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M02 Resource

OrganizationPopular
actionbook
m02-resource

CRITICAL: Use for smart pointers and resource management. Triggers: Box, Rc, Arc, Weak, RefCell, Cell, smart pointer, heap allocation, reference counting, RAII, Drop, should I use Box or Rc, when to use Arc vs Rc, 智能指针, 引用计数, 堆分配

Overview

Publisheractionbook
Repositoryrust-skills
Skill namem02-resource
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 M02 Resource 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/m02-resource
  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/m02-resource .claude/skills/m02-resource
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable M02 Resource 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 M02 Resource 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 M02 Resource 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.

Resource Management

Layer 1: Language Mechanics

Core Question

What ownership pattern does this resource need?

Before choosing a smart pointer, understand:

  • Is ownership single or shared?
  • Is access single-threaded or multi-threaded?
  • Are there potential cycles?

Error → Design Question

ErrorDon't Just SayAsk Instead
"Need heap allocation""Use Box"Why can't this be on stack?
Rc memory leak"Use Weak"Is the cycle necessary in design?
RefCell panic"Use try_borrow"Is runtime check the right approach?
Arc overhead complaint"Accept it"Is multi-thread access actually needed?

Thinking Prompt

Before choosing a smart pointer:

  1. What's the ownership model?

    • Single owner → Box or owned value
    • Shared ownership → Rc/Arc
    • Weak reference → Weak
  2. What's the thread context?

    • Single-thread → Rc, Cell, RefCell
    • Multi-thread → Arc, Mutex, RwLock
  3. Are there cycles?

    • Yes → One direction must be Weak
    • No → Regular Rc/Arc is fine

Trace Up ↑

When pointer choice is unclear, trace to design:

"Should I use Arc or Rc?"
    ↑ Ask: Is this data shared across threads?
    ↑ Check: m07-concurrency (thread model)
    ↑ Check: domain-* (performance constraints)
SituationTrace ToQuestion
Rc vs Arc confusionm07-concurrencyWhat's the concurrency model?
RefCell panicsm03-mutabilityIs interior mutability right here?
Memory leaksm12-lifecycleWhere should cleanup happen?

Trace Down ↓

From design to implementation:

"Need single-owner heap data"
    ↓ Use: Box<T>

"Need shared immutable data (single-thread)"
    ↓ Use: Rc<T>

"Need shared immutable data (multi-thread)"
    ↓ Use: Arc<T>

"Need to break reference cycle"
    ↓ Use: Weak<T>

"Need shared mutable data"
    ↓ Single-thread: Rc<RefCell<T>>
    ↓ Multi-thread: Arc<Mutex<T>> or Arc<RwLock<T>>

Quick Reference

TypeOwnershipThread-SafeUse When
Box<T>SingleYesHeap allocation, recursive types
Rc<T>SharedNoSingle-thread shared ownership
Arc<T>SharedYesMulti-thread shared ownership
Weak<T>Weak refSame as Rc/ArcBreak reference cycles
Cell<T>SingleNoInterior mutability (Copy types)
RefCell<T>SingleNoInterior mutability (runtime check)

Decision Flowchart

Need heap allocation?
├─ Yes → Single owner?
│        ├─ Yes → Box<T>
│        └─ No → Multi-thread?
│                ├─ Yes → Arc<T>
│                └─ No → Rc<T>
└─ No → Stack allocation (default)

Have reference cycles?
├─ Yes → Use Weak for one direction
└─ No → Regular Rc/Arc

Need interior mutability?
├─ Yes → Thread-safe needed?
│        ├─ Yes → Mutex<T> or RwLock<T>
│        └─ No → T: Copy? → Cell<T> : RefCell<T>
└─ No → Use &mut T

Common Errors

ProblemCauseFix
Rc cycle leakMutual strong refsUse Weak for one direction
RefCell panicBorrow conflict at runtimeUse try_borrow or restructure
Arc overheadAtomic ops in hot pathConsider Rc if single-threaded
Box unnecessaryData fits on stackRemove Box

Anti-Patterns

Anti-PatternWhy BadBetter
Arc everywhereUnnecessary atomic overheadUse Rc for single-thread
RefCell everywhereRuntime panicsDesign clear ownership
Box for small typesUnnecessary allocationStack allocation
Ignore Weak for cyclesMemory leaksDesign parent-child with Weak

Related Skills

WhenSee
Ownership errorsm01-ownership
Interior mutability detailsm03-mutability
Multi-thread contextm07-concurrency
Resource lifecyclem12-lifecycle

Frequently asked questions

What does the M02 Resource AI skill do?

CRITICAL: Use for smart pointers and resource management. Triggers: Box, Rc, Arc, Weak, RefCell, Cell, smart pointer, heap allocation, reference counting, RAII, Drop, should I use Box or Rc, when to use Arc vs Rc, 智能指针, 引用计数, 堆分配

Why use M02 Resource on TypingMind?

Because you install it once and use it with any model. M02 Resource 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 M02 Resource in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/actionbook/rust-skills/tree/main/skills/m02-resource. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use M02 Resource?

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 M02 Resource?

As many as you like. As long as a model supports skills, you can use M02 Resource with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the M02 Resource 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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