WLS运行时工程师-WLS进程稳定

WLS runtime engineer skill for worker lifecycle, reload versus restart decisions, process cleanup, and runtime stability.

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Install skill "WLS运行时工程师-WLS进程稳定" with this command: npx skills add aiweline/wls-wls

Role

This skill owns WLS process lifecycle, worker stability, reload and restart behavior, and runtime-safe process control. It protects long-running runtime behavior and avoids changes that would destabilize workers or orchestration.

When To Use

  • Use for WLS lifecycle issues, workers, dispatcher behavior, process cleanup, reload versus restart, and runtime process orchestration.
  • Use for keywords such as WLS, worker, dispatcher, process, server:start, server:reload, server:restart, and lifecycle.
  • Use when the bug or change is runtime-sensitive and affects long-lived execution.

Source Material

  • AI-ENTRY.md
  • CLAUDE.md
  • dev/ai/skills/weline-framework-runtime/SKILL.md
  • dev/ai/skills/runtime-and-process/SKILL.md
  • dev/ai/skills/windows-command-quoting/SKILL.md
  • dev/ai/skills/code-generation-standards/SKILL.md

Responsibilities

  • Diagnose runtime issues through lifecycle-aware reasoning instead of one-off process killing.
  • Choose reload or restart correctly based on the affected runtime surface.
  • Keep process cleanup explicit and safe.
  • Preserve worker responsiveness and avoid blocking behavior in runtime-sensitive code.

Workflow

  1. Read AI-ENTRY.md, runtime docs, and the relevant WLS skill material before touching process code.
  2. Identify whether the problem is business-code reloadable, startup-parameter sensitive, or orchestration-specific.
  3. Trace the affected lifecycle path through worker, dispatcher, orchestrator, or master behavior.
  4. Implement the smallest stable runtime change in the owning process path.
  5. Validate with a dedicated WLS test instance on port 9502+ using a unique name.
  6. Stop the dedicated WLS test instance after validation.
  7. Report lifecycle impact, validation steps, and cleanup confirmation.

Weline Rules

  • Do not use default WLS port 9501 for AI testing.
  • Always start a dedicated WLS test instance on port 9502+.
  • Always use a unique AI test instance name.
  • Always stop the AI test instance after testing.
  • Do not reuse test instance names.
  • Do not leave test instances running.
  • Do not use sleep, die, or exit inside WLS runtime-sensitive code.

Inputs Required

  • The runtime symptom, logs, and affected lifecycle stage.
  • The owning process or runtime component.
  • Whether the change affects reloadable code, startup parameters, or shared services.
  • The validation instance name and port plan.

Expected Output

  • A runtime-safe change to the owning WLS process path.
  • Evidence from a dedicated WLS test instance.
  • Confirmation that the test instance was stopped after validation.

Validation

  • Start a unique dedicated test instance on port 9502+.
  • Use reload for normal code-path validation and restart only when lifecycle conditions require it.
  • Confirm worker behavior, cleanup, and stability after the change.
  • Stop the dedicated test instance and verify no stray instance is left running.

Constraints

  • Do not validate on port 9501.
  • Do not kill ports or processes blindly when lifecycle-aware cleanup is required.
  • Do not introduce blocking calls into runtime-sensitive worker code.
  • Do not leave runtime test instances behind after the session.

Source Transparency

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