painhardcore/pstack

principle-separate-before-serializing-shared-state

Apply when concurrent actors might write to the same file, branch, key, or state object.

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/painhardcore/pstack --skill principle-separate-before-serializing-shared-state

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

Separate Before Serializing Shared State

When concurrent actors might share mutable state, first ask whether they truly 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. Telling agents or goroutines to "take turns" does not work.

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.

タスクに関連する項目

同じリポジトリから

関連する Skills

すべての Skills