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Agent skill

Convex Agent

by openclaw in openclaw/clawhub

Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

MITAuto-check passedAI & LLM Engineering

Install Convex Agent

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

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

GitHub CLI
$ gh skill install openclaw/clawhub convex-agent --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-agent .claude/skills/convex-agent && 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-agent
GitHub stars
9.5k
Token cost
~429 tokens
SKILL.md length
225 words
Files
1
Skills in repo
56
Repo updated
First seen
Licence
MIT

At a glance

Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

  • Works in 5 steps: Install @convex-dev/agent +… → Define the agent (tools, instructions)… → Create threads + stream messages;… → …
  • Tasks that involve Retrieval-augmented generation
  • SKILL.md covers Workflow and Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Convex Agent is an agent skill from openclaw/clawhub. Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

Its SKILL.md is about 430 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 AI & LLM Engineering, covering Retrieval-augmented generation. 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 Retrieval-augmented generation

Example prompts

  • “/convex-agent”

Workflow steps

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

  1. Install @convex-dev/agent + @convex-dev/ai-sdk-provider; add the agent component to convex.config.ts.
  2. Define the agent (tools, instructions) with languageModel: convexGateway("provider/model") — no API key needed (needs convex 1.45+ on a…
  3. Create threads + stream messages; persist history in Convex.
  4. For RAG: embed docs into a vector index and retrieve in the tool. The gateway does not serve embeddings yet, so store the embedding…
  5. Only if the gateway is unavailable (free plan, self-hosted, local backend): call the provider SDK with a key stored via the env micro power.

What it can do on your machine

Read from SKILL.md and the folder at commit c23e34a. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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 Agent loads about 429 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~429

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 passed

The automated check found no risky patterns in SKILL.md.

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 c23e34a, republished under its MIT licence (© openclaw). 225 words, ~429 tokens.

Download SKILL.mdSave it as .claude/skills/convex-agent/SKILL.md (or your agent's skills folder).
name
convex-agent
description
Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.
<!-- GENERATED from convex-agents content/capabilities/agent.json — do not edit by hand. -->

Add an AI agent / RAG backend

Install @convex-dev/agent for durable threads, message history, tool-calls, and vector search/RAG — the backend for an in-app AI agent. Call models through the Convex AI Gateway by default: Convex holds the provider credentials, so there is no LLM key to obtain, store, or rotate.

Workflow

  1. Install @convex-dev/agent + @convex-dev/ai-sdk-provider; add the agent component to convex.config.ts.
  2. Define the agent (tools, instructions) with languageModel: convexGateway("provider/model") — no API key needed (needs convex 1.45+ on a Convex Cloud deployment, paid plan).
  3. Create threads + stream messages; persist history in Convex.
  4. For RAG: embed docs into a vector index and retrieve in the tool. The gateway does not serve embeddings yet, so store the embedding provider's key via the env micro power.
  5. Only if the gateway is unavailable (free plan, self-hosted, local backend): call the provider SDK with a key stored via the env micro power.

Rules

  • Default to the Convex AI Gateway (convexGateway from @convex-dev/ai-sdk-provider) for model calls; fall back to a provider key in Convex env only where the gateway is unavailable (free plan, self-hosted, local backend).
  • Never expose a provider API key client-side; when one is needed (embeddings, gateway fallback), keep it in Convex env via the env micro power.
  • Run model calls in actions ('use node' if the SDK needs it).
  • Persist threads/messages in Convex for durability + reactivity.

© 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-agent of openclaw/clawhub.

Open the folder on GitHubat commit c23e34a

Compare with similar skills

Convex Agent 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 Agent compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Convex Agent this skillopenclaw/clawhub9.5k—~429Automated safety check: PassMIT
Convex Agentswaynesutton/builder-skills404—~2.2kAutomated safety check: PassApache-2.0
Chroma Vector DatabaseOrchestra-Research/AI-Research-SKILLs13k8 repos~2.3kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2604 repos~1.4kAutomated safety check: PassCustom licence
MCP Local RAGshinpr/mcp-local-rag407—~4.4kAutomated safety check: PassMIT

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Works with

Categories

Questions about Convex Agent

What does Convex Agent do?

Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app. Convex Agent is an agent skill from openclaw/clawhub. Add an AI agent / RAG backend (@convex-dev/agent) to the Convex app.

When should I use Convex Agent?

Convex Agent fits situations like: tasks that involve Retrieval-augmented generation.

How do I install Convex Agent in Claude Code?

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

How do I install Convex Agent in Codex?

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

Can I use Convex Agent 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-agent -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-agent, .gemini/skills/convex-agent, .github/skills/convex-agent and .opencode/skills/convex-agent in your project.

What does Convex Agent need to run?

SKILL.md names no scripts, command-line tools or credentials: Convex Agent is instructions for the agent only.

Does Convex Agent access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Convex Agent safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Convex Agent use?

Convex Agent 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 Agent use?

About 429 tokens (SKILL.md is roughly 1.7k 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 Agent?

Skills that share tags, products or a category with Convex Agent: Convex Agents (waynesutton/builder-skills, 404 stars), Chroma Vector Database (Orchestra-Research/AI-Research-SKILLs, 13k stars), LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Convex Agent?

openclaw (a GitHub organization) maintains it in openclaw/clawhub, which has 9,495 GitHub stars. The repository holds 56 skills in this directory. The repository was last updated on October 7, 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.