Parallel Dispatch

并行调度多个独立或依赖任务，支持多线程/多进程执行、结果聚合和异常处理，提升任务执行效率。

This skill is coherent and appears to be an instruction template rather than runnable code. Before installing and using it: 1) Understand that SKILL.md expects your runtime/agent to provide implementations for helpers like execute_task, build_dependency_graph, and Invoke-Task — review or implement those safely. 2) Limit what 'tasks' can do (avoid allowing untrusted inputs to become shell commands); sandbox or restrict task actions, set timeouts and resource limits. 3) Verify config.json values (max_parallel_tasks, timeouts) to avoid resource exhaustion. 4) Test with harmless tasks first to confirm behavior. 5) If you will run tasks that perform I/O or network access, audit and control those actions (the skill itself does not include network endpoints but task implementations might).

Type: OpenClaw Skill Name: parallel-dispatch Version: 1.0.0 The 'parallel-dispatch' skill is a utility designed to improve task execution efficiency through parallelization. It contains standard Python (ThreadPoolExecutor) and PowerShell (Runspaces, ForEach-Object -Parallel) implementations for scheduling independent or batch tasks. The logic focuses on dependency analysis, timeout management, and performance optimization without any indicators of data exfiltration, unauthorized execution, or malicious prompt injection in SKILL.md.