Diagnose cross-system failures across bridge, orchestrator, OpenClaw, backend, and frontend.
npx skills add https://github.com/abzhaw/juliaz_agents --skill juliaz-debug
Please help me install this Agent Skill. Skill: juliaz-debug Source: https://github.com/abzhaw/juliaz_agents/tree/main/.claude/skills/juliaz-debug Command: npx skills add https://github.com/abzhaw/juliaz_agents --skill juliaz-debug
Cross-system diagnostics for the juliaz_agents ecosystem to identify and triage failures across bridge, orchestrator, OpenClaw, backend, and frontend.
Run a quick health scan by checking running services, container status, port usage, and health endpoints to get the system state in seconds.
High-intent search queries and answers about installing and using this skill.
To troubleshoot messages not arriving, run a quick health scan checking running services, containers, and endpoint statuses, then follow the diagnostic decision tree to trace communication failures across the bridge, orchestrator, backend, and frontend.
The best way to read PM2 and orchestrator logs is to apply readability best practices that filter out noise, allowing you to extract actionable insights and identify whether silent failures or queue stalls originate in the bridge or backend systems.
Diagnose cross-system failures by running an end-to-end health snapshot to verify endpoint statuses, then use the decision tree to check for API timeouts, rate limits, or orchestrator stalls preventing the agent from responding.
To fix queue stalls and bridge errors, follow the recovery and escalation steps to perform service restarts, apply queue fixes, and run configuration checks across the orchestrator and backend to restore system operation.
Yes, the diagnostics workflow covers rate limits and API timeouts by providing step-by-step guidance for common failure modes, ensuring you can determine root causes across the bridge, orchestrator, OpenClaw, backend, and frontend.
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