Convex Suggest

作者 get-convex2cfe645c87f9無授權條款63 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫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 產生的概覽

當程式碼重複實作現有模式時,建議相符的 Convex 元件,且不打斷目前工作。

功能
此技能會觀察程式碼與使用者請求,找出已有 Convex 元件可解決的模式,例如排程工作、分片計數器、限流、儲存、搜尋、線上狀態、工作流程、RAG 或協同編輯。在目前工作完成後,它會提出單一建議,指出元件名稱、引用觸發建議的程式碼或語句,並說明該元件為何更合適。只有在使用者明確同意後才會進行安裝;若使用者拒絕或忽略,建議即會放棄。
適用情境
適用於處理 Convex 程式碼或請求時,使用者似乎自行實作已有 Convex 元件所提供的功能。它的設計是在工作進行中被動執行,並在工作結束後提出單一建議,而不是打斷或阻擋工作。
執行需求
不需要指令碼或特殊工具,僅為指示型技能。它假定處於 Convex 專案環境,並引用安裝指令與偵測規則,但除代理本身外不需要憑證或網路存取。
<!-- 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.).

來源與署名

來源:get-convex/agent-skills位於skills/convex-suggest提交2cfe645

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