Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
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Build reactive backends with Convex functions, schema validation, auth integration, and deployment workflows. Use when building real-time apps with type-safe server functions and automatic caching.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Use Convex to build type-safe backend logic with realtime data sync.
Use this skill when:
# Initialize Convex in an existing project
npm install convex
npx convex dev # Start local development (syncs with cloud)
# In a new project
npm create convex@latest
// convex/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
users: defineTable({
name: v.string(),
email: v.string(),
role: v.union(v.literal("admin"), v.literal("member")),
avatarUrl: v.optional(v.string()),
createdAt: v.number(),
})
.index("by_email", ["email"])
.index("by_role", ["role"]),
messages: defineTable({
userId: v.id("users"),
channelId: v.id("channels"),
body: v.string(),
attachments: v.optional(v.array(v.string())),
createdAt: v.number(),
})
.index("by_channel", ["channelId", "createdAt"])
.index("by_user", ["userId"]),
channels: defineTable({
name: v.string(),
description: v.optional(v.string()),
isPrivate: v.boolean(),
}),
});
// convex/messages.ts
import { query } from "./_generated/server";
import { v } from "convex/values";
export const listByChannel = query({
args: {
channelId: v.id("channels"),
limit: v.optional(v.number()),
},
handler: async (ctx, args) => {
const messages = await ctx.db
.query("messages")
.withIndex("by_channel", (q) => q.eq("channelId", args.channelId))
.order("desc")
.take(args.limit ?? 50);
// Resolve user data for each message
return Promise.all(
messages.map(async (msg) => {
const user = await ctx.db.get(msg.userId);
return { ...msg, user: user ? { name: user.name, avatarUrl: user.avatarUrl } : null };
})
);
},
});
// convex/messages.ts
import { mutation } from "./_generated/server";
import { v } from "convex/values";
export const send = mutation({
args: {
channelId: v.id("channels"),
body: v.string(),
},
handler: async (ctx, args) => {
const identity = await ctx.auth.getUserIdentity();
if (!identity) throw new Error("Not authenticated");
// Find or create user
const user = await ctx.db
.query("users")
.withIndex("by_email", (q) => q.eq("email", identity.email!))
.unique();
if (!user) throw new Error("User not found");
return await ctx.db.insert("messages", {
userId: user._id,
channelId: args.channelId,
body: args.body,
createdAt: Date.now(),
});
},
});
// convex/ai.ts
import { action } from "./_generated/server";
import { v } from "convex/values";
import { api } from "./_generated/api";
export const generateResponse = action({
args: { prompt: v.string(), channelId: v.id("channels") },
handler: async (ctx, args) => {
// Call external AI API
const response = await fetch("https://api.anthropic.com/v1/messages", {
method: "POST",
headers: {
"Content-Type": "application/json",
"x-api-key": process.env.ANTHROPIC_API_KEY!,
"anthropic-version": "2023-06-01",
},
body: JSON.stringify({
model: "claude-sonnet-4-6",
max_tokens: 1024,
messages: [{ role: "user", content: args.prompt }],
}),
});
const data = await response.json();
const aiMessage = data.content[0].text;
// Save AI response as a message via mutation
await ctx.runMutation(api.messages.send, {
channelId: args.channelId,
body: aiMessage,
});
return aiMessage;
},
});
// convex/crons.ts
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
const crons = cronJobs();
// Run every hour
crons.interval("cleanup old messages", { hours: 1 }, internal.maintenance.cleanupOldMessages);
// Run daily at midnight UTC
crons.cron("daily report", "0 0 * * *", internal.reports.generateDailyReport);
export default crons;
// convex/auth.config.ts
export default {
providers: [
{
domain: process.env.AUTH_DOMAIN,
applicationID: "convex",
},
],
};
// React client setup
import { ConvexProviderWithClerk } from "convex/react-clerk";
import { ClerkProvider, useAuth } from "@clerk/clerk-react";
function App() {
return (
<ClerkProvider publishableKey={CLERK_KEY}>
<ConvexProviderWithClerk client={convex} useAuth={useAuth}>
<MyApp />
</ConvexProviderWithClerk>
</ClerkProvider>
);
}
// src/components/Chat.tsx
import { useQuery, useMutation } from "convex/react";
import { api } from "../convex/_generated/api";
export function Chat({ channelId }: { channelId: string }) {
// Real-time query — auto-updates when data changes
const messages = useQuery(api.messages.listByChannel, { channelId });
const sendMessage = useMutation(api.messages.send);
const handleSend = async (body: string) => {
await sendMessage({ channelId, body });
};
if (messages === undefined) return <div>Loading...</div>;
return (
<div>
{messages.map((msg) => (
<div key={msg._id}>
<strong>{msg.user?.name}</strong>: {msg.body}
</div>
))}
</div>
);
}
# Deploy to production
npx convex deploy
# Deploy with environment variables
npx convex deploy --env-file .env.production
# Set environment variables
npx convex env set ANTHROPIC_API_KEY sk-ant-...
npx convex env list
# View logs
npx convex logs
npx convex logs --follow
# Run a function manually
npx convex run messages:listByChannel '{"channelId": "abc123"}'
// convex/files.ts
import { mutation, query } from "./_generated/server";
import { v } from "convex/values";
export const generateUploadUrl = mutation(async (ctx) => {
return await ctx.storage.generateUploadUrl();
});
export const getFileUrl = query({
args: { storageId: v.id("_storage") },
handler: async (ctx, args) => {
return await ctx.storage.getUrl(args.storageId);
},
});
internal functions for server-only logic (crons, webhooks)| Issue | Solution |
|---|---|
| Function timeout | Actions have 10min limit; break into smaller steps |
| Query too slow | Add database index matching your query pattern |
| Type errors | Run npx convex dev to regenerate types |
| Auth not working | Check auth.config.ts and provider domain |
| Deploy fails | Check npx convex logs, verify env vars are set |
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Conduct periodic access reviews and certifications. Implement access governance and recertification workflows. Use when managing access compliance.
中文简介正在准备中。当前显示原文说明。
Build automated evaluation suites for AI agents using golden datasets, rubrics, and regression gates. Use when shipping agent features, validating prompt changes, or gating deployments on quality.
中文简介正在准备中。当前显示原文说明。
Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.
中文简介正在准备中。当前显示原文说明。
Secure AI agents against prompt injection, tool abuse, and data exfiltration with defense-in-depth controls. Use when building, deploying, or hardening agentic AI systems that invoke tools, access data, or interact with production infrastructure.
中文简介正在准备中。当前显示原文说明。
Secure AI coding agents (Claude Code, Cursor, Codex, Copilot) with permission boundaries, secret protection, code review gates, and safe sandbox configurations for team environments.
中文简介正在准备中。当前显示原文说明。
Use service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
中文简介正在准备中。当前显示原文说明。