Fundamental Analysis

Q: Why use Fundamental Analysis on TypingMind?

Because you install it once and use it with any model. Fundamental Analysis 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.

Q: How do I install Fundamental Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/fundamental-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Q: Which AI models can use Fundamental Analysis?

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.

Q: How many AI models can I use with Fundamental Analysis?

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

Q: Is the Fundamental Analysis AI skill free?

Yes. It is published on GitHub by yennanliu under the MIT license. You only pay your own AI provider for the tokens you use.

Q: 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.

Q: 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.

Community

yennanliu

fundamental-analysis

Deep fundamental analysis of US stocks using financial statements

Overview

Publisher	yennanliu
Repository	`InvestSkill`
Skill name	`fundamental-analysis`
Stars	254
Forks	61
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 yennanliu on GitHub. Read the source before you install it.

Installation

Install the Fundamental Analysis 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/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/fundamental-analysis
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/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/fundamental-analysis

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/yennanliu/InvestSkill.git /tmp/InvestSkill
mkdir -p .claude/skills
cp -r /tmp/InvestSkill/plugins/us-stock-analysis/skills/fundamental-analysis .claude/skills/fundamental-analysis

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

Use it in TypingMind

Enable Fundamental Analysis 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 Fundamental Analysis 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 Fundamental Analysis 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.

Fundamental Analysis

This skill has been merged into stock-eval. Use /us-stock-analysis:stock-eval for comprehensive fundamental + quality + valuation analysis.

Quick Reference — Key Ratios

Ratio	Formula	What It Measures
P/E (Price-to-Earnings)	Market Price / EPS	How much investors pay per dollar of earnings; compare to peers and history
P/B (Price-to-Book)	Market Price / Book Value per Share	Premium over net asset value; useful for financials and asset-heavy businesses
P/S (Price-to-Sales)	Market Cap / Revenue	Valuation relative to revenue; useful when earnings are negative or depressed
EV/EBITDA	Enterprise Value / EBITDA	Capital-structure-neutral earnings multiple; standard M&A and cross-sector benchmark
ROE (Return on Equity)	Net Income / Shareholders' Equity	Profitability relative to equity book value; decompose with DuPont for quality assessment
ROIC (Return on Invested Capital)	NOPAT / Invested Capital	True economic return on all capital deployed; compare to WACC to assess value creation
Current Ratio	Current Assets / Current Liabilities	Short-term liquidity; >1.5x generally healthy; <1.0x signals potential liquidity stress
D/E (Debt-to-Equity)	Total Debt / Shareholders' Equity	Financial leverage; higher ratio = more risk but also more return amplification

For the full analysis framework — income statement line-item breakdown, working capital cycle, DuPont decomposition, cash conversion cycle, Porter's Five Forces, Piotroski F-Score, DCF, ROIC/WACC, and risk matrix — use /us-stock-analysis:stock-eval.

Standard Signal Output

All analysis concludes with this standardized block:


## Thesis Invalidation

After delivering the analysis signal, specify what would reverse it:

**If signal is BULLISH — thesis breaks if:**
- revenue growth decelerates below 5% for 2 consecutive quarters AND gross margin contracts >200bps
- [One or two more triggers drawn from this analysis's own drivers, each with a threshold]

**If signal is BEARISH — thesis breaks if:**
- revenue reaccelerates >15% AND margin expansion resumes
- [One or two more triggers drawn from this analysis's own drivers, each with a threshold]

**Re-run this analysis when:**
- [ ] Next earnings release
- [ ] Price moves ±15% from current level
- [ ] 60 days have elapsed
- [ ] Material news event (acquisition, leadership change, regulatory decision)

╔══════════════════════════════════════════════╗
║              INVESTMENT SIGNAL               ║
╠══════════════════════════════════════════════╣
║ Signal:      BULLISH / NEUTRAL / BEARISH     ║
║ Confidence:  HIGH / MEDIUM / LOW             ║
║ Horizon:     SHORT / MEDIUM / LONG-TERM      ║
║ Score:       X.X / 10                        ║
╠══════════════════════════════════════════════╣
║ Action:      BUY / HOLD / SELL               ║
║ Conviction:  STRONG / MODERATE / WEAK        ║
╚══════════════════════════════════════════════╝

Disclaimer: Educational analysis only. Not financial advice.

Frequently asked questions

What does the Fundamental Analysis AI skill do?

Deep fundamental analysis of US stocks using financial statements

Why use Fundamental Analysis on TypingMind?

Because you install it once and use it with any model. Fundamental Analysis 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 Fundamental Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yennanliu/InvestSkill/tree/main/plugins/us-stock-analysis/skills/fundamental-analysis. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fundamental Analysis?

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 Fundamental Analysis?

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

Is the Fundamental Analysis AI skill free?

Yes. It is published on GitHub by yennanliu under the MIT 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.

View all

Html Ppt Zhangzara Cartesian

nexu-io

OrganizationPopular

An economics senior thesis on the employment effects of local minimum-wage increases — identification strategy, evidence, and limitations. Built as a decision-grade coursework defense deck for thesis…

Constraint Driven Development

addyosmani

CommunityPopular

Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no…

Spec Driven Development

addyosmani

CommunityPopular

Creates specs before coding. Use when starting a new project, feature, or significant change and no specification exists yet. Use when drafting a PRD or requirements document with objectives and…

Ramp

Fetch and follow Ramp's published agent playbooks inside Paperclip, with mandatory approval gates for spend, incorporation, cards, account setup, and other financial actions.

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Fundamental Analysis

Quick Reference — Key Ratios

Standard Signal Output

Frequently asked questions

Related AI Skills

Set up your own AI workspace now