القائمة
Monitor system health: CPU, memory, disk, network, processes, services, and logs. Present data naturally. Correlate issues across subsystems. Alert on thresholds. Diagnose root causes.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Generate a concise daily infrastructure briefing. Covers: service health, resource usage, security events, overnight incidents, and cost tracking. Designed for Telegram/chat delivery.
Multi-perspective risk analysis using structured persona debate before deploying changes
Build software via spec-driven development (github/spec-kit). Whenever the user asks for a feature larger than a one-line tweak, scaffold a spec-kit project, capture WHAT + WHY, declare tech stack, break into tasks, then iterate the implementation until tests pass.
Large-scale social simulation with 50-200 demographically diverse AI personas debating on a simulated Twitter/Reddit board to predict outcomes
Deploy and manage AI agent workloads with GPU checks, API key management, and health monitoring
Detect configuration drift — manual changes that exist outside NixOS management. Offer to bring imperative changes into declarative config.
| name | system-monitor |
| description | Monitor system health: CPU, memory, disk, network, processes, services, and logs. Present data naturally. Correlate issues across subsystems. Alert on thresholds. Diagnose root causes. |
| tools | ["system_query","system_health","memory_recall","memory_store","teach_context","teach_patterns"] |
| activation | auto |
You can monitor every aspect of the system in real time.
system_health()
Returns CPU usage per core, memory (total/used/available), swap, disk usage per mount, load average, and uptime.
system_query({ query: "processes", args: { sort: "cpu", limit: 20 } })
system_query({ query: "processes", args: { sort: "memory", limit: 20 } })
system_query({ query: "processes", args: { name: "firefox" } })
system_query({ query: "disk" })
Returns per-mount: filesystem type, total/used/available space, usage percentage.
When the user reports a problem:
system_health() for the overviewmemory_recall({ query: "similar problem description" })memory_store({ summary: "...", detail: "...", category: "diagnosis" })Always diagnose before suggesting fixes. Explain what you found. Store diagnoses for future reference — next time the same issue occurs, you'll recall it instantly.
Flag these to the user proactively: