M13 Domain Error

OrganizationPopular

actionbook

m13-domain-error

Use when designing domain error handling. Keywords: domain error, error categorization, recovery strategy, retry, fallback, domain error hierarchy, user-facing vs internal errors, error code design, circuit breaker, graceful degradation, resilience, error context, backoff, retry with backoff, error recovery, transient vs permanent error, 领域错误, 错误分类, 恢复策略, 重试, 熔断器, 优雅降级

Overview

Publisher	actionbook
Repository	`rust-skills`
Skill name	`m13-domain-error`
Stars	1.5K
Forks	114
Bundled files	Instructions only
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 actionbook on GitHub. Read the source before you install it.

Installation

Install the M13 Domain Error 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/actionbook/rust-skills/tree/main/skills/m13-domain-error
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.

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/m13-domain-error .claude/skills/m13-domain-error

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

Use it in TypingMind

Enable M13 Domain Error 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 M13 Domain Error 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 M13 Domain Error 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.

Domain Error Strategy

Layer 2: Design Choices

Core Question

Who needs to handle this error, and how should they recover?

Before designing error types:

Is this user-facing or internal?
Is recovery possible?
What context is needed for debugging?

Error Categorization

Error Type	Audience	Recovery	Example
User-facing	End users	Guide action	`InvalidEmail`, `NotFound`
Internal	Developers	Debug info	`DatabaseError`, `ParseError`
System	Ops/SRE	Monitor/alert	`ConnectionTimeout`, `RateLimited`
Transient	Automation	Retry	`NetworkError`, `ServiceUnavailable`
Permanent	Human	Investigate	`ConfigInvalid`, `DataCorrupted`

Thinking Prompt

Before designing error types:

Who sees this error?
- End user → friendly message, actionable
- Developer → detailed, debuggable
- Ops → structured, alertable
Can we recover?
- Transient → retry with backoff
- Degradable → fallback value
- Permanent → fail fast, alert
What context is needed?
- Call chain → anyhow::Context
- Request ID → structured logging
- Input data → error payload

Trace Up ↑

To domain constraints (Layer 3):


"How should I handle payment failures?"
    ↑ Ask: What are the business rules for retries?
    ↑ Check: domain-fintech (transaction requirements)
    ↑ Check: SLA (availability requirements)

Question	Trace To	Ask
Retry policy	domain-*	What's acceptable latency for retry?
User experience	domain-*	What message should users see?
Compliance	domain-*	What must be logged for audit?

Trace Down ↓

To implementation (Layer 1):


"Need typed errors"
    ↓ m06-error-handling: thiserror for library
    ↓ m04-zero-cost: Error enum design

"Need error context"
    ↓ m06-error-handling: anyhow::Context
    ↓ Logging: tracing with fields

"Need retry logic"
    ↓ m07-concurrency: async retry patterns
    ↓ Crates: tokio-retry, backoff

Quick Reference

Recovery Pattern	When	Implementation
Retry	Transient failures	exponential backoff
Fallback	Degraded mode	cached/default value
Circuit Breaker	Cascading failures	failsafe-rs
Timeout	Slow operations	`tokio::time::timeout`
Bulkhead	Isolation	separate thread pools

Error Hierarchy

rust
#[derive(thiserror::Error, Debug)]
pub enum AppError {
    // User-facing
    #[error("Invalid input: {0}")]
    Validation(String),

    // Transient (retryable)
    #[error("Service temporarily unavailable")]
    ServiceUnavailable(#[source] reqwest::Error),

    // Internal (log details, show generic)
    #[error("Internal error")]
    Internal(#[source] anyhow::Error),
}

impl AppError {
    pub fn is_retryable(&self) -> bool {
        matches!(self, Self::ServiceUnavailable(_))
    }
}

Retry Pattern

rust
use tokio_retry::{Retry, strategy::ExponentialBackoff};

async fn with_retry<F, T, E>(f: F) -> Result<T, E>
where
    F: Fn() -> impl Future<Output = Result<T, E>>,
    E: std::fmt::Debug,
{
    let strategy = ExponentialBackoff::from_millis(100)
        .max_delay(Duration::from_secs(10))
        .take(5);

    Retry::spawn(strategy, || f()).await
}

Common Mistakes

Mistake	Why Wrong	Better
Same error for all	No actionability	Categorize by audience
Retry everything	Wasted resources	Only transient errors
Infinite retry	DoS self	Max attempts + backoff
Expose internal errors	Security risk	User-friendly messages
No context	Hard to debug	.context() everywhere

Anti-Patterns

Anti-Pattern	Why Bad	Better
String errors	No structure	thiserror types
panic! for recoverable	Bad UX	Result with context
Ignore errors	Silent failures	Log or propagate
Box everywhere	Lost type info	thiserror
Error in happy path	Performance	Early validation

Related Skills

When	See
Error handling basics	m06-error-handling
Retry implementation	m07-concurrency
Domain modeling	m09-domain
User-facing APIs	domain-*

Frequently asked questions

What does the M13 Domain Error AI skill do?

Why use M13 Domain Error on TypingMind?

Because you install it once and use it with any model. M13 Domain Error 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 M13 Domain Error in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/actionbook/rust-skills/tree/main/skills/m13-domain-error. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use M13 Domain Error?

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 M13 Domain Error?

As many as you like. As long as a model supports skills, you can use M13 Domain Error with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the M13 Domain Error 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Domain Error Strategy

Core Question

Error Categorization

Thinking Prompt

Trace Up ↑

Trace Down ↓

Quick Reference

Error Hierarchy

Retry Pattern

Common Mistakes

Anti-Patterns

Related Skills

Frequently asked questions

Related AI Skills

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