credit-industry-analysis

Generate credit-focused industry deep-dive reports with PEST, Porter's Five Forces, and TAM/SAM/SOM analysis.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

It turns unstructured industry information into a credit-ready, structured due-diligence report by quantifying market size, competition, supply-demand outlook, and regulatory red lines for specific industries.

Core Features & Use Cases

  • Credit-focused industry deep analysis: Builds an end-to-end industry narrative for pre-loan due diligence using standardized frameworks (PEST, Porter’s Five Forces, value chain analysis, TAM/SAM/SOM).
  • Quantified decisions with enforced constraints: Requires measurable outputs such as CR3/CR5/HHI, market size math, capacity utilization, scenario assumptions, and mandatory red-line checks (I1–I6) suitable for credit risk review.
  • Structured report output for downstream skills: Produces a consistent, template-based report with clear sections and audit trail logic, enabling follow-up by downstream credit workflows.

Quick Start

Ask the agent to generate a credit-focused industry deep-dive report for the provided industry name and GB/T 4754-2017 code for a specified geographic scope and analysis purpose, including red-line screening and a structured final output.

Frequently Asked Questions about credit-industry-analysis

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

FAQPage Schema
How do I generate a credit-focused due diligence report for industry access evaluation?

To generate a credit-focused due diligence report, you specify the industry name, GB/T 4754-2017 code, and geographic scope. The skill applies PEST, Porter's Five Forces, and TAM/SAM/SOM frameworks to produce quantified indicators and structured analysis.

What frameworks are used for credit industry analysis and risk assessment?

Credit industry analysis uses PEST, Porter's Five Forces, value-chain analysis, and TAM/SAM/SOM market sizing. These frameworks generate quantified metrics like CR3/CR5/HHI, capacity utilization, and scenario assumptions for pre-loan due diligence.

Can I use this skill for pre-loan due diligence without knowing the GB/T 4754-2017 industry code?

No, pre-loan due diligence requires the GB/T 4754-2017 industry code to define the industry scope accurately. This code ensures the analysis targets the correct regulatory red lines and produces compliant, credit-ready outputs.

What is the best way to enforce regulatory red lines during industry analysis?

The best way to enforce regulatory red lines is through the mandatory I1–I6 red-line checks integrated into the workflow. These compliance guardrails screen specified industries during the analysis to ensure quantified decisions meet credit policy requirements.

How do I calculate market size and competition metrics for a credit risk review?

You calculate market size and competition metrics using TAM/SAM/SOM market sizing and concentration ratios like CR3/CR5/HHI. The skill quantifies these indicators alongside capacity utilization to support credit risk review and scenario analysis.

What are the limitations of using automated industry analysis for credit policy adjustment?

Automated industry analysis for credit policy adjustment requires complete workflow execution with explicit scenario assumptions and defined geographic scope. It does not bypass mandatory I1–I6 red-line enforcement and needs standardized GB/T 4754-2017 code inputs to function.