create-agent

Name: create-agent
Author: openma-ai

By openma-ai· openma-ai/open-managed-agents· 0

Help users create and configure openma managed agents through conversation. Trigger when users say "create an agent", "I need an agent that...", "set up an agent for", "build me a bot", or describe a task to automate. Also trigger for "Create with AI" from Dashboard. Also use when users ask about the openma platform, what it can do, how to use the CLI, or how to configure resources.

Installation

1
Make sure Claude is on your device and in your terminal.
Skills load from ~/.claude/skills/ when Claude Code starts up — so you need it on your machine first. If you don't have it yet, install it once with the command below, then run claude in any terminal to verify.
One-time setup
```
npm i -g @anthropic-ai/claude-code
```
Already have it? Skip ahead.

Paste into Claude Code or into your terminal.

Install

git clone ht•••••••••••••••••••••••••••••••••••••••••••••••••• ••••••••••••••••••••••••••••••••••• •• ••••• •• ••••••••••••••••••••••••••••••••••••••• •• •• •• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••• ••••••••••••••••••••••••••••••••••••••••

This copies the whole skill folder into ~/.claude/skills/create-agent-openma-ai/ — the SKILL.md plus any scripts, reference docs, or templates the skill ships with. Safe default: works for every skill.

Faster alternative (instruction-only skills)

Skips the clone and grabs only the SKILL.md file. Don't use this if the skill ships Python scripts, reference markdowns, or asset templates — they won't be downloaded and the skill will fail when it tries to load them.

Quick install (SKILL.md only)

mkdir -p ~/.•••••••••••••••••••••••••••••••••••• •• •••• ••••• ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••• •• ••••••••••••••••••••••••••••••••••••••••••••••••

Restart Claude Code.
Quit and reopen Claude Code (or any other agent that loads from ~/.claude/skills/). New skills are picked up on startup.
Just ask Claude.
Skills auto-activate when your request matches the skill's description — no slash command needed. Trigger phrases live in the skill's own frontmatter; you can read them in the “What this skill does” section above.

Prefer to read the source first? Open on GitHub.

When Claude uses it

What this skill does

openma Agent Creator

What is openma?

openma is an open-source platform for building, deploying, and managing AI agents. Think of it as a managed runtime — you define an agent (model + system prompt + tools), the platform handles sandboxed execution, credential management, and session state.

What you can do with it:

Build agents for any task: coding, research, data analysis, customer support, automation
Run agents in sandboxes — each session gets an isolated container with file system, shell, and network
Connect external services via MCP servers (GitHub, Slack, Linear, Notion, etc.) with OAuth
Use any LLM — Anthropic, OpenAI, DeepSeek, or any OpenAI-compatible provider
Install community skills from ClawHub to extend agent capabilities
Manage credentials securely in vaults — agents get scoped access, secrets never leak
Collaborate — multi-user workspace with API key access for CLI/SDK integration

Creating an Agent

Flow

Understand the goal — ask what the agent should do. If vague, one question: "What's the main task?" Two rounds max, then build.
Pick the model — check /v1/model_cards first. Defaults:
- Complex/coding: claude-opus-4-6
- General (default): claude-sonnet-4-6
- Simple/fast: claude-haiku-4-5-20251001
- OpenAI: gpt-4o, o3
Write system prompt — specific, actionable, bounded. Not generic.
Select tools — default agent_toolset_20260401 (file ops, bash, web) covers most cases.

Create:

POST /v1/agents
{ "name", "model", "system", "tools": [{"type":"agent_toolset_20260401"}] }

Next steps — offer to create session, configure skills, set up model card.

Platform Quick Ref

Agents need a session to run. Sessions need an environment (sandbox).

Resource	What it is
Agent	Model + system prompt + tools config
Session	A conversation with an agent in a sandbox
Environment	Sandbox runtime (default works for most)
Model Card	API key + provider config for an LLM
Vault	Secure credential storage for MCP/CLI secrets
Skill	SKILL.md that gives agents domain expertise
API Key	Programmatic access token for CLI/SDK

oma agents create <name>                    # create agent
oma sessions create --agent <id> --env <id> # start session
oma sessions message <id> <text>            # send message
oma models create --name <n> --model-id <id> --api-key <key>
oma keys create                             # generate API key
oma skills install <slug>                   # install from ClawHub
oma --help                                  # full command list

Model card providers: ant, oai, ant-compatible, oai-compatible.

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