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kv-senior-architectKV 高级架构师

Agent Skill

kv-senior-architect 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

2,863

周安装

123

GitHub Stars

公开资料未说明

下载量

1,004
OpenClaw

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

2

许可证

MIT-0

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:kv-senior-architect(KV 高级架构师)
来源仓库:https://github.com/felix-antonio-sl/kv-senior-architect
安装命令:
openclaw skills install kv-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install kv-senior-architect

简介

系统架构评估与设计生成工具,支持技术选型与架构工件产出。

  • 适合新项目技术栈决策、遗留系统重构或高可用方案设计。kv-senior-architect 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 输出包含组件图、部署拓扑与SLA承诺的可视化架构文档。
  • 需结合业务规模、团队能力与合规要求进行权衡,避免过度工程。
  • 重大架构变更前应组织同行评审,确保多方视角覆盖潜在风险。

SKILL.md

name
senior-architect
description
Design system architecture, evaluate patterns, and produce architecture artifacts. Use when designing a new system or reviewing an existing one, choosing between monolith and microservices, selecting a database or tech stack, creating architecture diagrams (Mermaid, PlantUML, ASCII), writing ADRs, analyzing dependencies, or planning for scalability.
compatibility
Requires Python 3.8+ for scripts in scripts/.

Senior Architect

Turn architecture questions into structured decisions and validated artifacts.

Activation

Use this skill when the user asks to:

  • design or review a system architecture
  • choose between monolith, microservices, or a hybrid approach
  • select a database, framework, or cloud service
  • generate architecture diagrams from a project
  • analyze dependencies for coupling or circular references
  • write an Architecture Decision Record (ADR)
  • assess scalability, fault tolerance, or domain boundaries

Workflow

  1. Classify the request: design | diagram | dependency | decision | review.
  2. Load the relevant reference:

- architecture patterns, monolith vs microservices → {baseDir}/references/architecture_patterns.md - database / tech stack selection → {baseDir}/references/tech_decision_guide.md - capacity planning, API design, migration planning → {baseDir}/references/system_design_workflows.md

  1. Run the appropriate script when a project directory is available:
   # Generate architecture diagram (mermaid | plantuml | ascii)
   python {baseDir}/scripts/architecture_diagram_generator.py ./project --format mermaid

   # Analyze dependencies for coupling and circular references
   python {baseDir}/scripts/dependency_analyzer.py ./project --verbose

   # Detect architectural patterns and code organization issues
   python {baseDir}/scripts/project_architect.py ./project --verbose
  1. Apply the decision framework: state the options, the trade-offs, and the recommendation with rationale.
  2. Emit the artifact: diagram, ADR, or assessment report — one primary artifact per response.

Output Contract

  • Open with the dominant architectural tension or decision.
  • Emit one primary artifact (diagram, ADR, or assessment).
  • For ADRs: include Context, Options, Decision, and Trade-offs sections.
  • Annotate non-obvious decisions in diagrams.
  • Close with the next recommended step (e.g., "extract service X when team Y reaches N people").

Key Rules

  • Default to modular monolith for teams under 10. Document when microservices are justified.
  • Every architecture recommendation must state the trade-offs accepted, not just the benefits.
  • Use {baseDir}/references/tech_decision_guide.md decision matrices before recommending a specific database or framework — do not default to a stack based on recency.
  • Flag circular dependencies as blocking issues; flag coupling scores >70 as warnings.

Guardrails

  • Do not generate implementation code (controllers, services, repositories) — stay at architecture level.
  • Do not recommend microservices to teams that have not yet identified stable domain boundaries.
  • Do not produce diagrams without first identifying the services/components from the project or the user's description.
  • Stay within architecture, design, and decision scope; for container/deployment specifics refer to docker-development or senior-devops.

Self Check

Before emitting any artifact, verify:

  • the chosen pattern matches the team size and operational maturity stated;
  • trade-offs are explicitly listed alongside benefits;
  • the diagram matches the described system (no invented components);
  • dependency issues are graded by severity.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

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

OpenClaw

73.77%
按下载量换算741

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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