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/hai-architecture

Investigates architecture and change complexity from repository runtime paths to bounded modules, React components, and shared contracts. Use for 系统太绕、架构审查、模块边界、组件诊断、props API、effect/re-render, or SSOT/双源/漂移、重复规则、多处默认值、同名异形. Select global or bounded mode; return traced evidence,

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hai-stack
39319 skills
Install
$ npx -y skills add hylarucoder/hai-stack --skill hai-architecture --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/hai-architecture

Context preview

The summary Claude sees to decide when to auto-load this skill.

Investigates architecture and change complexity from repository runtime paths to bounded modules, React components, and shared contracts. Use for 系统太绕、架构审查、模块边界、组件诊断、props API、effect/re-render, or SSOT/双源/漂移、重复规则、多处默认值、同名异形. Select global or bounded mode; return traced evidence,

SKILL.md

hai-architecture.SKILL.md
name: hai-architecture
description: |
  Investigates architecture and change complexity from repository runtime paths to bounded modules, React components, and shared contracts. Use for 系统太绕、架构审查、模块边界、组件诊断、props API、effect/re-render, or SSOT/双源/漂移、重复规则、多处默认值、同名异形. Select global or bounded mode; return traced evidence, the complexity center, alternatives, and a first proof. React and SSOT lenses retain scored diagnosis or adjudicated treatment reports. Use hai-debug for unexplained faults and code-review-and-quality for diff/local-smell reviews.

Hai Architecture

For Chinese readers, see `SKILL.zh_CN.md`. The English `SKILL.md` is the execution source of truth.

Purpose

Review existing architecture or guide one design decision through the lens of managing complexity. Find the boundary where change amplification, cognitive load, or unknown unknowns concentrate, then recommend the smallest structural move that makes the system easier to understand and change.

Select the work mode

  • **Global investigation**: the cause or boundary of change friction is unclear, or the request

spans a repository/large subsystem. Read `references/global-audit.md` and follow its entrypoint, call-chain, state/config, and test tracing procedure. Converge on important paths after mapping the entrypoint families; do not substitute a local smell review.

  • **Bounded review/design**: a component, module, package boundary, or design choice is already identified.

Follow the workflow below, inspecting its direct callers, contracts, and tests. For React components, read `references/react-patterns.md` for the seven dimensions and React-specific checks.

  • **SSOT is a lens within either mode**, not a separate sweep: for duplicated definitions, rules,

defaults, conversions, or vocabulary, read `references/ssot-patterns.md`, then only the relevant recipes in `references/ssot-detection-cookbook.md`. A named concept/contract is bounded; a broad repository sweep uses global investigation. Reuse the same evidence if ownership is the root cause.

  • A request can move from global investigation into a bounded decision. Reuse collected evidence;

do not rerun two full reviews or ask the user to choose an internal mode.

Evidence gate

Before making an architecture claim:

1. Read every cited file in this session and cite real `file:line` locations. 2. Trace callers and implementations before asserting a call chain or blast radius; name the search. 3. Read ADRs, dependency rules, architecture tests, and public contracts that declare intended boundaries. 4. Compare a module's public surface with the complexity it actually hides before calling it deep or shallow. 5. Count each root cause once; cross-reference related symptoms instead of multiplying findings. 6. Label inference as unverified instead of presenting it as evidence.

A fabricated finding costs more trust than several missed findings. Prefer one verified painful center over a checklist of plausible smells.

Core judgments

Find the painful center

Start with the boundary or call chain under review. Ask where a common change crosses owners, requires several layers of knowledge, mixes lifecycle/persistence/execution concerns, or makes it unclear what else must change. Local naming or style issues matter only when they reveal that deeper force.

Prefer deep modules

A useful module hides significant, related complexity behind a small, stable interface. Do not split because a file is long or merge because files are adjacent. Split when the new boundary hides information; merge when separate pieces share hidden knowledge and must be understood together.

For each layer or new shape, ask:

  • Does the caller know less?
  • Does this layer own a rule or invariant?
  • Does it make illegal states harder to express?
  • Can downstream change stop here?
  • Does a conversion add meaning, constraints, or ownership?

If every answer is no, the layer is probably a pass-through tax. Do not create a new shape merely because data crossed a function.

Compare real alternatives

For a nontrivial decision, compare at least two materially different options. Explain why the current design, a further split, a merge, or a generic abstraction is rejected when each is plausible. For key recommendations, include a concise red-team misuse, blue-team defense, and residual risk.

Read `references/principles.md` when the decision needs the full lens catalog, error-boundary guidance, complexity vocabulary, or adversarial-review detail.

Workflow

Review existing code

1. State the reviewed boundary and the request's scale. 2. Pass the evidence gate: read implementation, callers, contracts, tests, and relevant decisions. 3. Draw a simple current map of actors/modules, dependency or state flow, and the intended hiding boundary. 4. Locate the highest-leverage complexity center. 5. Select only the relevant lenses from `references/principles.md`; do not score every lens by default. A full React component diagnosis uses the seven-dimension output variant; a narrow question uses only the relevant dimensions. 6. Apply the deep-module and layer-cost tests. 7. For SSOT candidates, adjudicate legitimate projections, trust-boundary rechecks, generated artifacts, and forward contracts before counting a violation; preserve persisted wire values. 8. Check relevant red flags in `references/red-flags.md`; use `references/worked-example.md` when calibrating a difficult finding or false positive. 9. Write a proportional report with evidence-backed findings ordered by impact.

Guide a design decision

1. Clarify the goal, boundary, current constraints, and contracts that must survive. 2. Map the current chain before proposing changes. 3. Design at least two fundamentally different options. 4. Compare business fit, boundary clarity, module depth, migration cost, operational risk, and rejected alternatives. 5. Recommend one option, state residual risk

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Ships withhai-stack

让 Coding Agent 把软件迭代做对:从真实问题出发,完成改动,用证据确认结果。 支持:大多数能读取 Skills(SKILL.md)的 Coding Agent,例如 Claude Code、Codex。 hai-stack 由 @海拉鲁编程客 创建。它把一次软件迭代拆成判断、设计、动手、确认、沉淀五步,每一步都有对应的技能。

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