How

作者 backnotprop3a604672c46c無授權條款1.3K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.

AI 產生的概覽

說明程式碼庫子系統如何運作,產出架構解說以及放置位置與歸屬方面的指引。

功能
透過探查程式碼庫來回答「X 是如何運作的」這類問題,並產出面向剛接手某個子系統的資深工程師的架構解說。它會先評估複雜度,接著不是執行一次解說流程,就是平行啟動多個探查角色,再把他們的發現綜合成一份解說。輸出依概觀、關鍵概念、運作方式、各部分所在位置和注意事項等章節組織,同時也會回答放置位置、歸屬和分層方面的問題。
適用情境
適用於詢問某個子系統如何運作、在改動某處之前先做程式碼走查,以及放置位置、歸屬或分層問題,例如某段程式碼應該放在哪裡、由哪個套件負責。它的目標是協助建立可用的心智模型,而不是說明動機,後者該技能會指向別處。
執行需求
需要在帶有子代理工具的代理執行環境中使用;該技能提到 Cursor 的 Task 工具,以及 Claude Code、OpenCode 和 Codex 中的替代方式,並說明若沒有子代理工具就依序自行扮演各角色。它會讀取兩個參考提示檔案,並可選擇讀取 pstack 設定檔以挑選模型。不隨附任何指令碼。

How

Explore the codebase to answer "how does X work?" questions. Produce architectural explanations at the level of a senior engineer onboarding onto a subsystem, enough to build a working mental model, not so much that it reads like annotated source code.

Each spawn below names a role line in the pstack settings file (~/.cursor/rules/pstack-models.mdc in Cursor, ~/.agents/pstack-models.md in other harnesses) and a default. Set model to that line's value, or to the default if the file or the line is missing. Leave model unset when the value is auto or inherit-parent. If your subagent tool rejects a slug, use the default and say so. If it rejects the default, use the closest valid slug of the same family from its error message or your harness's model list.

Step 1. Assess Complexity

If the scope is ambiguous, state your interpretation and explore. The user can redirect.

  • Simple (a single module, a small utility, a narrow question such as "how does function X work"): no explorers. One explainer explores and explains in a single pass. Go to Step 2b.
  • Complex (a subsystem spanning multiple files or services, a cross-cutting feature, a full architectural overview): spawn parallel explorers first, then hand off to the explainer. Go to Step 2a.

When in doubt, take the simple path.

Other harnesses. The spawns in this skill use Cursor's Task tool. In another harness, use its subagent tool: Agent in Claude Code (subagent_type: general-purpose), task in OpenCode (subagent_type: general), spawn_agent in Codex. Keep the prompt and the model. Drop parameters your tool doesn't have. If your harness has no subagent tool, as in Pi without an extension, run each role yourself, one after another.

Step 2a. Explore (complex questions only)

Decompose the question into 2 to 4 exploration angles, each a distinct slice of the subsystem. Spawn all explorers in a single message:

  • subagent_type: generalPurpose
  • model: the how explorer line, default grok-4.7-xhigh-fast
  • readonly: true

Each explorer gets the prompt in references/explorer-prompt.md with its angle filled in. Then go to Step 3.

Step 2b. Direct Explain (simple questions)

Spawn one Task subagent that explores and explains in one pass:

  • subagent_type: generalPurpose
  • model: the how explainer line, default claude-opus-5-5-xhigh
  • readonly: true

Build its prompt from references/explainer-prompt.md without the explorer-findings section. Go to Step 4.

Step 3. Synthesize (complex questions only)

Once all explorers have returned, spawn one Task subagent to synthesize their findings into one explanation:

  • subagent_type: generalPurpose
  • model: the how explainer line, default claude-opus-5-5-xhigh
  • readonly: true

Build its prompt from references/explainer-prompt.md with every explorer's findings filled in.

Step 4. Present

Present the explainer's output to the user. Light edits for clarity or context from the conversation are fine. Do not substantially rewrite it.

Output Format

The explanation uses the sections defined in references/explainer-prompt.md, dropping any that do not apply: Overview, Key Concepts, How It Works, Where Things Live, Gotchas.

來源與署名

來源:backnotprop/pstack位於skills/how提交3a60467

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