Agent Creator
SkillMediaagent-creator is a skill that turns your AI into an agent builder. Once added, it can design and create new custom agents, skills, and integrations for you, guided by expertise in agent design, skill architecture, and rapid prototyping.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, ask your AI to create a new agent or skill and describe what you want it to do. Requests like 'create agent' will get it working.
Then ask your AI: use the Agent Creator skill
What your AI can do with it
- Create custom agents from a description of what you need
- Build new skills your AI can use
- Set up new integrations
- Plan the architecture of a new skill before building it
- Quickly prototype agent ideas
What this skill tells your AI
The instructions your AI receives, as published by curiositech/some_claude_skills in .claude/skills/agent-creator/SKILL.md and read by ahel’s review.
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
| Template | Best For | Key Elements |
|---|---|---|
| Technical Expert | Domain specialists | Problem-solving framework, code examples, best practices |
| Creative/Design | Creative roles | Design philosophy, creative process, quality standards |
| Orchestrator | Coordination | Delegation strategy, integration patterns, QA |
Rapid Prototyping Workflow
| Step | Time | Activity |
|---|---|---|
| 1. Understand Need | 2 min | What capability is missing? |
| 2. Design Persona | 3 min | What expert would solve this? |
| 3. Map Knowledge | 10 min | What do they need to know? |
| 4. Create Structure | 5 min | Organize into template |
| 5. Add Examples | 10 min | Concrete, runnable code |
| 6. Write Docs | 5 min | How to use it |
| 7. Test & Refine | 10 min | Validate 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:
- Define capability (inputs, outputs, purpose)
- Design interface (clean tool schema)
- Implement core logic
- 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
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 templatesreferences/mcp-integration.md- MCP server creation patterns, SDK usagereferences/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)
Signals
- GitHub stars
- 219
- Forks
- 40
- Last commit
- Sep 2026
Others that do the same job
Advanced
- Catalog kind
- skill
- Gateway key
agent-creator-curiositech- Source
- github.com/curiositech/some_claude_skills