principle-separate-before-serializing-shared-state
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.
Install
npx skills add https://github.com/michael-denyer/pstack-claude/tree/main/plugins/pstack/skills/principle-separate-before-serializing-shared-state
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install michael-denyer-pstack-claude@llmmart
git clone https://github.com/michael-denyer/pstack-claude.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole michael-denyer/pstack-claude collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
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:
- Identify shared mutable state (files both read and write, branches both push to, APIs both define and consume).
- 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
lastXfield into onestate.jsonis still shared mutation.indexer-state.json+metrics-state.jsonis not. - 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.
Files (pstack-claude)
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SKILL.md 1.5 KB
--- name: principle-separate-before-serializing-shared-state description: "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." user-invocable: false --- # 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.
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