China Dcf Model

Community

jwangkun

china-dcf-model

Discounted cash flow (DCF) valuation model for A-share equities. This alias skill redirects to china-dcf, which provides comprehensive DCF modeling adapted for Chinese market conventions. Triggers on "A股DCF模型", "DCF估值", "DCF model China", "现金流折现", "discounted cash flow A-share", or "DCF [company]".

Overview

Publisher	jwangkun
Repository	`claude-for-financial-services-cn`
Skill name	`china-dcf-model`
Stars	834
Forks	132
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by jwangkun on GitHub. Read the source before you install it.

Installation

Install the China Dcf Model AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-dcf-model
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-dcf-model

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn.git /tmp/claude-for-financial-services-cn
mkdir -p .claude/skills
cp -r /tmp/claude-for-financial-services-cn/agent-plugins/china-earnings-reviewer/skills/china-dcf-model .claude/skills/china-dcf-model

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable China Dcf Model in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads China Dcf Model on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so China Dcf Model is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

china-dcf-model

Note: This skill is an alias/wrapper for china-dcf. For full DCF modeling guidance, see china-dcf/SKILL.md.

Purpose

Provide access to A股DCF估值 — discounted cash flow valuation adapted for Chinese market parameters.

Quick Reference

Core DCF Parameters (China)

Parameter	Typical Value	Source
Risk-free rate	2.0-3.0%	China 10Y CGB yield
Equity risk premium	6-8%	China-specific
Beta	0.8-1.2	A-share historical
Cost of debt	3-6%	China corporate bond yields
Terminal growth	3-4%	China GDP long-term
Tax rate	25% (15% for 高新)	CAS

Key Differences from US DCF

Aspect	US	China (A-share)
Risk-free rate	UST 10Y	China 10Y CGB
ERP	5-6%	6-8% (higher for EM)
Terminal growth	2-3%	3-4%
Tax rate	21% (federal)	25% (15% for 高新)
Currency	USD	CNY
Revenue units	$M	万元 / 亿元

Quick Workflow

Project FCF — 5-year explicit period
Calculate WACC — Use China parameters
Discount FCF — PV of explicit period
Terminal value — Gordon growth or exit multiple
Enterprise value — Sum of PVs
Equity value — EV - Net debt + Minority interest
Value per share — Equity value / Shares

Common Pitfalls

Pitfall	China-Specific Fix
Using US risk-free rate	Use China 10Y CGB
Wrong tax rate	Verify 高新 enterprise status
Revenue in USD	Convert to CNY
Ignoring 增值税	Revenue should be net of VAT
Western terminal growth	Use 3-4% for China

For Full Details

See: china-dcf/SKILL.md

Quality Checks

Frequently asked questions

What does the China Dcf Model AI skill do?

Why use China Dcf Model on TypingMind?

Because you install it once and use it with any model. China Dcf Model is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install China Dcf Model in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/agent-plugins/china-earnings-reviewer/skills/china-dcf-model. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use China Dcf Model?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with China Dcf Model?

As many as you like. As long as a model supports skills, you can use China Dcf Model with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the China Dcf Model AI skill free?

Yes. It is published on GitHub by jwangkun under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

china-dcf-model

Purpose

Quick Reference

Core DCF Parameters (China)

Key Differences from US DCF

Quick Workflow

Common Pitfalls

For Full Details

Quality Checks

Frequently asked questions

Related AI Skills

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