convex-optimize

作者： get-convex

審計並優化現有的 Convex 應用程式：安全性、擴展性、升級與可觀測性。

npx skills add https://github.com/get-convex/agent-skills --skill convex-optimize
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Audit and optimize an existing Convex app

The remediation WORKFLOW for an existing app: open with a scored assessment, then act on it — upgrade stale components and set up observability — plan-then-confirm-then-apply. The assessment itself is delegated to launch-readiness (the findings-bus scorer); optimize's distinct value is the actions it takes on the result.

Workflow

  1. Detect the app: a convex/ directory, the schema, and whether it's an anonymous or cloud deployment.
  2. ASSESS via launch-readiness — one scored, deduped report across authz/reviewer/advisor/insights with an ordered fix plan. Do not re-run those passes by hand; optimize consumes launch-readiness's report rather than re-implementing the audit.
  3. UPGRADE: run check-updates against the pinned @convex-dev/* components and fold stale-component (staleness-class) findings into the same plan.
  4. OBSERVABILITY: if the readiness report flagged an observability gap (no prod error capture), offer to install sentinel.
  5. Present the combined prioritized plan — the launch-readiness score + the fix plan + upgrades + observability, security/data-loss first — and apply only on explicit confirmation, dispatching each fix to its fixCapability.
  6. After applying, re-run the launch-readiness assessment and show the score delta.

Rules

  • Read-only first. Present a plan and CONFIRM before changing any file.
  • Delegate the audit to launch-readiness (the findings-bus scorer); don't re-implement reviewer/advisor/insights inline — optimize's job is acting on the report (upgrades + observability), not re-scoring.
  • Prioritize security and data-loss risks above style, following launch-readiness's ordering.
  • Never auto-land changes on someone's existing prod app; re-assess after applying and show the score moved.

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