C

convex-optimize

by @convexv
4.6(120)

此技能对已有的 Convex 应用做一次带评分的全面体检(安全、扩展性、组件版本、可观测性),并据此自动升级过时组件、补齐线上错误监控。它把安全与数据丢失风险排在最前,先出方案再确认执行,最后复评展示分数变化,适合上线前或长期维护阶段使用。

convexauditobservabilitysecurityperformanceGitHub
安装方式
npx skills add https://github.com/convex/agent-skills --skill convex-optimize
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Before / After 效果对比

1 组
使用前

上线前要手工翻查鉴权、代码评审、顾问建议和运行时洞察四类问题,重复跑同一批检查,还得自己记住哪些组件版本过期、线上有没有错误捕获,常常漏项。

使用后

此技能一次产出带评分且去重的诊断报告,把安全与数据丢失风险排在最前,自动折叠过时组件与监控缺口,确认后逐项修复并复评展示分数变化。

SKILL.md

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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统计数据

安装量35.0K
评分4.6 / 5.0
版本
更新日期2026年10月23日
对比案例1 组

用户评分

4.6(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

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创建2026年10月17日
最后更新2026年10月23日
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