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architect架构师

Agent Skill

architect 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

588

周安装

25

GitHub Stars

8

下载量

206
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:architect(架构师)
来源仓库:https://github.com/phrazzld/claude-config
仓库路径:skills/architect
安装命令:
npx skills add https://github.com/phrazzld/claude-config --skill architect
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/phrazzld/claude-config --skill architect

简介

architect 提供架构设计和解决方案检索支持。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中查找技术方案。
  • 可通过关键词定位候选结果和最佳实践。architect 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前需确认是否涉及联网查询或配置修改。
  • 建议结合项目规模和技术栈调整架构建议。

SKILL.md

ARCHITECT

Deep modules. Small interfaces. Hide complexity.

Role

Technical lead designing HOW to build what the product spec defined. Codex drafts alternatives. Thinktank validates. Gemini researches patterns.

Dual Mode

Exploration mode — User invokes directly. Full interactive design session. Quick mode — Autopilot invokes on specced issue. Investigate, design, validate, post.

Detection: Autopilot pipeline with specced issue = quick mode. User-invoked, or complex design space = exploration mode.


Exploration Mode

Phase 1: Absorb

  1. Read product spec: gh issue view $1 --comments
  2. Load project.md for product vision, domain glossary, quality bar
  3. Spawn research sub-agents in parallel:
AgentFocus
Codebase explorerExisting patterns, touch points, adjacent systems,.glance.md context
Web researcherCurrent best practices, framework docs, how others solve this (Gemini)
Cross-repo investigatorPrior art in misty-step org repos, shared patterns
  1. Reference /next-best-practices, /vercel-composition-patterns for React/Next.js
  2. Compile research brief: patterns found, prior art, recommendations

Present: "Here's the landscape — existing patterns, relevant prior art, constraints."

Phase 2: Explore Architectures

Generate 3-5 technical approaches. For each:

  • Architecture sketch — Components, data flow, interfaces
  • Files to modify/create — Concrete touch points
  • Pattern alignment — Does this match existing codebase patterns?
  • Tradeoffs — Complexity, performance, maintainability, deletability
  • Effort estimate — S/M/L/XL

For fundamentally different approaches, use Agent Teams:

  • Spawn 2-3 architect teammates, each developing one approach in depth
  • Each teammate owns a different design direction
  • Thinktank validates after synthesis

Recommend one approach. Present all with clear reasoning:

  • Why the recommended approach wins
  • When you'd pick each alternative instead
  • What risks each carries

Phase 3: Discussion Loop

Iterate with the user. Continues until design is locked:

  1. Present approaches with recommendation
  2. User pushes back on patterns, questions scaling, proposes alternatives
  3. Agents refine — investigate feasibility, prototype interfaces, research edge cases
  4. Update approaches based on discussion
  5. User locks direction — or explores more

Use AskUserQuestion for binary decisions. Plain conversation for design exploration.

No limit on rounds. The design isn't ready until the user says it is.

Phase 4: Codify

Post technical design on the issue:

## Technical Design

### Approach
[Strategy and key decisions — 1-2 paragraphs]

### Files to Modify/Create
- `path/file.ts` — [what changes]

### Interfaces
[Key types, APIs, data structures — actual code blocks]

### Implementation Sequence
1. [First Codex-sized chunk]
2. [Second chunk]
3. ...

### Testing Strategy
[What to test, how, which patterns]

### Risks & Mitigations
[Technical risks and how to handle them]

## Components

graph TD A[Component A] -->|calls| B[Component B] B --> C[(Store)] A -->|reads| C


## Sequence

sequenceDiagram actor User User->>API: POST /action API->>Service: process() Service-->>API: result API-->>User: 200 OK

Diagram requirements:

  • ## Components (graph TD) — always required. Shows new/changed components and their relationships.
  • ## Sequence (sequenceDiagram) — required when async interactions, API calls, or multi-step flows are involved. Omit for purely synchronous or single-component changes.
  • ## Data Model (erDiagram) — add when schema changes are part of the work.

Load ~/.claude/skills/visualize/references/github-mermaid-patterns.md for annotated examples and GitHub gotchas.

Post as comment: gh issue comment $1 --body "..."

Stress-test with /critique $1 to find design flaws.

Update labels:

gh issue edit $1 --remove-label "status/needs-design" --add-label "status/ready"

Quick Mode (Autopilot)

Triggered when autopilot calls /architect on a specced issue.

  1. Read spec from issue: gh issue view $1 --comments
  2. Codex investigates codebase + drafts design: codex exec "Design implementation for [feature]. Spec: [summary]. Find patterns, draft approach, list files." \ --output-last-message /tmp/codex-design.md 2>/dev/null
  3. Gemini researches relevant patterns
  4. Thinktank validates: thinktank /tmp/arch-review.md./CLAUDE.md --synthesis
  5. Post design, update labels to status/ready

Principles

  • Minimize touch points (fewer files = less risk)
  • Design for deletion (easy to remove later)
  • Favor existing patterns over novel ones
  • Break into Codex-sized chunks in Implementation Sequence
  • Every design decision shapes the project's future

Completion

Exploration mode: "Technical design locked. Ready for /build $1." Quick mode: "Technical design complete. Next: /build $1"

Note: For affordance-level design (places, UI/code/store affordances, wiring), consider /breadboarding. /architect is the file-level implementation primitive used by autopilot's quick mode.

Visual Deliverable

After completing the core workflow, generate a visual HTML summary:

  1. Read ~/.claude/skills/visualize/prompts/architect-diagram.md
  2. Read the template(s) referenced in the prompt
  3. Read ~/.claude/skills/visualize/references/css-patterns.md
  4. Generate self-contained HTML capturing this session's output
  5. Write to ~/.agent/diagrams/architect-{feature}-{date}.html
  6. Open in browser: open ~/.agent/diagrams/architect-{feature}-{date}.html
  7. Tell the user the file path

Skip visual output if:

  • The session was trivial (single finding, quick fix)
  • The user explicitly opts out (--no-visual)
  • No browser available (SSH session)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

qoder

27.94%
按下载量换算58

Antigravity

24.48%
按下载量换算50

kilo

20.01%
按下载量换算41

Claude Code

12.6%
按下载量换算26

windsurf

8.86%
按下载量换算18

Codex

3.4%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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