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Agent Creator

ASecurity

Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills.

6 stars
0 votes
1 copies
3 views
Added 9/11/2026
ai-agentsjavascriptpythongojavashellsqlcode-reviewgitapisecurity

Works with

api

Security Analysis

A100/100

Scanned 9/11/2026

$npx -y skills add ranbot-ai/awesome-skills --skill agent-creator --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: agent-creator
description: Create custom AI subagents with proper plugin structure, persona generation, and companion routing skills. 
category: AI & Agents
source: antigravity
tags: [python, javascript, markdown, api, claude, ai, agent, automation, workflow, template]
url: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/agent-creator
---


# Agent Creator

A skill for creating custom subagents packaged inside proper plugins. This skill
handles the entire flow: gathering requirements, generating a rich persona from
even a one-line description, scaffolding the correct folder structure, and
optionally creating a companion skill that auto-routes tasks to the new agent.

## When to use

Use this skill whenever you need a dedicated, isolated "brain" to handle a specific repetitive task, or when you find yourself repeatedly pasting the same massive system prompt or constraints into the main chat. Creating a dedicated subagent keeps the main conversation lightweight and focused.

## Why this exists

Subagents live inside plugins at `<appDataDir>\config\plugins\`. For
a subagent to be properly registered and invokable, it needs to be inside a
plugin's `agents/` directory with a valid `plugin.json`. Getting this structure
right manually is tedious and error-prone. This skill automates the entire
process so the user can go from "I want an agent that reviews code" to a fully
functional, properly structured subagent in under a minute.

## Target directory

All agents are created inside plugins at:
```
<appDataDir>\config\plugins\<plugin-name>\
```

If the user wants the agent inside an **existing plugin**, add the agent folder
to that plugin's `agents/` directory. If no plugin is specified, create a new
plugin named `<agent-name>-plugin`.

Before creating any path, validate both `<agent-name>` and `<plugin-name>`:

- accept only lowercase letters, numbers, and single hyphens: `^[a-z0-9]+(-[a-z0-9]+)*$`
- reject `/`, `\`, `.`, `..`, absolute paths, whitespace, shell metacharacters, and YAML metacharacters
- resolve the final target path and verify it stays under `<appDataDir>\config\plugins\`
- stop and ask for a safe replacement instead of sanitizing a suspicious name silently

## Workflow

Follow these steps in order. Do NOT skip the interview — even a one-line
description from the user needs to be expanded into a proper persona.

### Step 1: Gather requirements

Ask the user these questions one at a time (use the `ask_question` tool where
appropriate, or ask conversationally if the flow is natural):

1. **Agent name** — What should this agent be called?
   - Guide: short, lowercase, hyphenated (e.g., `code-reviewer`, `sql-expert`, `test-writer`)

2. **Purpose** — What is this agent for? (even a single line is fine)
   - Example: "review code", "write SQL queries", "generate unit tests"

3. **Plugin placement** — Should this go into an existing plugin or a new one?
   - List the user's existing plugins from `<appDataDir>\config\plugins\`
   - Default: create a new plugin named `<agent-name>-plugin`

4. **Companion skill** — Should I also create a routing skill that auto-triggers
   this agent? (Default: yes)

### Step 2: Generate the persona

This is the most important step. The user might give you a one-liner like
"for reviewing code" — your job is to expand that into a rich, detailed persona
that makes the agent genuinely excellent at its job.

A good persona includes:

- **Identity**: Who the agent is and what it specializes in
- **Expertise areas**: Specific domains, technologies, or methodologies it knows
- **Personality traits**: How it communicates (e.g., direct, thorough, cautious)
- **Working style**: How it approaches problems step by step
- **Output format**: What its responses look like (structured, prose, etc.)
- **Constraints**: What it should NOT do or what it should defer to others
- **Quality standards**: What "good work" looks like for this agent

For example, if the user says "for reviewing code", generate a persona like:

> You are a senior code reviewer with 15+ years of experience across multiple
> languages and paradigms. You approach every review with three priorities:
> correctness first, maintainability second, performance third. You never
> approve code you haven't fully understood. You flag security vulnerabilities
> with high urgency. You distinguish between blocking issues (must fix),
> suggestions (should consider), and nitpicks (style preference). You provide
> concrete fix suggestions, not just problem descriptions. You check for edge
> cases, error handling, resource leaks, and race conditions. You respect the
> codebase's existing patterns unless they are actively harmful.

### Step 3: Create the folder structure

Create the following structure:

```
plugins/<plugin-name>/
├── plugin.json
├── agents/
│   └── <agent-name>.md
└── skills/                    (only if companion skill requested)
    └── use-<agent-name>/
        └── SKILL.md
```

### Step 4: Write plugin.json

If creating a new plugin, write a minimal `plugin.json`:

```json
{
  "name": "<plugin-name>",
  "description": "<Brief description of what this plugin provides>",
  "version": "1.0.0"
}
```

If adding to an existing plugin, do NOT modify the existing `plugin.json`.

### Step 5: Write the agent file

Write the `<agent-name>.md` file in the `agents/` fo

Attribution

ranbot-airanbot-ai
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