Principle Separate Before Serializing Shared State

by cursorccb5507cec15No license10K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today

Apply when concurrent actors might write to the same file, branch, key, or state object. Eliminate the sharing first; serialize structurally only when one shared writer is a real invariant.

Instructions onlySoftware Development
AI-generated overview

Guides agents to eliminate shared mutable state between concurrent actors before resorting to structural serialization.

What it does
This instruction-only skill provides a design pattern for handling concurrent writes to shared state. It walks through identifying shared mutable state, defaulting to eliminating the shared write target by giving each actor its own file, key, branch, or state directory, and merging only at the read or reporting boundary. It advises serializing access structurally, such as with lockfiles, sequential phases, a single writer, or atomic compare-and-swap, only when one shared write target is a genuine invariant.
When to use it
Use it when concurrent actors might write to the same file, branch, key, or state object. It is meant for design or review moments where a lock or serialization approach is being considered, to first check whether the sharing can be removed.
Requirements
No tools, packages, runtimes, credentials, or network access are required. It ships no scripts; it is instructions only.

Separate Before Serializing Shared State

When concurrent actors might share mutable state, first ask whether they need the same mutable object. If not, eliminate the sharing. When sharing is real, enforce serialization structurally: lockfiles, sequential phases, exclusive ownership. Instructions and conventions are not concurrency control.

Why: Concurrent writes to shared state create race conditions that are intermittent, hard to reproduce, and expensive to debug.

Pattern:

  1. Identify shared mutable state (files both read and write, branches both push to, APIs both define and consume).
  2. Default: eliminate the shared write target. Ask: do these actors need one canonical object, or are they publishing independent facts? Give each actor its own owned file, key, branch, or state directory, and merge only at the read/reporting boundary. Two workers writing their own lastX field into one state.json is still shared mutation. indexer-state.json + metrics-state.json is not.
  3. Only when one shared write target is a real invariant, serialize access structurally (lockfiles, sequential phases, single-writer actor, or atomic compare-and-swap). Treat "we need a lock" as a design smell to check, not as the default answer.

Source and attribution

Source:cursor/pluginsinpstack/skills/principle-separate-before-serializing-shared-stateat commitccb5507

License: No license

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