# Convex Suggest

Suggest the matching Convex component when the user hand-rolls a pattern it already...

- Repository: https://github.com/openclaw/clawhub (9543 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add openclaw/clawhub --skill convex-suggest -g -a claude-code -y`
Codex: `npx skills add openclaw/clawhub --skill convex-suggest -g -a codex -y`
Cursor: `npx skills add openclaw/clawhub --skill convex-suggest -g -a cursor -y`
Gemini CLI: `npx skills add openclaw/clawhub --skill convex-suggest -g -a gemini-cli -y`

## 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, prosemirror-sync). Passive, suggest after the task, never interrupt. Never install without consent.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

<!-- 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

The rest: https://github.com/openclaw/clawhub/blob/HEAD/.agents/skills/convex-suggest/SKILL.md