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Agent Skill · 前端设计

senior-architect(高级建筑师)

senior-architect 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

senior-architect 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在前端设计类的 10,216 个 Skill 里排第 4,989。

总安装 759周安装 31GitHub Stars 1下载 246核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:senior-architect(高级建筑师)
来源仓库:https://github.com/pixel-process-ug/superkit-agents
仓库路径:skills/senior-architect
安装命令:
npx skills add https://github.com/pixel-process-ug/superkit-agents --skill senior-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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/pixel-process-ug/superkit-agents --skill senior-architect

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

senior-architect 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态和代码变更进行整理。适用于代码协作和仓库管理的信息处理,可结合协作事项使用。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和维护状态。

安装前建议确认是否会触发联网、命令执行或文件读写等操作边界。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/senior-architect

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/pixel-process-ug/superkit-agents --skill senio…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

senior-architect 怎么安装?

在终端执行 npx skills add https://github.com/pixel-process-ug/superkit-agents --skill senior-architec…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

senior-architect 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

senior-architect 需要什么权限?

权限级别是操作浏览器。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。

senior-architect 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

senior-architect 用的人多吗?

公开数据是累计安装 759 次,近一周安装 31 次,下载 246 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

senior-architect 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
senior-architect

高级建筑师 · 本页

7591操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Senior Architect

Overview

Provide architecture-level guidance for system design decisions. This skill produces Architecture Decision Records (ADRs), trade-off analyses, scalability blueprints, and non-functional requirements specifications. Every recommendation includes explicit trade-offs and is grounded in proven patterns.

Announce at start: "I'm using the senior-architect skill for system design and architecture decisions."


Phase 1: Requirements Analysis

Goal: Capture all functional and non-functional requirements before designing.

Actions

  1. Identify functional requirements (capabilities)
  2. Define non-functional requirements (quality attributes)
  3. Identify constraints (budget, team, timeline, compliance)
  4. Map integration points with existing systems
  5. Establish success criteria and SLOs

STOP — Do NOT proceed to Phase 2 until:

  • Functional requirements are listed
  • Non-functional requirements are quantified (not vague)
  • Constraints are explicit
  • Success criteria are measurable

Phase 2: Architecture Design

Goal: Evaluate options and select the approach with the best trade-off profile.

Actions

  1. Evaluate architectural styles (monolith, microservices, event-driven)
  2. Design component boundaries and interfaces
  3. Define data architecture (storage, flow, consistency)
  4. Plan infrastructure and deployment topology
  5. Address cross-cutting concerns (auth, logging, monitoring)

Architecture Style Decision Table

FactorMonolithModular MonolithMicroservicesServerless
Team size < 10PreferredStrong fitOverkillGood for bursty
Team size > 30ChallengingGoodPreferredDepends
Domain well-understoodGood fitGood fitNot needed yetGood fit
Domain evolving rapidlyFine to startGood fitToo earlyGood fit
Need independent deploymentNot possibleLimitedKey benefitBuilt-in
Operational maturity lowGood fitGood fitHigh riskManaged risk
Variable/bursty loadOver-provisionedOver-provisionedPossibleStrong fit

Default Recommendation

Start with Modular Monolith: clear module boundaries, single deployment. Extract to microservices only when you have proven need for independent scaling, deployment, or team autonomy.

Trade-Off Analysis: Common Pairs

ImprovingMay Degrade
ConsistencyAvailability, Latency
PerformanceMaintainability, Cost
SecurityUsability, Performance
ScalabilitySimplicity, Cost
FlexibilityPerformance, Complexity
Time to MarketQuality, Scalability

Decision Matrix Template

Weight each quality attribute (1-5), score each option (1-5), multiply and sum.

| Quality Attribute  | Weight | Option A | Option B | Option C |
|--------------------|--------|----------|----------|----------|
| Performance        |   4    |  4 (16)  |  3 (12)  |  5 (20)  |
| Maintainability    |   5    |  5 (25)  |  4 (20)  |  2 (10)  |
| Scalability        |   3    |  3 (9)   |  5 (15)  |  4 (12)  |
| Cost               |   4    |  4 (16)  |  2 (8)   |  3 (12)  |
| Total              |        |    66    |    55    |    54    |

STOP — Do NOT proceed to Phase 3 until:

  • At least 2 architectural options have been evaluated
  • Trade-offs are explicitly documented
  • Decision matrix scores support the recommendation
  • Data architecture is defined

Phase 3: Documentation and Validation

Goal: Record decisions and validate against requirements.

Actions

  1. Write Architecture Decision Records for key decisions
  2. Create system context and container diagrams (C4 model)
  3. Validate against non-functional requirements
  4. Identify risks and mitigation strategies
  5. Define evolutionary architecture guardrails

ADR Format

# ADR-{number}: {Title}

## Status
Proposed | Accepted | Deprecated | Superseded by ADR-{number}

## Context
What is the issue motivating this decision?

## Decision
What change are we proposing?

## Consequences

### Positive
- [Benefit 1]
- [Benefit 2]

### Negative
- [Trade-off 1]
- [Trade-off 2]

### Risks
- [Risk and mitigation]

## Alternatives Considered
| Option | Pros | Cons | Verdict |
|--------|------|------|---------|
| Option A | ... | ... | Chosen |
| Option B | ... | ... | Rejected because... |

C4 Model Levels

LevelShowsWhen to Use
Level 1: System ContextUsers and external systemsAlways
Level 2: ContainerMajor technical building blocksAlways
Level 3: ComponentComponents within containersComplex services
Level 4: CodeClass-level detailCritical/complex areas only

STOP — Documentation complete when:

  • ADRs written for all key decisions
  • System context diagram created
  • NFRs validated against design
  • Risks documented with mitigations

Scalability Patterns

Horizontal Scaling Decision Table

PatternUse WhenImplementation
Load BalancingMultiple instances of same serviceRound-robin, least connections, IP hash
Stateless ServicesNeed to add/remove instances freelyJWT/external session store
Auto-scalingVariable load patternsCPU/memory/request-rate triggers
Read ReplicasRead-heavy workloadsRoute reads to replicas, writes to primary

Sharding Strategy Decision Table

StrategyHowGood For
Hash-basedConsistent hash of keyEven distribution
Range-basedDate range, ID rangeTime-series data
GeographicBy region/countryData locality
Tenant-basedPer customerMulti-tenant SaaS

Caching Layers

Client Cache (browser) -> CDN Cache -> API Gateway Cache ->
Application Cache (Redis) -> Database Query Cache -> Database

Non-Functional Requirements Template

## Performance
- Response time: p95 < 200ms, p99 < 500ms for API calls
- Throughput: 1000 RPS sustained, 5000 RPS peak
- Batch processing: 1M records/hour

## Availability
- Target: 99.9% (8.76h downtime/year)
- RTO (Recovery Time Objective): < 15 minutes
- RPO (Recovery Point Objective): < 5 minutes

## Scalability
- Current: 10K DAU
- 12-month target: 100K DAU
- Scale dimension: users, data volume, request rate

## Security
- Authentication: OAuth 2.0 / OIDC
- Authorization: RBAC with resource-level permissions
- Data encryption: at rest (AES-256) and in transit (TLS 1.3)

## Observability
- Logging: structured JSON, 30-day retention
- Metrics: RED method, custom business metrics
- Tracing: distributed tracing across all services
- Alerting: PagerDuty integration, tiered severity

SLO/SLA/SLI Framework

TermDefinitionExample
SLIMeasurable metricRequest latency, error rate
SLOTarget value99.9% availability
SLAContractual commitment99.5% with penalty clause
Error Budget1 - SLO0.1% = 8.76h/year

Anti-Patterns / Common Mistakes

Anti-PatternWhy It Is WrongCorrect Approach
Resume-driven architectureComplexity without benefitChoose simplest solution that works
Distributed monolithAll downsides of bothEither true monolith or true microservices
Premature optimizationScaling for 1M users with 100Design for current + 10x, not 1000x
Golden hammerOne technology for everythingRight tool for each problem
Architecture without validationUntested assumptionsLoad test, failure test, validate
Big upfront design without iterationRequirements changeEvolutionary architecture with guardrails
Vague NFRs ("fast", "scalable")Cannot be validatedQuantified targets with measurement

Subagent Dispatch Opportunities

Task PatternDispatch ToWhen
Analyzing different architecture layersAgent tool with subagent_type="Explore" (one per layer)When reviewing frontend, backend, and infra independently
Security assessment of architectureAgent tool invoking security-review skillWhen architecture involves auth, data flow, or external APIs
Performance implications analysisAgent tool invoking performance-optimization skillWhen architecture decisions affect latency or throughput
Code quality review of existing patternsAgent tool dispatching code-reviewer agentWhen evaluating current codebase for refactoring

Follow the dispatching-parallel-agents skill protocol when dispatching.


Integration Points

SkillRelationship
senior-backendBackend implementation follows architecture decisions
senior-fullstackFull-stack architecture follows service boundaries
security-reviewSecurity is a cross-cutting architectural concern
performance-optimizationPerformance NFRs drive optimization targets
planningArchitecture decisions inform implementation planning
code-reviewReview validates architectural consistency
acceptance-testingNFRs become acceptance criteria

Key Principles

  • Start with the simplest architecture that could work
  • Make decisions reversible when possible
  • Design for failure (everything will fail eventually)
  • Optimize for team cognitive load, not technical elegance
  • Document decisions, not just outcomes
  • Prefer boring technology for critical paths
  • Every architectural decision has a cost — make it explicit

Skill Type

FLEXIBLE — Adapt architecture recommendations to the specific context. ADRs are strongly recommended for all significant decisions. Trade-off analysis is mandatory. NFRs must be quantified, not described vaguely.

平台分布

Codex

34.87%
按下载量换算86

Claude

31.39%
按下载量换算77

Cursor

20.15%
按下载量换算50

Gemini CLI

9.54%
按下载量换算23

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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