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openclaw-architectOpenClaw 架构师

Agent Skill

openclaw-architect 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

11,925

周安装

507

GitHub Stars

公开资料未说明

下载量

4,178
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:openclaw-architect(OpenClaw 架构师)
来源仓库:https://github.com/aiwithabidi/openclaw-architect
安装命令:
openclaw skills install openclaw-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 openclaw-architect

简介

设计、配置和优化 OpenClaw AI 代理部署的高级指南工具。

  • 适合在 OpenClaw 中需要维护前端项目或生成组件时使用。
  • 提供网关配置、openclaw.json 设置和模型路由的专业指导。
  • 安装命令:openclaw skills install openclaw-architect,建议结合具体环境调试。
  • 涉及生产部署时应先在小范围测试配置变更的影响。

SKILL.md

name
openclaw-architect
description
Design, configure, debug, and optimize OpenClaw AI agent deployments. Master guide for gateway configuration, openclaw.json settings, model routing and fallback chains, skills development and publishing, cron job scheduling, memory systems (Qdrant, Neo4j, SQLite), Docker infrastructure, and Tailscale VPN networking. Includes config analyzer that audits your openclaw.json and suggests improvements, plus health checker that validates all OpenClaw subsystems. Built for AI agents — Python stdlib only, no dependencies. Use for OpenClaw setup, gateway debugging, skill building, cron management, model optimization, cost reduction, and infrastructure troubleshooting.
homepage
https://www.agxntsix.ai
license
MIT
compatibility
Python 3.10+ (stdlib only — no dependencies)
metadata
{"openclaw": {"emoji": "🏗️", "requires": {"env": ["OPENCLAW_WORKSPACE"]}, "primaryEnv": "OPENCLAW_WORKSPACE", "homepage": "https://www.agxntsix.ai"}}

🏗️ OpenClaw Architect

The definitive skill for understanding, configuring, debugging, and optimizing OpenClaw deployments. Built from real production experience.

Features

  • Analyze configurations — audit openclaw.json and suggest improvements
  • Health check systems — validate all OpenClaw subsystems in one command
  • Configure model routing — set up primary models, fallback chains, cost tiers
  • Build skills — SKILL.md format, CLI design, publishing to ClawHub
  • Debug gateway issues — troubleshoot errors, cron failures, session crashes
  • Optimize performance — model selection, cost reduction, context management
  • Manage cron jobs — scheduling, error handling, retry patterns
  • Configure memory systems — Qdrant, Neo4j, SQLite integration
  • Deploy infrastructure — Docker, Tailscale VPN, networking
  • Post-update verification — checklist for safe OpenClaw upgrades

Requirements

VariableRequiredDescription
OPENCLAW_WORKSPACEPath to OpenClaw workspace directory

Quick Start

PY=~/.openclaw/workspace/.venv/bin/python3

# Analyze your openclaw.json configuration
$PY skills/openclaw-architect/scripts/config_analyzer.py

# Health check all OpenClaw systems
$PY skills/openclaw-architect/scripts/health_check.py

Commands

Config Analyzer

# Audit current configuration
$PY skills/openclaw-architect/scripts/config_analyzer.py

# Analyze a specific config file
$PY skills/openclaw-architect/scripts/config_analyzer.py --config /path/to/openclaw.json

Health Check

# Check all subsystems
$PY skills/openclaw-architect/scripts/health_check.py

# Check specific subsystem
$PY skills/openclaw-architect/scripts/health_check.py --check gateway
$PY skills/openclaw-architect/scripts/health_check.py --check cron
$PY skills/openclaw-architect/scripts/health_check.py --check memory

References

FileDescription
references/architecture-overview.mdHow OpenClaw works end-to-end
references/config-reference.mdAll openclaw.json options documented
references/skills-guide.mdBuilding and publishing skills
references/cron-guide.mdCron job scheduling and patterns
references/memory-guide.mdMemory system configuration
references/troubleshooting.mdCommon fixes and debugging
references/optimization-tips.mdPerformance tuning guide

Architecture Principles

  1. Brain-First — Strategic content → Mem0/Qdrant/Neo4j/SQLite. Markdown = operational logs only.
  2. Fault-Tolerant — Always configure 2+ fallback models. Test each one works.
  3. Credit-Aware — Monitor usage, auto-switch tiers, alert before exhaustion.
  4. Skills = Publishing — Every reusable pattern becomes a ClawHub skill.
  5. Self-Monitoring — System watches its own health, uptime, costs via cron.
  6. Automate Repetition — If it happens twice → cron job or script.

Script Reference

ScriptDescription
{baseDir}/scripts/config_analyzer.pyAudits openclaw.json configuration
{baseDir}/scripts/health_check.pyValidates all OpenClaw subsystems

Output Format

All commands output structured text with clear pass/fail indicators and actionable recommendations.

Data Policy

This skill reads local configuration files only. No data is sent to external services.


Built by M. Abidi

LinkedIn · YouTube · GitHub · Book a Call

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

76.12%
按下载量换算3,180

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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