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archarch 命令行

Agent Skill

arch 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。

总安装

360

周安装

15

GitHub Stars

4

下载量

120
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

2

许可证

unknown

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:arch(arch 命令行)
来源仓库:https://github.com/alphaonedev/openclaw-graph
仓库路径:skills/arch
安装命令:
npx skills add https://github.com/alphaonedev/openclaw-graph --skill arch
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/alphaonedev/openclaw-graph --skill arch

简介

用于系统架构设计与技术选型决策,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。

  • 支持架构决策记录(ADR)生成。
  • 适合新项目启动或遗留系统重构时的结构规划。
  • 使用时需提供业务上下文以评估微服务、
  • 云原生等技术方案。arch 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

arch

Purpose

This skill handles root SE architecture tasks, including system design, creating Architecture Decision Records (ADRs), performing trade-off analyses, and selecting tech stacks. It integrates with OpenClaw's core engine to output structured artifacts like diagrams, documents, or JSON reports.

When to Use

Use this skill when starting a new system design, evaluating architectural decisions, or resolving trade-offs in tech choices. Apply it during project kickoffs, refactoring, or when scaling systems, especially for complex applications involving microservices, cloud infrastructure, or distributed systems.

Key Capabilities

  • Generate ADRs in Markdown format with sections for context, decision, and consequences.
  • Analyze trade-offs using predefined models (e.g., CAP theorem for distributed systems).
  • Recommend tech stacks based on inputs like requirements, constraints, and performance metrics.
  • Produce system design diagrams via integration with tools like PlantUML.
  • Support iterative refinement of designs through feedback loops.

Usage Patterns

Invoke the skill via OpenClaw CLI or API for interactive or scripted workflows. Start with a command to initialize a design session, then chain subcommands for analysis. For example, pipe outputs to other tools for visualization. Always provide inputs as JSON files for consistency. Use environment variables for authentication, like $OPENCLAW_API_KEY, to secure requests.

Common Commands/API

Use the OpenClaw CLI with the arch subcommand. Prefix all commands with openclaw arch.

  • Design a system: openclaw arch design --input design.json --output system.md This generates a system design document. The --input flag requires a JSON file with fields like {"requirements": ["scalable"], "components": ["database", "API"]}.
  • Create an ADR: openclaw arch adr --title "Use Microservices" --context "Monolith limitations" --decision "Adopt microservices" Example snippet: openclaw arch adr --title "Microservices ADR" > adr.md cat adr.md # Outputs: # Architecture Decision Record\n## Title: Microservices ADR\n## Context:...
  • Analyze trade-offs: openclaw arch tradeoff --options "monolith,microservices" --criteria "scalability,cost" API endpoint: POST /api/skills/arch/tradeoff with body: {"options": ["monolith"], "criteria": ["cost"]} Response: JSON like {"winner": "microservices", "reasons": ["better scalability"]}.
  • Select tech stack: openclaw arch techstack --requirements "high-availability,nodejs" --constraints "budget:low" Config format: JSON input e.g., {"requirements": ["REST API"], "constraints": {"budget": 1000}} API: POST /api/skills/arch/techstack returns {"recommendations": ["Express.js", "MongoDB"]}.

Always set $OPENCLAW_API_KEY for API calls, e.g., in curl: curl -H "Authorization: Bearer $OPENCLAW_API_KEY" -X POST https://api.openclaw.ai/api/skills/arch/design.

Integration Notes

Integrate with OpenClaw by including the skill in workflows via CLI piping or API chaining. Dependencies: Node.js runtime for local execution. For auth, set $OPENCLAW_API_KEY as an environment variable before running commands. Example integration with Git: Hook into pre-commit to validate designs, e.g., openclaw arch validate --file architecture.md && git commit. Use JSON for inputs/outputs to enable parsing in scripts. Avoid direct file modifications; use --output flags. If using in a CI/CD pipeline, wrap commands in a script like:

export OPENCLAW_API_KEY=your_key
openclaw arch design --input ci-input.json > output.md

Error Handling

Common errors include invalid inputs (e.g., missing JSON fields) or auth failures. Check for HTTP 401 on API calls if $OPENCLAW_API_KEY is unset or invalid—fix by exporting the variable. For CLI, errors like "Invalid flag" return exit code 1; parse with if [$? -ne 0]; then echo "Fix input and retry"; fi. Handle trade-off analysis errors (e.g., unsupported criteria) by catching JSON responses like {"error": "Criterion not found"} and retry with corrected inputs. Always validate JSON schemas before commands using tools like jq:

jq . design.json  # Ensure it's valid JSON
openclaw arch design --input design.json

Concrete Usage Examples

  1. Generate an ADR for a microservices migration: First, prepare a JSON file: {"title": "Microservices Migration", "context": "Current monolith is unscalable"}. Run: openclaw arch adr --input adr-input.json --output migration-adr.md. This produces a Markdown ADR file for version control, e.g., commit it to track decisions.
  2. Analyze trade-offs for database selection: Input options via CLI: openclaw arch tradeoff --options "MongoDB,PostgreSQL" --criteria "flexibility,query-speed". Review the output JSON to decide, then integrate into design: openclaw arch design --input previous-output.json. This workflow helps in selecting PostgreSQL for complex queries based on analysis results.

Graph Relationships

  • Relates to: se-design (for detailed implementation), se-implementation (for code-level integration)
  • Depends on: core-engine (for processing), se-tools (for visualization utilities)
  • Conflicts with: none directly, but avoid overlapping with se-security for access controls

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

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

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

Codex

35.52%
按下载量换算43

Claude

29.85%
按下载量换算36

Cursor

18.32%
按下载量换算22

Gemini CLI

9.6%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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