Agent skill

Create Agent

by openma-ai in openma-ai/open-managed-agents

Help users create and configure openma managed agents through conversation.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Create Agent

skills CLI

$ npx skills add openma-ai/open-managed-agents --skill create-agent -a claude-code

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

GitHub CLI

$ gh skill install openma-ai/open-managed-agents create-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/openma-ai/open-managed-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/create-agent .claude/skills/create-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/

Paste into Claude Code

Install the "create-agent" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent into .claude/skills/create-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-agent", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add openma-ai/open-managed-agents --skill create-agent -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install openma-ai/open-managed-agents create-agent --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/create-agent .agents/skills/create-agent && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "create-agent" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent into .agents/skills/create-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-agent", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add openma-ai/open-managed-agents --skill create-agent -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install openma-ai/open-managed-agents create-agent --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/create-agent .cursor/skills/create-agent && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "create-agent" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent into .cursor/skills/create-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-agent", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/openma-ai/open-managed-agents.git --path skills/create-agent

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add openma-ai/open-managed-agents --skill create-agent -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install openma-ai/open-managed-agents create-agent --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/create-agent .gemini/skills/create-agent && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "create-agent" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent into .gemini/skills/create-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-agent", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install openma-ai/open-managed-agents create-agent

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add openma-ai/open-managed-agents --skill create-agent -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/create-agent .github/skills/create-agent && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "create-agent" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent into .github/skills/create-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-agent", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add openma-ai/open-managed-agents --skill create-agent -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install openma-ai/open-managed-agents create-agent --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/openma-ai/open-managed-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/create-agent .opencode/skills/create-agent && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "create-agent" agent skill from https://github.com/openma-ai/open-managed-agents/tree/main/skills/create-agent into .opencode/skills/create-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-agent", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: create-agent
GitHub stars: 315
Token cost: ~808 tokens
SKILL.md length: 289 words
Files: 1
Skills in repo: 2
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Help users create and configure openma managed agents through conversation.

Works in 6 steps: Understand the goal — ask what the agent… → Pick the model — check /v1/model_cards… → Write system prompt — specific,… → …
Users say create an agent
SKILL.md covers What is openma?, Creating an Agent and Platform Quick Ref
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Create Agent is an agent skill from openma-ai/open-managed-agents. 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.

Its SKILL.md is about 810 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 Building AI agents. It works with OpenAI, Cloudflare and Cloudflare Durable Objects. The repository describes itself as: Open Managed Agents — an open-source alternative to Claude Managed Agents and OpenAI Agents API. Deploy with Node.js or Docker, run on Cloudflare, or use hosted OpenMA. Choose… The licence is Apache-2.0.

When your agent uses it

Users say create an agent
I need an agent that...
Set up an agent for
Describe a task to automate

Example prompts

“create an agent”
“I need an agent that...”
“set up an agent for”
“/create-agent”

Workflow steps

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

Understand the goal — ask what the agent should do. If vague, one question
Pick the model — check /v1/model_cards first. Defaults
Write system prompt — specific, actionable, bounded. Not generic.
Select tools — default agent_toolset_20260401 (file ops, bash, web) covers most cases.
Create
Next steps — offer to create session, configure skills, set up model card.

What it can do on your machine

Read from SKILL.md and the folder at commit 98db444. 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

Create Agent loads about 808 tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 289 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~100
When it runs · the whole SKILL.md, loaded when a task matches: ~808

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 openma-ai/open-managed-agents at commit 98db444, republished under its Apache-2.0 licence (© openma-ai). 289 words, ~808 tokens.

Download SKILL.mdSave it as .claude/skills/create-agent/SKILL.md (or your agent's skills folder).

name: create-agent
description: 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.

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.

Files

Just SKILL.md in skills/create-agent of openma-ai/open-managed-agents.

Open the folder on GitHubat commit 98db444

Compare with similar skills

Create 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.

Create Agent compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Create Agent this skillopenma-ai/open-managed-agents	315	—	~808	Automated safety check: Pass	Apache-2.0	today
Sentry Instrumentgetsentry/sentry-for-ai	268	—	~3.2k	Automated safety check: Pass	Apache-2.0	today
AI SDKvercel-labs/ai-facts	168	21 repos	~1.2k	Automated safety check: Pass	None	5 mo ago
Trigger.dev Agent Patternspapermark/papermark	9.2k	—	~2k	Automated safety check: Pass	Custom licence	1 mo ago
Agent Squad Python Guide2FastLabs/agent-squad	7.8k	—	~4.7k	Automated safety check: Pass	Apache-2.0	today
Azure AI Projects Python SDKmicrosoft/skills	3.1k	6 repos	~2.8k	Automated safety check: Pass	MIT	yesterday

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Questions about Create Agent

What does Create Agent do?

Help users create and configure openma managed agents through conversation. Create Agent is an agent skill from openma-ai/open-managed-agents. Help users create and configure openma managed agents through conversation.

When should I use Create Agent?

Create Agent fits situations like: users say create an agent; I need an agent that..; set up an agent for; describe a task to automate.

How do I install Create Agent in Claude Code?

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

How do I install Create Agent in Codex?

Run `npx skills add openma-ai/open-managed-agents --skill create-agent -a codex`. Or copy the skill folder (skills/create-agent in openma-ai/open-managed-agents) into .agents/skills/create-agent in your project. Codex loads it when a task matches its description.

Can I use Create 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 openma-ai/open-managed-agents --skill create-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/create-agent, .gemini/skills/create-agent, .github/skills/create-agent and .opencode/skills/create-agent in your project.

What does Create Agent need to run?

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

Does Create 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 Create 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 Create Agent use?

Create Agent is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create Agent use?

About 808 tokens (SKILL.md is roughly 3.2k 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 Create Agent?

Skills that share tags, products or a category with Create Agent: Sentry Instrument (getsentry/sentry-for-ai, 268 stars), AI SDK (vercel-labs/ai-facts, 168 stars), Trigger.dev Agent Patterns (papermark/papermark, 9.2k stars) and Agent Squad Python Guide (2FastLabs/agent-squad, 7.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create Agent?

openma-ai (a GitHub organization) maintains it in openma-ai/open-managed-agents, which has 315 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 6, 2026.

Source: openma-ai/open-managed-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Create Agent

Install Create Agent

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

openma Agent Creator

What is openma?

Creating an Agent

Flow

Platform Quick Ref

Files

Compare with similar skills

Similar skills

Sentry Instrument

AI SDK

Trigger.dev Agent Patterns

Agent Squad Python Guide

Azure AI Projects Python SDK

Add Example Agent

More from openma-ai/open-managed-agents

Openma

Questions about Create Agent

Install Create Agent

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

openma Agent Creator

What is openma?

Creating an Agent

Flow

Platform Quick Ref

Files

Compare with similar skills

Similar skills

Sentry Instrument

AI SDK

Trigger.dev Agent Patterns

Agent Squad Python Guide

Azure AI Projects Python SDK

Add Example Agent

More from openma-ai/open-managed-agents

Openma

Related

Questions about Create Agent