finalized reports to maintain continuous signal tracking

Example use cases

• Wealth managers: one-click competitive analysis across market peers with a structured report
• Credit analysts: automated cross-validation of company disclosures, filings, and legal records
• Investment bankers: early detection of issuance or M&A signals to prioritize outreach
• Content teams: automated multi-dimensional outputs (event timelines, competitor matrices) for publishing
• Risk teams: dynamic risk-path analysis and automated monitoring of trigger events