Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
How to author an agent template folder and install it as a new agent - folder layout, manifest fields, persona rules, shipped apps and checks, and the scaffold-validate-create flow.
Install Agent Creation
$ npx skills add OtoDock/oto-dock --skill agent-creation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OtoDock/oto-dock agent-creation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OtoDock/oto-dock.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mcps/custom/agent-creator-mcp/skills/agent-creation .claude/skills/agent-creation && rm -rf skills-srcUse ~/.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/
Install the "agent-creation" agent skill from https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creation into .claude/skills/agent-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-creation", 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 install https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creationType 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.
$ npx skills add OtoDock/oto-dock --skill agent-creation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OtoDock/oto-dock agent-creation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OtoDock/oto-dock.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mcps/custom/agent-creator-mcp/skills/agent-creation .agents/skills/agent-creation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agent-creation" agent skill from https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creation into .agents/skills/agent-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-creation", 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.
$ npx skills add OtoDock/oto-dock --skill agent-creation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OtoDock/oto-dock agent-creation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OtoDock/oto-dock.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mcps/custom/agent-creator-mcp/skills/agent-creation .cursor/skills/agent-creation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agent-creation" agent skill from https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creation into .cursor/skills/agent-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-creation", 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 https://github.com/OtoDock/oto-dock.git --path mcps/custom/agent-creator-mcp/skills/agent-creation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OtoDock/oto-dock --skill agent-creation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OtoDock/oto-dock agent-creation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OtoDock/oto-dock.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mcps/custom/agent-creator-mcp/skills/agent-creation .gemini/skills/agent-creation && rm -rf skills-srcUse ~/.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/
Install the "agent-creation" agent skill from https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creation into .gemini/skills/agent-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-creation", 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.
$ gh skill install OtoDock/oto-dock agent-creationInstalls 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).
$ npx skills add OtoDock/oto-dock --skill agent-creation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OtoDock/oto-dock.git skills-src && mkdir -p .github/skills && cp -r skills-src/mcps/custom/agent-creator-mcp/skills/agent-creation .github/skills/agent-creation && rm -rf skills-srcUse ~/.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/
Install the "agent-creation" agent skill from https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creation into .github/skills/agent-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-creation", 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.
$ npx skills add OtoDock/oto-dock --skill agent-creation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OtoDock/oto-dock agent-creation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OtoDock/oto-dock.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mcps/custom/agent-creator-mcp/skills/agent-creation .opencode/skills/agent-creation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agent-creation" agent skill from https://github.com/OtoDock/oto-dock/tree/main/mcps/custom/agent-creator-mcp/skills/agent-creation into .opencode/skills/agent-creation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agent-creation", 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
agent-creation- GitHub stars
- 190
- Token cost
- ~4.1k tokens
- SKILL.md length
- 2,025 words
- Files
- 1
- Skills in repo
- 18
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
How to author an agent template folder and install it as a new agent - folder layout, manifest fields, persona rules, shipped apps and checks, and the scaffold-validate-create flow.
- Works in 6 steps: Interview the user — what should this… → list_building_blocks — the canonical MCP… → Write the folder somewhere you can… → …
- Asked to create
- SKILL.md covers The flow, Folder layout, agent.json and agent.md — the persona, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Agent Creation is an agent skill from OtoDock/oto-dock. How to author an agent template folder and install it as a new agent - folder layout, manifest fields, persona rules, shipped apps and checks, and the scaffold-validate-create flow. Use when asked to create, build, or set up a new agent.
Its SKILL.md is about 4.1k 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. The repository describes itself as: The agentic company OS. The brains of your company, built on Claude Code and Codex, working on your Anthropic and OpenAI subscriptions.
When your agent uses it
- Asked to create
- Set up a new agent
Example prompts
- “/agent-creation”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Interview the user — what should this agent do, for whom, what does it
- list_building_blocks — the canonical MCP names and skill packages
- Write the folder somewhere you can write: /workspace// for
- validate_agent_template — fix what it reports, repeat until clean.
- create_agent — installs it. You become the new agent's manager.
- Report back: what was created, its link, what an admin still needs to
What it can do on your machine
Read from SKILL.md and the folder at commit 1abb6f8. 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 (its code samples are json).
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
Agent Creation loads about 4.1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 2,025 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:114
dotfiles, `.env`, `data/` and `node_modules` inside an app folder never
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,025 words (~4,051 tokens).
“You create an agent by writing a template folder and installing it. The template carries everything the new agent starts life with: who it is, which tools it gets, what it knows, what it runs on a schedule, and how…”
- name
- agent-creation
Files
Just SKILL.md in mcps/custom/agent-creator-mcp/skills/agent-creation of OtoDock/oto-dock.
Open the folder on GitHubat commit 1abb6f8
Compare with similar skills
Agent Creation 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agent Creation this skillOtoDock/oto-dock | 190 | — | ~4.1k | Automated safety check: Notes | Custom licence | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Paperclip Create Agentpaperclipai/paperclip | 98k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit | 259 | 4 repos | ~1.4k | Automated safety check: Pass | Custom licence | |
| Create Agentgnekt/My-Brain-Is-Full-Crew | 3.9k | — | ~3.1k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
Azure AI Projects Python SDK
microsoft/skills
Reference for building on Microsoft Foundry with the azure-ai-projects Python SDK: project clients, versioned agents, evaluations, connections, datasets and indexes.
Paperclip Create Agent
paperclipai/paperclip
Create new agents in Paperclip with governance-aware hiring.
Senior Prompt Engineer
maslennikov-ig/claude-code-orchestrator-kit
Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.
Create Agent
gnekt/My-Brain-Is-Full-Crew
Create a new custom agent from scratch. An agent skill from gnekt/My-Brain-Is-Full-Crew.
Ms Agent Framework RAG
shuyu-labs/WebCode
Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.
More from OtoDock/oto-dock
All 18 skills in this repoChecks
OtoDock/oto-dock
How checks work on OtoDock — named units that judge an agent's work at the end of a turn (schema, script, handler and judge kinds), conditions on what the turn changed, rounds, where a check lives…
Image Search Usage
OtoDock/oto-dock
Search the web for images with filters and download them. An agent skill from OtoDock/oto-dock.
Subtitle Burning
OtoDock/oto-dock
Transcribe audio and burn styled subtitles into videos. An agent skill from OtoDock/oto-dock.
Triggers Guide
OtoDock/oto-dock
Reference for the triggers-mcp tools — the trigger↔task and trigger↔notification patterns with full call shapes, vendor-subscribed (OAuth) triggers and eventfilter rules, payload placeholders…
Otodock Platform
OtoDock/oto-dock
How the OtoDock platform itself works and where every setting lives — installing and first-run setup, agents, AI engines, sessions, apps and sharing, checks, departments and delegation, shared…
App Authoring
OtoDock/oto-dock
Authoring contracts for interactive artifacts, app dashboards, and Dock panels — displayui backchannel and theme events, pinapp action buttons (firetask / sendprompt / mcptool / platform, per-action…
Related
Categories
Questions about Agent Creation
What does Agent Creation do?
How to author an agent template folder and install it as a new agent - folder layout, manifest fields, persona rules, shipped apps and checks, and the scaffold-validate-create flow. Agent Creation is an agent skill from OtoDock/oto-dock. How to author an agent template folder and install it as a new agent - folder layout, manifest fields, persona rules, shipped apps and checks, and the scaffold-validate-create flow.
When should I use Agent Creation?
Agent Creation fits situations like: asked to create; set up a new agent.
How do I install Agent Creation in Claude Code?
Run `npx skills add OtoDock/oto-dock --skill agent-creation -a claude-code`. Or copy the skill folder (mcps/custom/agent-creator-mcp/skills/agent-creation in OtoDock/oto-dock) into .claude/skills/agent-creation in your project. Claude Code loads it when a task matches its description.
How do I install Agent Creation in Codex?
Run `npx skills add OtoDock/oto-dock --skill agent-creation -a codex`. Or copy the skill folder (mcps/custom/agent-creator-mcp/skills/agent-creation in OtoDock/oto-dock) into .agents/skills/agent-creation in your project. Codex loads it when a task matches its description.
Can I use Agent Creation 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 OtoDock/oto-dock --skill agent-creation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-creation, .gemini/skills/agent-creation, .github/skills/agent-creation and .opencode/skills/agent-creation in your project.
What does Agent Creation need to run?
SKILL.md names no scripts, command-line tools or credentials: Agent Creation is instructions for the agent only.
Does Agent Creation 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 Agent Creation safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Agent Creation use?
Agent Creation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Agent Creation use?
About 4.1k tokens (SKILL.md is roughly 16k 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 Agent Creation?
Skills that share tags, products or a category with Agent Creation: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars), Paperclip Create Agent (paperclipai/paperclip, 98k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 259 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agent Creation?
OtoDock (a GitHub organization) maintains it in OtoDock/oto-dock, which has 190 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on September 29, 2026.
Source: OtoDock/oto-dock on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.