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Agent skill

Agent Creator

by curiositech in curiositech/some_claude_skills

Meta-agent for creating new custom agents, skills, and MCP integrations.

MITAuto-check: notesAgent Workflows

Install Agent Creator

skills CLI
$ npx skills add curiositech/some_claude_skills --skill agent-creator -a claude-code

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

GitHub CLI
$ gh skill install curiositech/some_claude_skills agent-creator --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/curiositech/some_claude_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agent-creator .claude/skills/agent-creator && 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-creator
GitHub stars
243
Used in
1 other repo
Token cost
~1.4k tokens
SKILL.md length
470 words
Files
6 (incl. references)
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Meta-agent for creating new custom agents, skills, and MCP integrations.

  • Works in 3 steps: Agent Design & Architecture → MCP Integration → Skill Framework Design
  • Tasks that involve Building AI agents
  • SKILL.md covers Quick Start, Core Competencies, Agent Templates and Rapid Prototyping Workflow, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Creator is an agent skill from curiositech/some_claude_skills. Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `.claude-plugin/plugin.json`, `CHANGELOG.md` and `references/agent-templates.md`).

It sits in Agent Workflows, covering Building AI agents, MCP servers and Prototyping. It works with Model Context Protocol. The repository describes itself as: Claude skills that make my life easier. The licence is MIT.

When your agent uses it

  • Tasks that involve Building AI agents
  • Tasks that involve MCP servers
  • Tasks that involve Prototyping

Example prompts

  • “create agent”
  • “new skill”
  • “MCP server”
  • “/agent-creator”

Requirements

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

Workflow steps

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

  1. Agent Design & Architecture
  2. MCP Integration
  3. Skill Framework Design

What it can do on your machine

Read from SKILL.md and the folder at commit 6713fc7. 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
    • Bash
    • mcp__firecrawl__firecrawl_search
    • WebFetch

    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

Agent Creator loads about 1.4k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 102 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

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.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Write, Edit, Glob, Grep, Bash, mcp__firecrawl__firecrawl_search, WebFetch

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 curiositech/some_claude_skills at commit 6713fc7, republished under its MIT licence (© curiositech). 470 words, ~1,353 tokens.

Download SKILL.mdSave it as .claude/skills/agent-creator/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
agent-creator
description
Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).
allowed-tools
Read, Write, Edit, Glob, Grep, Bash, mcp__firecrawl__firecrawl_search, WebFetch
metadata.category
Productivity & Meta
metadata.tags
agents, mcp, automation, meta, skill-development

Agent Creator

Meta-agent specializing in creating new custom agents, skills, and MCP integrations. Transform requirements into fully-functional, well-documented agent systems.

Quick Start

User: "Create an agent for database optimization"

Agent Creator:
1. Analyze requirements (domain, users, problems, scope)
2. Design persona (Senior DBA, 20 years experience)
3. Map capabilities (EXPLAIN analysis, indexing, query rewriting)
4. Select template (Technical Expert)
5. Encode knowledge (anti-patterns, techniques, examples)
6. Add MCP tools (optional: SQL parser)
7. Document usage and limitations

Result: Production-ready agent in ~45 minutes

Core Competencies

1. Agent Design & Architecture
  • Persona development with distinct voices
  • Skill definition and scope management
  • Interaction pattern design
  • Knowledge encoding for optimal retrieval
2. MCP Integration
  • Protocol understanding and server development
  • Resource management and API design
  • State management for persistent agents
3. Skill Framework Design
  • Progressive disclosure (lightweight metadata, on-demand detail)
  • Composability and modularity
  • Clear documentation

Agent Templates

TemplateBest ForKey Elements
Technical ExpertDomain specialistsProblem-solving framework, code examples, best practices
Creative/DesignCreative rolesDesign philosophy, creative process, quality standards
OrchestratorCoordinationDelegation strategy, integration patterns, QA

Rapid Prototyping Workflow

StepTimeActivity
1. Understand Need2 minWhat capability is missing?
2. Design Persona3 minWhat expert would solve this?
3. Map Knowledge10 minWhat do they need to know?
4. Create Structure5 minOrganize into template
5. Add Examples10 minConcrete, runnable code
6. Write Docs5 minHow to use it
7. Test & Refine10 minValidate with queries

Total: ~45 minutes for quality agent

MCP Server Creation

Official Packages:

  • @modelcontextprotocol/sdk - Core TypeScript SDK
  • @modelcontextprotocol/create-server - Scaffold new servers
  • @modelcontextprotocol/inspector - Test and debug

Creation Steps:

  1. Define capability (inputs, outputs, purpose)
  2. Design interface (clean tool schema)
  3. Implement core logic
  4. Package as MCP server

Quality Checklist

Expertise
  • Clear domain boundaries
  • Specific, actionable guidance
  • Real-world examples
  • Common pitfalls covered
Usability
  • Clear mission statement
  • Easy-to-scan structure
  • Concrete code examples
Integration
  • Works standalone
  • Can combine with other agents
  • Clear input/output formats
Show full SKILL.md (203 more words)Show less

When to Use

Use for:

  • Creating new domain expert agents
  • Building MCP servers for custom capabilities
  • Designing skill architecture
  • Rapid prototyping of AI capabilities

Do NOT use for:

  • Using existing agents (invoke them directly)
  • General coding tasks (use language-specific skills)
  • Infrastructure setup (use deployment-engineer)
  • Modifying Claude's core behavior

Anti-Patterns

Anti-Pattern: Knowledge Dump

What it looks like: Pasting entire documentation into agent Why wrong: Overwhelming, poor retrieval, bloated context Instead: Curate essential knowledge, use progressive disclosure

Anti-Pattern: Vague Persona

What it looks like: "You are an expert assistant" Why wrong: No personality, generic outputs Instead: Specific role, years of experience, communication style

Anti-Pattern: Missing Scope

What it looks like: Agent that tries to do everything Why wrong: Jack of all trades, master of none Instead: Clear boundaries with redirect suggestions

Anti-Pattern: No Examples

What it looks like: Abstract descriptions without code Why wrong: Users can't see how to apply guidance Instead: Concrete, runnable examples for key patterns

Reference Files

  • references/agent-templates.md - Technical, Creative, Orchestrator templates
  • references/mcp-integration.md - MCP server creation patterns, SDK usage
  • references/creation-process.md - End-to-end workflow, quality checklist

Core insight: Great agents aren't knowledge dumps—they're thoughtfully designed expert systems with personality, practical guidance, and real-world applicability.

Use with: skill-coach (quality review) | skill-documentarian (documentation) | orchestrator (multi-agent design)

© curiositech, 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 5 other files (references) in .claude/skills/agent-creator of curiositech/some_claude_skills.

  • SKILL.md
  • .claude-plugin/plugin.json
  • CHANGELOG.md
  • references/agent-templates.md
  • references/creation-process.md
  • references/mcp-integration.md

Open the folder on GitHubat commit 6713fc7

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 curiositech/some_claude_skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Agent Creator 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 Creator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Creator this skillcuriositech/some_claude_skills2431 repos~1.4kAutomated safety check: NotesMIT
Dashclaw Governanceucsandman/DashClaw310—~2.7kAutomated safety check: PassMIT
Magic ResumeMagic-Resume/Magic-Resume101—~663Automated safety check: PassMIT
Agent Self-Customizationnanocoai/nanoclaw31k1 repos~1.5kAutomated safety check: NotesMIT
Openmaopenma-ai/open-managed-agents315—~854Automated safety check: PassApache-2.0
Chemgraphargonne-lcf/ChemGraph162—~2.7kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Agent Creator

What does Agent Creator do?

Meta-agent for creating new custom agents, skills, and MCP integrations. Agent Creator is an agent skill from curiositech/some_claude_skills. Meta-agent for creating new custom agents, skills, and MCP integrations.

When should I use Agent Creator?

Agent Creator fits situations like: tasks that involve Building AI agents; tasks that involve MCP servers; tasks that involve Prototyping.

How do I install Agent Creator in Claude Code?

Run `npx skills add curiositech/some_claude_skills --skill agent-creator -a claude-code`. Or copy the skill folder (.claude/skills/agent-creator in curiositech/some_claude_skills) into .claude/skills/agent-creator in your project. Claude Code loads it when a task matches its description.

How do I install Agent Creator in Codex?

Run `npx skills add curiositech/some_claude_skills --skill agent-creator -a codex`. Or copy the skill folder (.claude/skills/agent-creator in curiositech/some_claude_skills) into .agents/skills/agent-creator in your project. Codex loads it when a task matches its description.

Can I use Agent Creator 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 curiositech/some_claude_skills --skill agent-creator -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-creator, .gemini/skills/agent-creator, .github/skills/agent-creator and .opencode/skills/agent-creator in your project.

What does Agent Creator need to run?

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

Does Agent Creator 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 Creator safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Agent Creator use?

Agent Creator 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 Creator use?

About 1.4k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.

What are the alternatives to Agent Creator?

Skills that share tags, products or a category with Agent Creator: Dashclaw Governance (ucsandman/DashClaw, 310 stars), Magic Resume (Magic-Resume/Magic-Resume, 101 stars), Agent Self-Customization (nanocoai/nanoclaw, 31k stars) and Openma (openma-ai/open-managed-agents, 315 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Creator?

curiositech (a GitHub organization) maintains it in curiositech/some_claude_skills, which has 243 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on September 6, 2026.

Source: curiositech/some_claude_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.