Convex Suggest

作者 get-convex2cfe645c87f9无许可证63 个星标收录于 2026年10月8日更新于 2026年10月8日仓库6天前更新

Suggest the matching Convex component when the user hand-rolls a pattern it already solves (crons, sharded-counter, rate-limiter, storage, search, presence, workflow, RAG, prosemirror-sync). Passive — suggest after the task, never interrupt. Never install without consent.

AI 生成的概览

当代码重复实现已有模式时,建议匹配的 Convex 组件,且不打断当前任务。

功能
该技能会观察代码和用户请求,识别出已有 Convex 组件可以解决的模式,例如定时任务、分片计数器、限流、存储、搜索、在线状态、工作流、RAG 或协同编辑。在当前任务完成后,它会给出单条建议,指明组件名称、引用触发该建议的代码或语句,并说明该组件为何更合适。只有在用户明确同意后才会进行安装;如果用户拒绝或忽略,建议即被放弃。
适用场景
适用于处理 Convex 代码或请求时,用户似乎在自行实现已有 Convex 组件所提供的功能。它设计为在任务进行中被动运行,并在任务结束后给出单条建议,而不是打断或阻塞工作。
运行要求
无需脚本或特殊工具,仅为指令型技能。它假定处于 Convex 项目环境,并引用安装命令和检测规则,但除智能体本身外不需要凭据或网络访问。
<!-- GENERATED from convex-agents content/capabilities/suggest.json — do not edit by hand. -->

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.).

来源与署名

来源:get-convex/agent-skills位于skills/convex-suggest提交2cfe645

许可证: 无许可证

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