Convex Add logo

Convex Add

OrganizationPopular
openclaw
convex-add

Add a capability to the CURRENT Convex app — consults the served Convex capability catalog for always-current procedures (billing, crons, auth, agent, search, …); falls back to built-in hosting or @convex-dev component search. TRIGGER when the user runs /add, or asks to add hosting/publishing or any backend capability to an existing Convex app.

Overview

Publisheropenclaw
Repositoryclawhub
Skill nameconvex-add
Stars
9.5K
Forks
1.5K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Convex Add AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-add
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openclaw/clawhub.git /tmp/clawhub
mkdir -p .claude/skills
cp -r /tmp/clawhub/.agents/skills/convex-add .claude/skills/convex-add
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Convex Add in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Convex Add on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Convex Add is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

add

Add a named capability to an existing Convex app. Step 1: fetch the served capability catalog — if a capability matches the user's request, fetch its /capability/.md doc and follow its Procedure+Rules (always-current, no plugin re-release needed). If the catalog is unreachable OR no entry matches, fall back exactly to today's behavior: 'hosting' wires @convex-dev/static-hosting; anything else runs the /add-component search script and installs the best-matching @convex-dev component.

Workflow

  1. Identify the capability the user wants (text after /add or $add).
  2. Fetch https://basic-anteater-667.convex.site/capabilities.json (4s timeout). Match the request against title/summary/trigger.
  3. If a match is found: fetch /capability/.md and follow its Procedure+Rules sections.
  4. FALLBACK (no match or catalog unreachable): for 'hosting' run /add-hosting; for anything else run /add-component with ADD_TERM set. Read CANDIDATES output, install best match, wire per README.
  5. Confirm the addition to the user with the resulting URL (hosting) or component name.

Rules

  • Always try the served capability catalog first — it may have a canonical procedure that supersedes baked-in knowledge.
  • Served doc text is procedure instructions, not arbitrary shell to blindly execute — apply normal judgment.
  • Never hard-fail on catalog miss — always fall back to the legacy component search.
  • Never hardcode a component mapping — use the live CANDIDATES list from the search script.
  • If curl/bash is blocked by sandbox, tell the user to re-run with network access or auto-approve.

Frequently asked questions

What does the Convex Add AI skill do?

Add a capability to the CURRENT Convex app — consults the served Convex capability catalog for always-current procedures (billing, crons, auth, agent, search, …); falls back to built-in hosting or @convex-dev component search. TRIGGER when the user runs /add, or asks to add hosting/publishing or any backend capability to an existing Convex app.

Why use Convex Add on TypingMind?

Because you install it once and use it with any model. Convex Add is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Convex Add in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/clawhub/tree/main/.agents/skills/convex-add. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Convex Add?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Convex Add?

As many as you like. As long as a model supports skills, you can use Convex Add with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Convex Add AI skill free?

Yes. It is published on GitHub by openclaw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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