announcement-analysis

Generate structured Markdown reports interpreting listed-company announcements with financial and valuation data.

580|66|Updated Apr 21, 2025
One-click install
npx skills add https://github.com/aliyun/qwen-dianjin --skill announcement-analysis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: announcement-analysis
Source: https://github.com/aliyun/qwen-dianjin/tree/main/DianJin-SKILLS/investment-researcher/announcement-analysis
Command: npx skills add https://github.com/aliyun/qwen-dianjin --skill announcement-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the problem of quickly understanding the impact of listed company major announcements (annual/quarterly reports, performance forecasts, M&A, private placements, share transfers/repurchases, equity incentives, major contracts, penalties) and converting them into a structured, investor-ready interpretation.

Core Features & Use Cases

  • Structured announcement interpretation: Produces a standardized Markdown report using a broker-style review framework focused on marginal changes and expectation gaps.
  • Data-driven finance & valuation analysis: Prioritizes gildata-aidata for financial statements, financial metrics, consensus expectations, valuation, and topic-specific datasets (e.g., private placement, repurchase, shareholding changes, equity incentives, major contracts, pledges, litigation/penalties, guarantees).
  • Scenario coverage for investment research: Supports analysis templates across 13 announcement types and delivers clear investment takeaways and risks for fund managers, investment researchers, and analysts.

Quick Start

Ask the skill: “Analyze and interpret the latest announcement of [Company Name] ([Stock Code]) and generate a structured Markdown report, focusing on expectation gap and investment takeaways.”

Frequently Asked Questions about announcement-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze the investment impact of a listed company's major announcement?

Announcement analysis extracts key event details and links them to financial, valuation, and consensus-expectation data to generate a structured Markdown report with investment guidance and risk notes.

What is the best way to interpret an equity incentive plan or private placement?

Interpreting equity incentives or private placements requires a broker-style review framework that evaluates marginal changes and expectation gaps against consensus data and topic-specific datasets.

Can I use consensus expectation and financial valuation data for M&A evaluation?

Yes, you can use consensus expectation and financial valuation data for M&A evaluation by prioritizing gildata-aidata as the primary data source, falling back to web_search and file parsing if needed.

Does announcement analysis support performance forecast and quarterly report reading?

Yes, announcement analysis supports performance forecast and quarterly report reading by producing a standardized interpretation focused on marginal changes, expectation gaps, and clear investment takeaways.

How do I assess litigation and penalty impact for equity research?

Assessing litigation and penalty impact for equity research involves extracting event details and cross-referencing them with topic-specific datasets to produce a structured Markdown report with risk notes.

What are the limitations of using gildata-aidata for structured report generation?

A limitation of using gildata-aidata for structured report generation is potential data gaps, requiring web_search, web_fetch, or file parsing as fallback mechanisms to ensure complete investment analysis.