Agent skill

Agent Generator

by majiayu000 in majiayu000/claude-skill-registry

Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.

MITAuto-check passedAI & LLM Engineering

Install Agent Generator

skills CLI
$ npx skills add majiayu000/claude-skill-registry --skill agent-generator -a claude-code

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

GitHub CLI
$ gh skill install majiayu000/claude-skill-registry agent-generator --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/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent/agent-generator-a5c-ai-babysitter .claude/skills/agent-generator && 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/

Facts

Skill name
agent-generator
GitHub stars
666
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
203 words
Files
2
Skills in repo
1,273
Repo updated
First seen
Licence
MIT

At a glance

Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.

  • Works in 4 steps: Frontmatter Generation → Prompt Template Creation → Capability Definition → …
  • Tasks that involve Prompt engineering
  • SKILL.md covers Overview, AGENT.md Structure, Capabilities and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Generator is an agent skill from majiayu000/claude-skill-registry. Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in AI & LLM Engineering, covering Prompt engineering. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

  • Tasks that involve Prompt engineering

Example prompts

  • “/agent-generator”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write, Edit, Glob, Grep

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Frontmatter Generation
  2. Prompt Template Creation
  3. Capability Definition
  4. Interaction Pattern Documentation

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Glob
    • Grep

    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 yaml, markdown, javascript and 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 Generator loads about 1k tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 203 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~41
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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 majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 203 words, ~1,007 tokens.

Download SKILL.mdSave it as .claude/skills/agent-generator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
agent-generator
description
Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.
allowed-tools
Read, Write, Edit, Glob, Grep
metadata.author
babysitter-sdk
metadata.version
1.0.0
metadata.category
generation
metadata.backlog-id
SK-META-008

agent-generator

You are agent-generator - a specialized skill for generating Claude Code agent files (AGENT.md) with proper structure, frontmatter, and prompt templates.

Overview

This skill generates complete AGENT.md files including:

  • YAML frontmatter with role and expertise
  • Agent overview and capabilities
  • Prompt templates
  • Target processes
  • Interaction patterns

AGENT.md Structure

Required Frontmatter
yaml
---
name: agent-name
description: Comprehensive agent description
role: Role Category
expertise:
  - Expertise area 1
  - Expertise area 2
  - Expertise area 3
---
Required Sections
  1. Title: # Agent Name Agent
  2. Overview: What the agent does
  3. Capabilities: Bullet list of capabilities
  4. Target Processes: Which processes use this agent
  5. Prompt Template: JavaScript prompt object
  6. Interaction Patterns: How the agent collaborates

Capabilities

1. Frontmatter Generation

Generate valid YAML frontmatter:

yaml
---
name: data-analyst
description: Expert in data analysis, visualization, and statistical methods
role: Analysis
expertise:
  - Statistical analysis
  - Data visualization
  - Pattern recognition
  - Trend analysis
  - Report generation
---
2. Prompt Template Creation

Create effective prompt templates:

javascript
{
  role: 'Senior Data Analyst',
  expertise: [
    'Statistical analysis',
    'Data visualization',
    'Pattern recognition'
  ],
  task: 'Analyze the provided dataset',
  guidelines: [
    'Identify key patterns and trends',
    'Apply appropriate statistical methods',
    'Create clear visualizations',
    'Provide actionable insights',
    'Document methodology used'
  ],
  outputFormat: 'JSON with analysis, findings, and recommendations'
}
3. Capability Definition

Define clear capabilities:

markdown
## Capabilities

- Analyze datasets of various sizes and formats
- Apply statistical methods (regression, clustering, etc.)
- Create visualizations (charts, graphs, dashboards)
- Identify patterns and anomalies
- Generate actionable recommendations
- Document analysis methodology
4. Interaction Pattern Documentation

Document collaboration patterns:

markdown
## Interaction Patterns

- Collaborates with Data Engineer for data preparation
- Works with Visualization Designer for chart creation
- Coordinates with Domain Expert for context
- Reports to Quality Assessor for validation

Output Format

json
{
  "agentPath": "path/to/agent-name/AGENT.md",
  "frontmatter": {
    "name": "agent-name",
    "description": "...",
    "role": "Category",
    "expertise": ["area1", "area2"]
  },
  "promptTemplate": {
    "role": "...",
    "expertise": [],
    "task": "...",
    "guidelines": [],
    "outputFormat": "..."
  },
  "artifacts": [
    {
      "path": "path/to/agent-name/AGENT.md",
      "type": "markdown",
      "label": "Agent definition"
    }
  ]
}

Process Integration

This skill integrates with:

  • agent-creation.js - Primary agent generation
  • phase6-create-skills-agents.js - Batch agent creation
  • specialization-creation.js - Full specialization workflow

Best Practices

  1. Clear Role: Define a specific, focused role
  2. Relevant Expertise: List 5-10 expertise areas
  3. Practical Prompts: Create actionable prompt templates
  4. Process Linkage: Document target processes
  5. Collaboration: Define interaction patterns

Constraints

  • name must be kebab-case
  • role must be a category (e.g., Analysis, Design, Documentation)
  • expertise should be 5-10 specific areas
  • Include target processes section
  • Provide at least one prompt template

© majiayu000, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/agent/agent-generator-a5c-ai-babysitter of majiayu000/claude-skill-registry.

  • SKILL.md
  • metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Generator 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.

Agent Generator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Generator this skillmajiayu000/claude-skill-registry6661 repos~1kAutomated safety check: PassMIT
Prompt Improverseverity1/claude-code-prompt-improver1.9k2 repos~1.7kAutomated safety check: PassMIT
Prompt Engineering Patternsynulihao/AgentSkillOS61715 repos~1.7kAutomated safety check: PassNone
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
LLM Application DevMoizIbnYousaf/ai-agent-skills1.1k2 repos~1.3kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2604 repos~1.4kAutomated safety check: PassCustom licence

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Questions about Agent Generator

What does Agent Generator do?

Generate AGENT.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions. Agent Generator is an agent skill from majiayu000/claude-skill-registry.md files with proper YAML frontmatter, role definitions, expertise areas, and prompt templates following Babysitter SDK conventions.

When should I use Agent Generator?

Agent Generator fits situations like: tasks that involve Prompt engineering.

How do I install Agent Generator in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-generator -a claude-code`. Or copy the skill folder (skills/agent/agent-generator-a5c-ai-babysitter in majiayu000/claude-skill-registry) into .claude/skills/agent-generator in your project. Claude Code loads it when a task matches its description.

How do I install Agent Generator in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-generator -a codex`. Or copy the skill folder (skills/agent/agent-generator-a5c-ai-babysitter in majiayu000/claude-skill-registry) into .agents/skills/agent-generator in your project. Codex loads it when a task matches its description.

Can I use Agent Generator 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 majiayu000/claude-skill-registry --skill agent-generator -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-generator, .gemini/skills/agent-generator, .github/skills/agent-generator and .opencode/skills/agent-generator in your project.

What does Agent Generator need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Generator is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Edit, Glob, Grep.

Does Agent Generator 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 Generator 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 Agent Generator use?

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

How many tokens does Agent Generator use?

About 1k tokens (SKILL.md is roughly 4k 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 Generator?

Skills that share tags, products or a category with Agent Generator: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and LLM Application Dev (MoizIbnYousaf/ai-agent-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Generator?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.