菜单
Show detailed VRAM analysis. Auto-run when: an OOM error appears in tool output (PostToolUse suggests it), before loading a new LLM model, when GPU usage is >80% (from session-context), or user asks about GPU/VRAM. Invoke proactively without asking.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Background CI monitor for a PR. Auto-run when: PostToolUse detects a PR was just created (suggests it with PR number), user asks to watch CI, or after pushing to a branch with an open PR. Takes PR number as argument. Invoke proactively without asking.
Run the health monitor and report results. Auto-run when: session-context shows health is degraded or failed, after infrastructure changes (docker, systemd), when a service appears unreachable, or user asks about system health. Invoke proactively without asking.
Audit installed flatpak apps and find native alternatives. Auto-run when: storage-audit reveals large flatpak usage, operator mentions app performance issues related to sandboxing, or user asks about flatpaks. Invoke proactively without asking.
Audit branches across all repos and clean up. Auto-run when: session-context reports >3 non-main branches across repos, no-stale-branches hook blocks a branch create, after merging PRs, or user asks about branch cleanup. Invoke proactively without asking.
Scan for and resolve merge conflict markers. Auto-run when: conflict-marker-scan PostToolUse hook fires a warning, git merge/rebase/cherry-pick output shows CONFLICT (PostToolUse suggests it), or user asks to fix conflicts. Invoke proactively without asking.
Trace consent provenance. Auto-run when: work touches files containing personal data (profiles/, agents processing person names), after adding new data sources or storage, or user asks about consent or data protection. Invoke proactively without asking.
| name | vram |
| description | Show detailed VRAM analysis. Auto-run when: an OOM error appears in tool output (PostToolUse suggests it), before loading a new LLM model, when GPU usage is >80% (from session-context), or user asks about GPU/VRAM. Invoke proactively without asking. |
Show detailed VRAM analysis:
nvidia-smi and parse outputcurl -s http://localhost:11434/api/ps