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.