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.

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.

Shared Collaboration Contract

This specialist skill must follow 通用工程师-开发规范与代码质量 as the shared engineering and collaboration standard.

Before and during work:

• Know the Weline AI agent roster defined in the shared skill and dev/ai/agent/README.md.
• Keep work inside this specialist's ownership boundary.
• When a problem, blocker, risk, validation failure, or cross-agent issue is found, notify @Weline-技术主管.
• Do not silently expand scope to fix another agent's area.
• Include collaboration status in the final report.