Domain Fintech logo

Domain Fintech

OrganizationPopular
actionbook
domain-fintech

Use when building fintech apps. Keywords: fintech, trading, decimal, currency, financial, money, transaction, ledger, payment, exchange rate, precision, rounding, accounting, 金融, 交易系统, 货币, 支付

Overview

Publisheractionbook
Repositoryrust-skills
Skill namedomain-fintech
Stars
1.5K
Forks
114
Bundled files
Instructions only
Links
  • 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 actionbook on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/actionbook/rust-skills/tree/main/skills/domain-fintech
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/actionbook/rust-skills.git /tmp/rust-skills
mkdir -p .claude/skills
cp -r /tmp/rust-skills/skills/domain-fintech .claude/skills/domain-fintech
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Domain Fintech 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 Domain Fintech 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 Domain Fintech 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.

FinTech Domain

Layer 3: Domain Constraints

Domain Constraints → Design Implications

Domain RuleDesign ConstraintRust Implication
Audit trailImmutable recordsArc, no mutation
PrecisionNo floating pointrust_decimal
ConsistencyTransaction boundariesClear ownership
ComplianceComplete loggingStructured tracing
ReproducibilityDeterministic executionNo race conditions

Critical Constraints

Financial Precision

RULE: Never use f64 for money
WHY: Floating point loses precision
RUST: Use rust_decimal::Decimal

Audit Requirements

RULE: All transactions must be immutable and traceable
WHY: Regulatory compliance, dispute resolution
RUST: Arc<T> for sharing, event sourcing pattern

Consistency

RULE: Money can't disappear or appear
WHY: Double-entry accounting principles
RUST: Transaction types with validated totals

Trace Down ↓

From constraints to design (Layer 2):

"Need immutable transaction records"
    ↓ m09-domain: Model as Value Objects
    ↓ m01-ownership: Use Arc for shared immutable data

"Need precise decimal math"
    ↓ m05-type-driven: Newtype for Currency/Amount
    ↓ rust_decimal: Use Decimal type

"Need transaction boundaries"
    ↓ m12-lifecycle: RAII for transaction scope
    ↓ m09-domain: Aggregate boundaries

Key Crates

PurposeCrate
Decimal mathrust_decimal
Date/timechrono, time
UUIDuuid
Serializationserde
Validationvalidator

Design Patterns

PatternPurposeImplementation
Currency newtypeType safetystruct Amount(Decimal);
TransactionAtomic operationsEvent sourcing
Audit logTraceabilityStructured logging with trace IDs
LedgerDouble-entryDebit/credit balance

Code Pattern: Currency Type

rust
use rust_decimal::Decimal;

#[derive(Clone, Debug, PartialEq)]
pub struct Amount {
    value: Decimal,
    currency: Currency,
}

impl Amount {
    pub fn new(value: Decimal, currency: Currency) -> Self {
        Self { value, currency }
    }

    pub fn add(&self, other: &Amount) -> Result<Amount, CurrencyMismatch> {
        if self.currency != other.currency {
            return Err(CurrencyMismatch);
        }
        Ok(Amount::new(self.value + other.value, self.currency))
    }
}

Common Mistakes

MistakeDomain ViolationFix
Using f64Precision lossrust_decimal
Mutable transactionAudit trail brokenImmutable + events
String for amountNo validationValidated newtype
Silent overflowMoney disappearsChecked arithmetic

Trace to Layer 1

ConstraintLayer 2 PatternLayer 1 Implementation
Immutable recordsEvent sourcingArc, Clone
Transaction scopeAggregateOwned children
PrecisionValue Objectrust_decimal newtype
Thread-safe sharingShared immutableArc (not Rc)

Related Skills

WhenSee
Value Object designm09-domain
Ownership for immutablem01-ownership
Arc for sharingm02-resource
Error handlingm13-domain-error

Frequently asked questions

What does the Domain Fintech AI skill do?

Use when building fintech apps. Keywords: fintech, trading, decimal, currency, financial, money, transaction, ledger, payment, exchange rate, precision, rounding, accounting, 金融, 交易系统, 货币, 支付

Why use Domain Fintech on TypingMind?

Because you install it once and use it with any model. Domain Fintech 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 Domain Fintech in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/actionbook/rust-skills/tree/main/skills/domain-fintech. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Domain Fintech?

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 Domain Fintech?

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

Is the Domain Fintech AI skill free?

It is published on GitHub by actionbook. Check the repository for licensing terms. 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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