
memory-model
C++ and Rust memory model skill for concurrent programming. Use when understanding memory ordering, writing lock-free data structures, using std::atomic or Rust atomics, diagnosing data races, or selecting the correct memory order for atomic operations. Activates on queries about memory ordering, acquire-release, seqcst, relaxed atomics, happens-before, memory barriers, std::atomic, or Rust atomic ordering.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill memory-model- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads memory-model automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Memory Model
Purpose
Guide agents through C++ and Rust memory models: memory orderings, the happens-before relation, atomic operations, fences, and practical patterns for lock-free data structures.
Triggers
- "What is the C++ memory model?"
- "What memory order should I use for my atomic operation?"
- "What is the difference between acquire-release and seq_cst?"
- "How do I use std::atomic in C++?"
- "What is acquire/release in Rust atomics?"
- "How do I implement a lock-free queue?"
Workflow
1. Memory ordering overview
Modern CPUs and compilers reorder operations for performance. The memory model specifies what reorderings are allowed and how synchronisation is achieved.
Ordering strength (weakest to strongest):
Relaxed < Release/Acquire < AcqRel < SeqCst
Stronger ordering = more synchronization = more correct, but slower
Weaker ordering = fewer barriers = faster, but needs careful analysis
2. Memory orderings
| Order | C++ | Rust | What it means |
|---|---|---|---|
| Relaxed | memory_order_relaxed | Ordering::Relaxed | No ordering guarantee; just atomicity |
| Consume | memory_order_consume | (use Acquire) | Data dependency ordering |
| Acquire | memory_order_acquire | Ordering::Acquire | This load sees all writes before the matching release |
| Release | memory_order_release | Ordering::Release | All writes before this store are visible to acquire |
| AcqRel | memory_order_acq_rel | Ordering::AcqRel | Both acquire and release on RMW ops |
| SeqCst | memory_order_seq_cst | Ordering::SeqCst | Total order across all seq_cst operations |
3. C++ std::atomic
#include <atomic>
#include <thread>
std::atomic<int> counter{0};
std::atomic<bool> ready{false};
// Producer thread
void producer() {
data = 42; // (1) write data
ready.store(true, std::memory_order_release); // (2) signal
}
// Consumer thread
void consumer() {
while (!ready.load(std::memory_order_acquire)); // (3) wait
assert(data == 42); // (4) guaranteed to see (1)
}
Acquire-release guarantees: if thread A does a release store to X, and thread B does an acquire load that sees A's value, then all writes by A before the release are visible to B after the acquire.
4. Choosing the right ordering
Use case?
├── Counter (just needs atomicity, order irrelevant) → Relaxed
├── Reference counting (decrement + final check) → AcqRel (dec), Acquire (load 0 check)
├── Publish data from one thread to another → Release (store), Acquire (load)
├── Mutual exclusion / mutex implementation → AcqRel / SeqCst
├── Lock-free queue multiple producers/consumers → SeqCst (safest to start)
└── Sequence number check (simple flag) → Release + Acquire
5. Common patterns
// Pattern 1: Spinlock
class Spinlock {
std::atomic_flag flag = ATOMIC_FLAG_INIT;
public:
void lock() {
while (flag.test_and_set(std::memory_order_acquire))
; // spin
}
void unlock() {
flag.clear(std::memory_order_release);
}
};
// Pattern 2: Reference counting
class RefCounted {
std::atomic<int> refcount{1};
public:
void addref() {
refcount.fetch_add(1, std::memory_order_relaxed); // only need atomicity
}
void release() {
if (refcount.fetch_sub(1, std::memory_order_acq_rel) == 1) {
// AcqRel ensures we see all writes from other releasers
delete this;
}
}
};
// Pattern 3: One-time initialisation
class LazyInit {
std::atomic<void*> ptr{nullptr};
std::mutex mtx;
public:
void* get() {
void* p = ptr.load(std::memory_order_acquire);
if (p == nullptr) {
std::lock_guard lock(mtx);
p = ptr.load(std::memory_order_relaxed);
if (p == nullptr) {
p = create();
ptr.store(p, std::memory_order_release);
}
}
return p;
}
};
6. Rust atomics
use std::sync::atomic::{AtomicBool, AtomicUsize, Ordering};
use std::sync::Arc;
// Simple counter
let counter = Arc::new(AtomicUsize::new(0));
// Increment
counter.fetch_add(1, Ordering::Relaxed);
// Read
let val = counter.load(Ordering::Relaxed);
// Publish/subscribe pattern
static READY: AtomicBool = AtomicBool::new(false);
// Publisher thread
unsafe { DATA = 42; } // Write data
READY.store(true, Ordering::Release); // Signal
// Subscriber thread
while !READY.load(Ordering::Acquire) {}
let d = unsafe { DATA }; // Safe: guaranteed to see publisher's write
7. Fences
Fences provide ordering without an atomic operation on a specific variable:
// C++ fence — equivalent to a global memory barrier
std::atomic_thread_fence(std::memory_order_acquire); // Acquire fence
std::atomic_thread_fence(std::memory_order_release); // Release fence
// Typical use: multiple atomic writes then one fence
relaxed_atomic_a.store(1, std::memory_order_relaxed);
relaxed_atomic_b.store(2, std::memory_order_relaxed);
std::atomic_thread_fence(std::memory_order_release); // barrier for all above
sentinel.store(true, std::memory_order_relaxed);
8. Common mistakes
| Mistake | Fix |
|---|---|
| Using Relaxed for publish/subscribe | Use Release on store, Acquire on load |
| Using SeqCst everywhere | Profile first; use weakest correct ordering |
| Forgetting that non-atomic loads are not atomic | All shared mutable data needs atomic or mutex |
Using volatile for thread safety in C++ | volatile is not a memory ordering tool; use atomic |
| Assuming sequential consistency without SeqCst | Each platform has different default consistency |
For memory ordering rules and happens-before reference, see references/cpp-memory-ordering.md.
Related skills
- Use
skills/runtimes/sanitizers— TSan detects data races involving non-atomic accesses - Use
skills/rust/rust-sanitizers-mirifor detecting Rust memory ordering violations with Miri - Use
skills/low-level-programming/assembly-x86to understand generated fence instructions - Use
skills/debuggers/gdbfor debugging concurrent programs with thread inspection
FAQ
What does the memory-model skill do?
C++ and Rust memory model skill for concurrent programming. Use when understanding memory ordering, writing lock-free data structures, using std::atomic or Rust atomics, diagnosing data races, or selecting the correct memory order for atomic operations. Activates on queries about memory ordering, acquire-release, seqcst, relaxed atomics, happens-before, memory barriers, std::atomic, or Rust atomic ordering.
How do I install memory-model?
Run npx skills add https://github.com/mohitmishra786/low-level-dev-skills --skill memory-model in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/memory-model/ (personal) or .claude/skills/memory-model/ (project).
Which AI agents can use memory-model?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is memory-model safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains memory-model?
It is published by mohitmishra786 in mohitmishra786/low-level-dev-skills. It has 638 recorded installs.
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