mcpbeat Sign in

Convex Backend Skill for Claude

Convex backend development guidelines. Use when writing Convex functions, schemas, queries, mutations, actions, or any backend code in a Convex project. Triggers on tasks involving Convex database operations, real-time subscriptions, file storage, or serverless functions.

6k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1395
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/CloudAI-X/claude-workflow-v2 --skill convex-backend

The instruction itself

12 sections, as written by the author

Convex Backend Guidelines

When to Load

  • Trigger: Convex-specific development, writing Convex functions, schemas, queries, mutations, actions, or real-time subscriptions
  • Skip: Project does not use Convex as its backend

Comprehensive guide for building Convex backends with TypeScript. Covers function syntax, validators, schemas, queries, mutations, actions, scheduling, and file storage.

When to Apply

Reference these guidelines when:

  • Writing new Convex functions (queries, mutations, actions)
  • Defining database schemas and validators
  • Implementing real-time data fetching
  • Setting up cron jobs or scheduled functions
  • Working with file storage
  • Designing API structure

Rule Categories

| Category | Impact | Description |

| ----------------- | -------- | --------------------------------------------- |

| Function Syntax | CRITICAL | New function syntax with args/returns/handler |

| Validators | CRITICAL | Type-safe argument and return validation |

| Schema Design | HIGH | Table definitions, indexes, system fields |

| Query Patterns | HIGH | Efficient data fetching with indexes |

| Mutation Patterns | MEDIUM | Database writes, patch vs replace |

| Action Patterns | MEDIUM | External API calls, Node.js runtime |

| Scheduling | MEDIUM | Crons and delayed function execution |

| File Storage | LOW | Blob storage and metadata |

Quick Reference

Function Registration

// Public functions (exposed to clients)
import { query, mutation, action } from "./_generated/server";

// Internal functions (only callable from other Convex functions)
import {
  internalQuery,
  internalMutation,
  internalAction,
} from "./_generated/server";

Function Syntax (Always Use This)

export const myFunction = query({
  args: { name: v.string() },
  returns: v.string(),
  handler: async (ctx, args) => {
    return "Hello " + args.name;
  },
});

Common Validators

| Type | Validator | Example |

| -------- | --------------------------------- | ------------- |

| String | v.string() | "hello" |

| Number | v.number() | 3.14 |

| Boolean | v.boolean() | true |

| ID | v.id("tableName") | doc._id |

| Array | v.array(v.string()) | ["a", "b"] |

| Object | v.object({...}) | {name: "x"} |

| Optional | v.optional(v.string()) | undefined |

| Union | v.union(v.string(), v.number()) | "x" or 1 |

| Literal | v.literal("status") | "status" |

| Null | v.null() | null |

Function References

// Public functions
import { api } from "./_generated/api";
api.example.myQuery; // convex/example.ts → myQuery

// Internal functions
import { internal } from "./_generated/api";
internal.example.myInternalMutation;

Query with Index

// Schema
messages: defineTable({...}).index("by_channel", ["channelId"])

// Query
await ctx.db
  .query("messages")
  .withIndex("by_channel", (q) => q.eq("channelId", channelId))
  .order("desc")
  .take(10);

Key Rules

  • Always include args and returns validators on all functions
  • Use v.null() for void returns - never omit return validator
  • Use withIndex() not filter() - define indexes in schema
  • Use internalQuery/Mutation/Action for private functions
  • Actions cannot access ctx.db - use runQuery/runMutation instead
  • Include type annotations when calling functions in same file

Full Compiled Document

For the complete guide with all rules and detailed code examples, see AGENTS.md.

Other skills for the same job

different authors, same section of the catalogue
Bioservices
by christophacham
×3

Unified Python interface to 40+ bioinformatics services. Use when querying multiple databases (UniProt, KEGG, ChEMBL, Reactome) in a single workflow with consistent API. Best for cross-database analysis, ID mapping across services. For quick single-database lookups use gget; for sequence/file manipulation use biopython.

26k tokens scripts
Geopandas
by christophacham
×3

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

8k tokens
Gget
by christophacham
×3

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

25k tokens scripts
Uniprot Database
by christophacham
×3

Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.

12k tokens scripts
Uniprot Database
by ComeOnOliver
×3

Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.

15k tokens scripts
Bullmq Specialist
by ComeOnOliver
×2

BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.

2k tokens
Moodle External API Development
by ComeOnOliver
×2

Create custom external web service APIs for Moodle LMS. Use when implementing web services for course management, user tracking, quiz operations, or custom plugin functionality. Covers parameter validation, database operations, error handling, service registration, and Moodle coding standards.

9k tokens
Geopandas
by ComeOnOliver
×2

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between datasets, dissolving boundaries, clipping data, calculating areas/distances, reprojecting coordinate systems, creating maps, or converting between spatial file formats.

16k tokens

How to use it

Copy the folder

Take cloudai-x/convex-backend from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.