菜单
Use for delivering a LawnBerry Pi code change with re-entry, scoped investigation, safe implementation, maintainer doc sync, and targeted validation. Covers general backend/frontend work plus hardware-aware guardrails when the change is safety sensitive.
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基于 SOC 职业分类
Use for LawnBerry Pi simulation vs real-hardware validation. Covers SIM_MODE selection, .env and config checks, simulation-safe test-first workflow, hardware preflight expectations, and avoiding false claims that local success proves on-device behavior.
Use for improving LawnBerry Pi AI result quality without breaking the existing backend contract. Covers ai_service review, model artifact or rule improvement, conservative evaluation, performance notes, and avoiding premature accelerator-specific churn.
Review regression-sensitive LawnBerry Pi manual control and camera paths: RoboHAT USB handoff, watchdog feeding, motor authorization, joystick responsiveness, MJPEG and snapshot fallback, camera ownership, and stream backpressure handling.
Keep LawnBerry Pi maintainer documentation synchronized with implementation. Use when runtime behavior, supported hardware scope, subsystem maturity, immediate focus, two-week plan, release notes, or callable interfaces have changed and docs must be updated in the same pass.
Use when returning to LawnBerry Pi after time away, starting substantial maintenance, or needing a fast project re-entry workflow. Covers docs to read first, runtime ports, hardware baseline, simulation vs hardware mode, important files by task, and validation planning.
Use when a LawnBerry Pi task spans re-entry, specialist routing, implementation, documentation sync, and validation. Covers choosing the right specialist workflow and sequencing investigation, changes, doc updates, and test planning.
| name | safe-change-delivery |
| description | Use for delivering a LawnBerry Pi code change with re-entry, scoped investigation, safe implementation, maintainer doc sync, and targeted validation. Covers general backend/frontend work plus hardware-aware guardrails when the change is safety sensitive. |
| argument-hint | What change should be delivered safely end-to-end? |
| user-invocable | true |
This skill turns a change request into a disciplined end-to-end workflow: re-enter, investigate, implement, sync docs, validate, and report honestly.
maintainer-reentry and classify the change as simulation-safe or hardware-sensitive.sim-hardware-validationcontrol-camera-regression-reviewnavigation-hardening-passmission-recovery-passai-model-quality-passmaintainer-doc-sync if behavior, maturity, hardware scope, or interfaces changed.