openclaw-architect

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.

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Install skill "openclaw-architect" with this command: npx skills add aiwithabidi/openclaw-architect

🏗️ 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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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