---
name: OpenMA Agent Creator
slug: openma-agent-creator
category: AI Engineering
description: OpenMA Agent Creator helps users create and configure managed AI agents through conversation. Use it when someone wants to build an agent, ask about the platform, use the CLI, or configure resources.
github: "https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent"
language: TypeScript
stars: 252
forks: 33
install: "npx degit https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent ~/.claude/skills/create-agent"
installs_to: ~/.claude/skills/create-agent
source_path: skills/create-agent/SKILL.md
collection_size: 2
category_size: 2631
collection_url: "https://dirskills.com/collections/openma-ai/open-managed-agents"
added: 2026-09-02T05:20:53.743Z
last_synced: 2026-09-02T05:20:53.743Z
canonical_url: "https://dirskills.com/skills/openma-agent-creator"
---

# OpenMA Agent Creator

OpenMA Agent Creator helps users create and configure managed AI agents through conversation. Use it when someone wants to build an agent, ask about the platform, use the CLI, or configure resources.

**Install:**

```bash
npx degit https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent ~/.claude/skills/create-agent
```

## README

# 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

1. **Understand the goal** — ask what the agent should do. If vague, one question:
   "What's the main task?" Two rounds max, then build.

2. **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`

3. **Write system prompt** — specific, actionable, bounded. Not generic.

4. **Select tools** — default `agent_toolset_20260401` (file ops, bash, web) covers most cases.

5. **Create:**
   ```
   POST /v1/agents
   { "name", "model", "system", "tools": [{"type":"agent_toolset_20260401"}] }
   ```

6. **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`.