wnews-analysis

What problem does it solve?

This Skill eliminates the risk of incorrect ETF name generation in AI-powered financial news analysis for the wnews five-dimension evolution system, which often leads to inaccurate fund identification and flawed analysis results. It provides authoritative reference data and calibration rules to ensure all ETF-related outputs use standardized, correct names.

Core Features & Use Cases

• Standardized ETF Name Reference: Includes a complete list of 1386 standard ETF names across 9 categories (broad-based, new energy, tech, healthcare, industry, cross-border, dividend, commodity, currency) to eliminate naming ambiguity.
• AI Error Correction Rules: Explicitly marks high-frequency AI hallucination ETF name errors and provides correct mappings to prevent common misidentifications, such as confusing 有色ETF with 电池ETF.
• Data Calibration Guidelines: Defines rules for ETF name correction, weekend/holiday date rollback, and frontend-backend field compatibility to ensure smooth integration with the wnews backend workflow.
• Use Case: Financial analysts using the wnews system to generate daily multi-layer market analysis reports can use this Skill to automatically correct ETF names in output sections like wukong_judgment and tang_sanzang, avoiding costly misidentification of investment targets.

Quick Start

Use the wnews-analysis skill to correct all ETF names in the wukong_judgment, bajie_conclusion, and tang_sanzang sections of the daily wnews financial news analysis report to their standard canonical names using the provided reference table and error correction rules.