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在 OpenClaw 中安装
/install workload-scheduler
功能描述
Selects appropriate workload templates from the pool based on available system capacity
使用说明 (SKILL.md)
负载调度器
概述
接收容量监控器的空闲容量报告，从负载模板池中选择适合当前容量的任务进行调度。优先选择优先级高且资源需求匹配的模板，最大化资源利用率。
使用场景
- 资源利用最大化：在空闲容量充足时运行辅助任务
- 智能排程：基于可用资源自动选择合适的工作负载
- 负载管理：确保不超过系统容量上限
调度规则
- 读取所有负载模板及其资源需求。
- 过滤出资源需求不超过空闲容量的模板。
- 按优先级和资源匹配度排序选择。
- 生成调度计划。
使用方法
- 接收容量监控报告获取空闲容量。
- 从模板目录读取负载模板配置。
- 过滤和排序可选负载模板。
- 输出调度计划 JSON。
输出格式
{
"schedule_timestamp": "2026-06-01T12:00:05",
"capacity": {"cpu_percent_idle": 75.0, "memory_mb_available": 4096},
"scheduled_tasks": ["log-rotate", "analytics-aggregation"],
"status": "completed"
}
实现代码
见 scripts/schedule.py。
安全使用建议
Install only if you want agent help with ClawHub/Convex development and maintenance workflows. Before using the moderation, proof publishing, migration, or autoreview helper paths, review the exact command because they can modify services, publish PR artifacts, run local project code, or send diffs to configured reviewer CLIs; use the autoreview --no-yolo option if you do not want the nested review to bypass sandbox approvals.
能力评估
Purpose & Capability
The skills cover Convex setup, auth, migrations, performance review, ClawHub PR maintenance, UI proof, moderation, and autoreview; higher-impact actions such as moderation changes, migrations, proof publishing, and code review commands are aligned with those stated purposes.
Instruction Scope
Runtime instructions are mostly scoped and user-directed, including explicit target and confirmation requirements for moderation writes; the autoreview helper discloses that it defaults to a full-access nested Codex review and provides a --no-yolo opt-out.
Install Mechanism
The inspected skill files and agent YAML do not show hidden install hooks, obfuscated setup, or automatic persistence; package-level scripts seen in the workspace are ordinary development/build/test commands.
Credentials
Use of gh, git, bun/npm/npx, Convex, local dev servers, and external reviewer CLIs is proportionate for the documented maintainer, proof, setup, and review workflows, but users should expect local code execution and external service access when invoking those paths.
Persistence & Privilege
No hidden background persistence was found; long-running Convex/dev proof processes are disclosed as workflow steps, and elevated review privileges are disclosed rather than concealed.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install workload-scheduler - 安装完成后，直接呼叫该 Skill 的名称或使用
/workload-scheduler触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of workload-scheduler.
- Selects workload templates based on available system capacity.
- Prioritizes tasks by resource requirements and priority to maximize utilization.
- Automatically creates a schedule plan in JSON output.
- Designed for scenarios needing resource optimization and intelligent workload management.
元数据
常见问题
Workload Scheduler 是什么？
Selects appropriate workload templates from the pool based on available system capacity. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 50 次。
如何安装 Workload Scheduler？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install workload-scheduler」即可一键安装，无需额外配置。
Workload Scheduler 是免费的吗？
是的，Workload Scheduler 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Workload Scheduler 支持哪些平台？
Workload Scheduler 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Workload Scheduler？
由 InkLin（@ink5725）开发并维护，当前版本 v1.0.0。
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