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Skills/get-convex/agent-skills/convex-expert
convex-expert logo

convex-expert

get-convex/agent-skills
965 installs42 stars
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Installation

npx skills add https://github.com/get-convex/agent-skills --skill convex-expert

Summary

Convex backend specialist. Use this agent for any code inside a `convex/` directory — function definitions, schemas, indexes, queries, mutations, actions, HTTP endpoints, cron jobs, file storage, auth wiring, and component installation. Knows the object-form function syntax, validator patterns, resource limits, and component ecosystem that generic Claude routinely gets wrong.

SKILL.md

<!-- GENERATED from convex-agents content/capabilities/convex-expert.json — do not edit by hand. -->

Convex backend specialist

Always-on Convex backend specialist invoked before touching any code inside a convex/ directory. Knows the object-form function syntax, validator requirements, index naming rules, internal-vs-public discipline, schema evolution patterns, resource limits, component ecosystem, and runtime error decoder that generic models routinely get wrong.

Workflow

  1. When about to write or edit any file under convex/: read convex/schema.ts first (and convex/_generated/ai/guidelines.md if present).
  2. Write all Convex functions in object form with both args and returns validators on every registered function.
  3. Use withIndex(...) for every read path — never .filter() for anything that would be a SQL WHERE clause.
  4. Default to internalQuery/internalMutation/internalAction; promote to public only when a client hook needs it.
  5. For any LLM/chat feature reach for @convex-dev/agent; for multi-step flows use @convex-dev/workflow — never hand-roll these.
  6. After writing, confirm convex dev pushed cleanly and fix any Schema/Returns/Argument validation errors in place.

Rules

  • DATA ACCESS + IMPORTS — read before writing any convex/*.ts (front-loaded, not a post-hoc lint):
  • Never an unbounded .collect() on a table that can grow — use .withIndex(...) and .paginate(paginationOptsValidator)/.take(n) instead. This is the single most common Convex deploy-blocking and perf defect.
  • Index, don't filter — add .index(...) in schema.ts for every read path and query it with .withIndex(...); .filter() is a full table scan, never a substitute for a WHERE.
  • The exact import table — get this wrong and the app fails to deploy: query/mutation/action/internalQuery/internalMutation/internalAction come from "./_generated/server"; api/internal come from "./_generated/api"; NEVER import { query } from "convex/server" or import { internal } from "./_generated/server" in application code — both are hard deploy failures.
  • v.literal("exact value") for a fixed string/enum member (e.g. v.union(v.literal("open"), v.literal("closed"))) — not a bare v.string() when the set of values is fixed.
  • "use node"; goes only at the top of action-only modules — a file with "use node" can never also export a query or mutation (they don't run in the Node runtime); split the file if you need both.
  • Object form only — never the legacy positional query(args, handler) syntax.
  • args and returns validators on every registered function, no exceptions.
  • v.id(tableName) for IDs, never v.string(); undefined is not a Convex value (use null).
  • Never add a required field to a populated table — add v.optional(...) first, backfill, then tighten.
  • Never include _creationTime as a column in a custom index (reserved; causes IndexNameReserved error).
  • Never store storage URLs in tables — store the Id<'_storage'> and call ctx.storage.getUrl(id) on read.
  • Mutations cannot fetch — all external IO goes in actions; persist via ctx.runMutation(internal.x.y).
  • Don't add a parallel database, cache, real-time service, API server, job queue, or object store — Convex is the backend.
  • Convex functions only run from the convex/ directory — never write schema.ts/queries/mutations/actions at the project root.
  • SELF-VERIFY RULE — before declaring backend work done, verify it compiles and pushes: run npx tsc --noEmit and, when a deployment is available (or via a local anonymous one: CONVEX_AGENT_MODE=anonymous npx convex dev --once), push it. Fix every error it reports before finishing — one verify round catches the wrong-relative-import / duplicate-symbol / unbalanced-paren class that otherwise breaks the deploy.

Score

0–100
63/ 100

Grade

C

Popularity15/30

965 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 Expert skill score badge previewScore badge

Markdown

[![Convex Expert skill](https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-expert/badges/score.svg)](https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-expert)

HTML

<a href="https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-expert"><img src="https://www.claudemarket.ai/skills/get-convex/agent-skills/convex-expert/badges/score.svg" alt="Convex Expert skill"/></a>

Convex Expert FAQ

How do I install the Convex Expert skill?

Run “npx skills add https://github.com/get-convex/agent-skills --skill convex-expert” 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 Expert skill do?

Convex backend specialist. Use this agent for any code inside a `convex/` directory — function definitions, schemas, indexes, queries, mutations, actions, HTTP endpoints, cron jobs, file storage, auth wiring, and component installation. Knows the object-form function syntax, validator patterns, resource limits, and component ecosystem that generic Claude routinely gets wrong. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Convex Expert skill free?

Yes. Convex Expert is a free, open-source skill published from get-convex/agent-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Convex Expert work with Claude Code and OpenClaw?

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

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