Agent skill

Convex Expert

by openclaw in openclaw/clawhub

Convex backend specialist. An agent skill from openclaw/clawhub.

MITAuto-check: notesBackend & APIs

Install Convex Expert

skills CLI
$ npx skills add openclaw/clawhub --skill convex-expert -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install openclaw/clawhub convex-expert --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/openclaw/clawhub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/convex-expert .claude/skills/convex-expert && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
convex-expert
GitHub stars
9.5k
Used in
1 other repo
Token cost
~1.1k tokens
SKILL.md length
520 words
Files
1
Skills in repo
55
Repo updated
First seen
Licence
MIT

At a glance

Convex backend specialist. An agent skill from openclaw/clawhub.

  • Works in 6 steps: When about to write or edit any file… → Write all Convex functions in object… → Use withIndex(...) for every read path —… → …
  • Tasks that involve File uploads and storage
  • SKILL.md covers Workflow and Rules
  • Calls npx

What it does

Convex Expert is an agent skill from openclaw/clawhub. 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.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering File uploads and storage. It works with Convex. The repository describes itself as: Skill + Plugin Registry for OpenClaw. The licence is MIT.

When your agent uses it

  • Tasks that involve File uploads and storage

Example prompts

  • “/convex-expert”

Requirements

  • Node.js

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit d044664. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Convex Expert loads about 1.1k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 520 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NoteMentions a .env fileSKILL.md:38
    g anonymous on a signed-in user rebinds `.env.local` and costs them the persistent, publishable cloud deployment they ex

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from openclaw/clawhub at commit d044664, republished under its MIT licence (© openclaw). 520 words, ~1,108 tokens.

Download SKILL.mdSave it as .claude/skills/convex-expert/SKILL.md (or your agent's skills folder).
name
convex-expert
description
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.
<!-- 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 push it to a deployment. Prefer the project's existing one; otherwise npx convex dev --once when npx convex whoami succeeds, and CONVEX_AGENT_MODE=anonymous npx convex dev --once ONLY when it does not. Forcing anonymous on a signed-in user rebinds .env.local and costs them the persistent, publishable cloud deployment they expect. 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.

© openclaw, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/convex-expert of openclaw/clawhub.

Open the folder on GitHubat commit d044664

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in openclaw/clawhub, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Convex Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Convex Expert compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Convex Expert this skillopenclaw/clawhub9.5k1 repos~1.1kAutomated safety check: NotesMIT
Convex BackendCloudAI-X/claude-workflow-v21.4k—~1.1kAutomated safety check: PassMIT
Stripe Projectsfossasia/eventyay1.7k5 repos~2kAutomated safety check: NotesApache-2.0
FoundatioFoundatioFx/Foundatio2.1k—~3.9kAutomated safety check: PassApache-2.0
Spatialduckdb/duckdb-skills6041 repos~1kAutomated safety check: NotesMIT
R Oopab604/claude-code-r-skills2062 repos~1.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Convex Expert

What does Convex Expert do?

Convex backend specialist. An agent skill from openclaw/clawhub. Convex Expert is an agent skill from openclaw/clawhub. Convex backend specialist.

When should I use Convex Expert?

Convex Expert fits situations like: tasks that involve File uploads and storage.

How do I install Convex Expert in Claude Code?

Run `npx skills add openclaw/clawhub --skill convex-expert -a claude-code`. Or copy the skill folder (.agents/skills/convex-expert in openclaw/clawhub) into .claude/skills/convex-expert in your project. Claude Code loads it when a task matches its description.

How do I install Convex Expert in Codex?

Run `npx skills add openclaw/clawhub --skill convex-expert -a codex`. Or copy the skill folder (.agents/skills/convex-expert in openclaw/clawhub) into .agents/skills/convex-expert in your project. Codex loads it when a task matches its description.

Can I use Convex Expert in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add openclaw/clawhub --skill convex-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/convex-expert, .gemini/skills/convex-expert, .github/skills/convex-expert and .opencode/skills/convex-expert in your project.

What does Convex Expert need to run?

Going by SKILL.md and its folder, Convex Expert needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Convex Expert access the network?

SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Convex Expert safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Convex Expert use?

Convex Expert is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Convex Expert use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Convex Expert?

Skills that share tags, products or a category with Convex Expert: Convex Backend (CloudAI-X/claude-workflow-v2, 1.4k stars), Stripe Projects (fossasia/eventyay, 1.7k stars), Foundatio (FoundatioFx/Foundatio, 2.1k stars) and Spatial (duckdb/duckdb-skills, 604 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Convex Expert?

openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,500 GitHub stars. The repository holds 55 skills in this directory. The repository was last updated on October 8, 2026.

Source: openclaw/clawhub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.