convex-suggest git:20261007.ab00264A

Immutable. This exact content never changes and is served at /api/v1/blob/bfcdae6b729169d0.

---
name: convex-suggest
description: 当用户手动实现 Convex 已有的模式时（定时任务、分片计数器、限流器、存储、搜索、在线状态、工作流、RAG），主动建议使用对应的 Convex 组件。被动触发，任务完成后才建议，不打断。
en_description: |-
  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). Passive — suggest after the task, never interrupt.
zh_displayName: Convex 组件建议
category: 后端与平台
en_category: Backend & Platform
---
<!-- 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.).