Suggests matching Convex components when code duplicates existing component functionality.
npx skills add https://github.com/openclaw/clawhub --skill convex-suggest
Please help me install this Agent Skill. Skill: convex-suggest Source: https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-suggest Command: npx skills add https://github.com/openclaw/clawhub --skill convex-suggest
Developers often hand-roll patterns like crons, rate limiters, counters, or search that Convex components already solve, wasting effort and introducing scaling bugs. This Skill passively detects those patterns and suggests the right component after the task is done.
post.likes + 1 under concurrent access, the Skill finishes your task, then suggests @convex-dev/sharded-counter and explains the OCC conflict risk in your own code.Ask the assistant to review your Convex backend code and suggest any existing components that could replace hand-rolled patterns.
High-intent search queries and answers about installing and using this skill.
The Skill matches your code against detector rules: setInterval or cron logic maps to @convex-dev/crons, shared counter increments to @convex-dev/sharded-counter, rate-limit counters to @convex-dev/rate-limiter, and external vector databases to @convex-dev/rag. It names one component and explains why it fits your code.
It passively observes your code and requests, finishes the current task first, then offers one suggestion quoting the triggering code. If you agree, it runs the install hint such as /add <component>; if you decline, it drops the suggestion permanently.
No. The Skill never installs anything without explicit consent. It suggests the component, explains the reasoning anchored in your code, and waits for a yes before running any install command.
Detection covers email/SMTP, push notifications, scheduled jobs, shared counters, aggregation scans, multi-step actions, bounded concurrency, rate limiting, file uploads, full-text search, presence indicators, vector search, and collaborative editing with prosemirror-sync.
It does not fire on generic coding questions unrelated to Convex, such as sorting arrays or writing CSS. It also skips components you have already installed and never repeats a suggestion you declined or ignored.
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