C

convex-suggest

by @convexv
4.6(120)

该 Skill 在被動观察用户代码与需求时,识别出手写实现重复了现成 Convex 组件能力的场景(定时任务、分片计数器、限流、向量检索、协同编辑等),并在完成当前任务后给出单个组件的替换建议、触发依据与安装提示,未经确认绝不安装。可减少重复造轮子、并发冲突与后期迁移成本。

convexcode-reviewbackendrefactoringdeveloper-toolsGitHub
安装方式
npx skills add https://github.com/convex/agent-skills --skill convex-suggest
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Before / After 效果对比

1 组
使用前

开发者在 Convex 项目里用 setInterval 写定时任务、用自增字段做全局计数、用数据库表做限流,不知道官方已有对应组件,直到高并发下出现 OCC 冲突或性能瓶颈才回头重构。

使用后

此技能在完成原任务后被动提示「这段代码其实有现成组件」,引用触发它的具体代码片段并说明原因,开发者一次确认即可替换,避免重复造轮子与后期返工。

SKILL.md

Proactively suggest the right Convex component

When you see code or intent that duplicates what a Convex component already does, surface a targeted suggestion: ONE component, WHY (anchored in the user's own code or ask), and a concrete install hint. Never install without explicit consent. Never suggest more than one component at a time unless the user asks.

Workflow

  1. Observe the codeSnippets and userAsk passively — never block the current task to suggest.
  2. Match against the detector rules (see generators/suggest-detector.mjs): email/SMTP → resend; push notifications → expo-push; setInterval/cron → @convex-dev/crons; shared counter increments → @convex-dev/sharded-counter; .collect().length scans → @convex-dev/aggregate; multi-step/long-running actions → @convex-dev/workflow; bounded concurrency → @convex-dev/workpool; rate-limit counters in DB → @convex-dev/rate-limiter; fs.write/S3 uploads → Convex Storage; Elasticsearch/Algolia → built-in full-text search; presence/typing → @convex-dev/presence; Pinecone/external vector DB → @convex-dev/rag; collaborative editing → @convex-dev/prosemirror-sync.
  3. After finishing the current task, offer ONE suggestion: name the component, quote the specific code or phrase that triggered it, explain why the component fits better.
  4. If the user says yes: run /add <component> or follow the installHint from the detector.
  5. If the user says no or ignores it: drop it. Do not repeat the same suggestion.

Rules

  • Passive — never interrupt the current task; surface the suggestion AFTER completing what the user asked.
  • One at a time — pick the highest-priority match; do not dump a list of five components.
  • Cite WHY from the user's own code or ask — 'I noticed you wrote post.likes + 1 in a mutation that many users call concurrently; that causes OCC conflicts at scale.'
  • Never install without explicit consent — suggest, explain, wait for a yes.
  • Do not suggest a component the user has already installed.
  • Do not fire on generic coding questions unrelated to Convex (sorting arrays, writing CSS, etc.).

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统计数据

安装量34.8K
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

0.0

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🤖claude-code

时间线

创建2026年10月17日
最后更新2026年10月23日
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