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convex-create-component AI Agent Skill
View Source: get-convex/agent-skills
SafeInstallation
npx skills add get-convex/agent-skills --skill convex-create-component 23.3K
Installs
Convex Create Component
Create reusable Convex components with clear boundaries and a small app-facing API.
When to Use
- Creating a new Convex component in an existing app
- Extracting reusable backend logic into a component
- Building a third-party integration that should own its own tables and workflows
- Packaging Convex functionality for reuse across multiple apps
When Not to Use
- One-off business logic that belongs in the main app
- Thin utilities that do not need Convex tables or functions
- App-level orchestration that should stay in
convex/ - Cases where a normal TypeScript library is enough
Workflow
- Ask the user what they are building and what the end goal is. If the repo already makes the answer obvious, say so and confirm before proceeding.
- Choose the shape using the decision tree below and read the matching reference file.
- Decide whether a component is justified. Prefer normal app code or a regular library if the feature does not need isolated tables, backend functions, or reusable persistent state.
- Make a short plan for:
- what tables the component owns
- what public functions it exposes
- what data must be passed in from the app (auth, env vars, parent IDs)
- what stays in the app as wrappers or HTTP mounts
- Create the component structure with
convex.config.ts,schema.ts, and function files. - Implement functions using the component's own
./_generated/serverimports, not the app's generated files. - Wire the component into the app with
app.use(...). If the app does not already haveconvex/convex.config.ts, create it. - Call the component from the app through
components.<name>usingctx.runQuery,ctx.runMutation, orctx.runAction. - If React clients, HTTP callers, or public APIs need access, create wrapper functions in the app instead of exposing component functions directly.
- Run
npx convex devand fix codegen, type, or boundary issues before finishing.
Choose the Shape
Ask the user, then pick one path:
| Goal | Shape | Reference |
|---|---|---|
| Component for this app only | Local | references/local-components.md |
| Publish or share across apps | Packaged | references/packaged-components.md |
| User explicitly needs local + shared library code | Hybrid | references/hybrid-components.md |
| Not sure | Default to local | references/local-components.md |
Read exactly one reference file before proceeding.
Default Approach
Unless the user explicitly wants an npm package, default to a local component:
- Put it under
convex/components/<componentName>/ - Define it with
defineComponent(...)in its ownconvex.config.ts - Install it from the app's
convex/convex.config.tswithapp.use(...) - Let
npx convex devgenerate the component's own_generated/files
Component Skeleton
A minimal local component with a table and two functions, plus the app wiring.
// convex/components/notifications/convex.config.ts
import { defineComponent } from "convex/server";
export default defineComponent("notifications");// convex/components/notifications/schema.ts
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
notifications: defineTable({
userId: v.string(),
message: v.string(),
read: v.boolean(),
}).index("by_user", ["userId"]),
});// convex/components/notifications/lib.ts
import { v } from "convex/values";
import { mutation, query } from "./_generated/server.js";
export const send = mutation({
args: { userId: v.string(), message: v.string() },
returns: v.id("notifications"),
handler: async (ctx, args) => {
return await ctx.db.insert("notifications", {
userId: args.userId,
message: args.message,
read: false,
});
},
});
export const listUnread = query({
args: { userId: v.string() },
returns: v.array(
v.object({
_id: v.id("notifications"),
_creationTime: v.number(),
userId: v.string(),
message: v.string(),
read: v.boolean(),
}),
),
handler: async (ctx, args) => {
return await ctx.db
.query("notifications")
.withIndex("by_user", (q) => q.eq("userId", args.userId))
.filter((q) => q.eq(q.field("read"), false))
.collect();
},
});// convex/convex.config.ts
import { defineApp } from "convex/server";
import notifications from "./components/notifications/convex.config.js";
const app = defineApp();
app.use(notifications);
export default app;// convex/notifications.ts (app-side wrapper)
import { v } from "convex/values";
import { mutation, query } from "./_generated/server";
import { components } from "./_generated/api";
import { getAuthUserId } from "@convex-dev/auth/server";
export const sendNotification = mutation({
args: { message: v.string() },
returns: v.null(),
handler: async (ctx, args) => {
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
await ctx.runMutation(components.notifications.lib.send, {
userId,
message: args.message,
});
return null;
},
});
export const myUnread = query({
args: {},
handler: async (ctx) => {
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
return await ctx.runQuery(components.notifications.lib.listUnread, {
userId,
});
},
});Note the reference path shape: a function in convex/components/notifications/lib.ts is called as components.notifications.lib.send from the app.
Critical Rules
- Keep authentication in the app, because
ctx.authis not available inside components. - Keep environment access in the app, because component functions cannot read
process.env. - Pass parent app IDs across the boundary as strings, because
Idtypes become plain strings in the app-facingComponentApi. - Do not use
v.id("parentTable")for app-owned tables inside component args or schema, because the component has no access to the app's table namespace. - Import
query,mutation, andactionfrom the component's own./_generated/server, not the app's generated files. - Do not expose component functions directly to clients. Create app wrappers when client access is needed, because components are internal and need auth/env wiring the app provides.
- If the component defines HTTP handlers, mount the routes in the app's
convex/http.ts, because components cannot register their own HTTP routes. - If the component needs pagination, use
paginatorfromconvex-helpersinstead of built-in.paginate(), because.paginate()does not work across the component boundary. - Add
argsandreturnsvalidators to all public component functions, because the component boundary requires explicit type contracts.
Patterns
Authentication and environment access
// Bad: component code cannot rely on app auth or env
const identity = await ctx.auth.getUserIdentity();
const apiKey = process.env.OPENAI_API_KEY;// Good: the app resolves auth and env, then passes explicit values
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
await ctx.runAction(components.translator.translate, {
userId,
apiKey: process.env.OPENAI_API_KEY,
text: args.text,
});Client-facing API
// Bad: assuming a component function is directly callable by clients
export const send = components.notifications.send;// Good: re-export through an app mutation or query
export const sendNotification = mutation({
args: { message: v.string() },
returns: v.null(),
handler: async (ctx, args) => {
const userId = await getAuthUserId(ctx);
if (!userId) throw new Error("Not authenticated");
await ctx.runMutation(components.notifications.lib.send, {
userId,
message: args.message,
});
return null;
},
});IDs across the boundary
// Bad: parent app table IDs are not valid component validators
args: {
userId: v.id("users");
}// Good: treat parent-owned IDs as strings at the boundary
args: {
userId: v.string();
}Advanced Patterns
For additional patterns including function handles for callbacks, deriving validators from schema, static configuration with a globals table, and class-based client wrappers, see references/advanced-patterns.md.
Validation
Try validation in this order:
npx convex codegen --component-dir convex/components/<name>npx convex codegennpx convex dev
Important:
- Fresh repos may fail these commands until
CONVEX_DEPLOYMENTis configured. - Until codegen runs, component-local
./_generated/*imports and app-sidecomponents.<name>...references will not typecheck. - If validation blocks on Convex login or deployment setup, stop and ask the user for that exact step instead of guessing.
Reference Files
Read exactly one of these after the user confirms the goal:
references/local-components.mdreferences/packaged-components.mdreferences/hybrid-components.md
Official docs: Authoring Components
Checklist
- Asked the user what they want to build and confirmed the shape
- Read the matching reference file
- Confirmed a component is the right abstraction
- Planned tables, public API, boundaries, and app wrappers
- Component lives under
convex/components/<name>/(or package layout if publishing) - Component imports from its own
./_generated/server - Auth, env access, and HTTP routes stay in the app
- Parent app IDs cross the boundary as
v.string() - Public functions have
argsandreturnsvalidators - Ran
npx convex devand fixed codegen or type issues
Installs
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View Source
get-convex/agent-skills
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How to use this skill
Install convex-create-component by running npx skills add get-convex/agent-skills --skill convex-create-component in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of convex-create-component, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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