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Skills/waynesutton/convexskills/convex-component-authoring
convex-component-authoring logo

convex-component-authoring

waynesutton/convexskills
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Installation

npx skills add https://github.com/waynesutton/convexskills --skill convex-component-authoring

Summary

How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management

SKILL.md

Convex Component Authoring

Create self-contained, reusable Convex components with proper isolation, exports, and dependency management for sharing across projects.

Documentation Sources

Before implementing, do not assume; fetch the latest documentation:

  • Primary: https://docs.convex.dev/components
  • Component Authoring: https://docs.convex.dev/components/authoring
  • For broader context: https://docs.convex.dev/llms.txt

Instructions

What Are Convex Components?

Convex components are self-contained packages that include:

  • Database tables (isolated from the main app)
  • Functions (queries, mutations, actions)
  • TypeScript types and validators
  • Optional frontend hooks

Component Structure

my-convex-component/
├── package.json
├── tsconfig.json
├── README.md
├── src/
│   ├── index.ts           # Main exports
│   ├── component.ts       # Component definition
│   ├── schema.ts          # Component schema
│   └── functions/
│       ├── queries.ts
│       ├── mutations.ts
│       └── actions.ts
└── convex.config.ts       # Component configuration

Creating a Component

1. Component Configuration
// convex.config.ts
import { defineComponent } from "convex/server";

export default defineComponent("myComponent");
2. Component Schema
// src/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";

export default defineSchema({
  // Tables are isolated to this component
  items: defineTable({
    name: v.string(),
    data: v.any(),
    createdAt: v.number(),
  }).index("by_name", ["name"]),
  
  config: defineTable({
    key: v.string(),
    value: v.any(),
  }).index("by_key", ["key"]),
});
3. Component Definition
// src/component.ts
import { defineComponent, ComponentDefinition } from "convex/server";
import schema from "./schema";
import * as queries from "./functions/queries";
import * as mutations from "./functions/mutations";

const component = defineComponent("myComponent", {
  schema,
  functions: {
    ...queries,
    ...mutations,
  },
});

export default component;
4. Component Functions
// src/functions/queries.ts
import { query } from "../_generated/server";
import { v } from "convex/values";

export const list = query({
  args: {
    limit: v.optional(v.number()),
  },
  returns: v.array(v.object({
    _id: v.id("items"),
    name: v.string(),
    data: v.any(),
    createdAt: v.number(),
  })),
  handler: async (ctx, args) => {
    return await ctx.db
      .query("items")
      .order("desc")
      .take(args.limit ?? 10);
  },
});

export const get = query({
  args: { name: v.string() },
  returns: v.union(v.object({
    _id: v.id("items"),
    name: v.string(),
    data: v.any(),
  }), v.null()),
  handler: async (ctx, args) => {
    return await ctx.db
      .query("items")
      .withIndex("by_name", (q) => q.eq("name", args.name))
      .unique();
  },
});
// src/functions/mutations.ts
import { mutation } from "../_generated/server";
import { v } from "convex/values";

export const create = mutation({
  args: {
    name: v.string(),
    data: v.any(),
  },
  returns: v.id("items"),
  handler: async (ctx, args) => {
    return await ctx.db.insert("items", {
      name: args.name,
      data: args.data,
      createdAt: Date.now(),
    });
  },
});

export const update = mutation({
  args: {
    id: v.id("items"),
    data: v.any(),
  },
  returns: v.null(),
  handler: async (ctx, args) => {
    await ctx.db.patch(args.id, { data: args.data });
    return null;
  },
});

export const remove = mutation({
  args: { id: v.id("items") },
  returns: v.null(),
  handler: async (ctx, args) => {
    await ctx.db.delete(args.id);
    return null;
  },
});
5. Main Exports
// src/index.ts
export { default as component } from "./component";
export * from "./functions/queries";
export * from "./functions/mutations";

// Export types for consumers
export type { Id } from "./_generated/dataModel";

Using a Component

// In the consuming app's convex/convex.config.ts
import { defineApp } from "convex/server";
import myComponent from "my-convex-component";

const app = defineApp();

app.use(myComponent, { name: "myComponent" });

export default app;
// In the consuming app's code
import { useQuery, useMutation } from "convex/react";
import { api } from "../convex/_generated/api";

function MyApp() {
  // Access component functions through the app's API
  const items = useQuery(api.myComponent.list, { limit: 10 });
  const createItem = useMutation(api.myComponent.create);
  
  return (
    <div>
      {items?.map((item) => (
        <div key={item._id}>{item.name}</div>
      ))}
      <button onClick={() => createItem({ name: "New", data: {} })}>
        Add Item
      </button>
    </div>
  );
}

Component Configuration Options

// convex/convex.config.ts
import { defineApp } from "convex/server";
import myComponent from "my-convex-component";

const app = defineApp();

// Basic usage
app.use(myComponent);

// With custom name
app.use(myComponent, { name: "customName" });

// Multiple instances
app.use(myComponent, { name: "instance1" });
app.use(myComponent, { name: "instance2" });

export default app;

Providing Component Hooks

// src/hooks.ts
import { useQuery, useMutation } from "convex/react";
import { FunctionReference } from "convex/server";

// Type-safe hooks for component consumers
export function useMyComponent(api: {
  list: FunctionReference<"query">;
  create: FunctionReference<"mutation">;
}) {
  const items = useQuery(api.list, {});
  const createItem = useMutation(api.create);
  
  return {
    items,
    createItem,
    isLoading: items === undefined,
  };
}

Publishing a Component

package.json
{
  "name": "my-convex-component",
  "version": "1.0.0",
  "description": "A reusable Convex component",
  "main": "dist/index.js",
  "types": "dist/index.d.ts",
  "files": [
    "dist",
    "convex.config.ts"
  ],
  "scripts": {
    "build": "tsc",
    "prepublishOnly": "npm run build"
  },
  "peerDependencies": {
    "convex": "^1.0.0"
  },
  "devDependencies": {
    "convex": "^1.17.0",
    "typescript": "^5.0.0"
  },
  "keywords": [
    "convex",
    "component"
  ]
}
tsconfig.json
{
  "compilerOptions": {
    "target": "ES2020",
    "module": "ESNext",
    "moduleResolution": "bundler",
    "declaration": true,
    "outDir": "dist",
    "strict": true,
    "esModuleInterop": true,
    "skipLibCheck": true
  },
  "include": ["src/**/*"],
  "exclude": ["node_modules", "dist"]
}

Examples

Rate Limiter Component

// rate-limiter/src/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";

export default defineSchema({
  requests: defineTable({
    key: v.string(),
    timestamp: v.number(),
  })
    .index("by_key", ["key"])
    .index("by_key_and_time", ["key", "timestamp"]),
});
// rate-limiter/src/functions/mutations.ts
import { mutation } from "../_generated/server";
import { v } from "convex/values";

export const checkLimit = mutation({
  args: {
    key: v.string(),
    limit: v.number(),
    windowMs: v.number(),
  },
  returns: v.object({
    allowed: v.boolean(),
    remaining: v.number(),
    resetAt: v.number(),
  }),
  handler: async (ctx, args) => {
    const now = Date.now();
    const windowStart = now - args.windowMs;
    
    // Clean old entries
    const oldEntries = await ctx.db
      .query("requests")
      .withIndex("by_key_and_time", (q) => 
        q.eq("key", args.key).lt("timestamp", windowStart)
      )
      .collect();
    
    for (const entry of oldEntries) {
      await ctx.db.delete(entry._id);
    }
    
    // Count current window
    const currentRequests = await ctx.db
      .query("requests")
      .withIndex("by_key", (q) => q.eq("key", args.key))
      .collect();
    
    const remaining = Math.max(0, args.limit - currentRequests.length);
    const allowed = remaining > 0;
    
    if (allowed) {
      await ctx.db.insert("requests", {
        key: args.key,
        timestamp: now,
      });
    }
    
    const oldestRequest = currentRequests[0];
    const resetAt = oldestRequest 
      ? oldestRequest.timestamp + args.windowMs 
      : now + args.windowMs;
    
    return { allowed, remaining: remaining - (allowed ? 1 : 0), resetAt };
  },
});
// Usage in consuming app
import { useMutation } from "convex/react";
import { api } from "../convex/_generated/api";

function useRateLimitedAction() {
  const checkLimit = useMutation(api.rateLimiter.checkLimit);
  
  return async (action: () => Promise<void>) => {
    const result = await checkLimit({
      key: "user-action",
      limit: 10,
      windowMs: 60000,
    });
    
    if (!result.allowed) {
      throw new Error(`Rate limited. Try again at ${new Date(result.resetAt)}`);
    }
    
    await action();
  };
}

Best Practices

  • Never run npx convex deploy unless explicitly instructed
  • Never run any git commands unless explicitly instructed
  • Keep component tables isolated (don't reference main app tables)
  • Export clear TypeScript types for consumers
  • Document all public functions and their arguments
  • Use semantic versioning for component releases
  • Include comprehensive README with examples
  • Test components in isolation before publishing

Common Pitfalls

  1. Cross-referencing tables - Component tables should be self-contained
  2. Missing type exports - Export all necessary types
  3. Hardcoded configuration - Use component options for customization
  4. No versioning - Follow semantic versioning
  5. Poor documentation - Document all public APIs

References

  • Convex Documentation: https://docs.convex.dev/
  • Convex LLMs.txt: https://docs.convex.dev/llms.txt
  • Components: https://docs.convex.dev/components
  • Component Authoring: https://docs.convex.dev/components/authoring

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,008 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Convex Component Authoring skill score badge previewScore badge

Markdown

[![Convex Component Authoring skill](https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-component-authoring/badges/score.svg)](https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-component-authoring)

HTML

<a href="https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-component-authoring"><img src="https://www.claudemarket.ai/skills/waynesutton/convexskills/convex-component-authoring/badges/score.svg" alt="Convex Component Authoring skill"/></a>

Convex Component Authoring FAQ

How do I install the Convex Component Authoring skill?

Run “npx skills add https://github.com/waynesutton/convexskills --skill convex-component-authoring” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Convex Component Authoring skill do?

How to create, structure, and publish self-contained Convex components with proper isolation, exports, and dependency management The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Convex Component Authoring skill free?

Yes. Convex Component Authoring is a free, open-source skill published from waynesutton/convexskills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Convex Component Authoring work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Convex Component Authoring works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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