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).
npx skills add https://github.com/majiayu000/claude-skill-registry --skill agent-creator
Meta-agent specializing in creating new custom agents, skills, and MCP integrations. Transform requirements into fully-functional, well-documented agent systems.
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
| 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 |
| 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
Official Packages:
@modelcontextprotocol/sdk - Core TypeScript SDK@modelcontextprotocol/create-server - Scaffold new servers@modelcontextprotocol/inspector - Test and debugCreation Steps:
Use for:
Do NOT use for:
What it looks like: Pasting entire documentation into agent
Why wrong: Overwhelming, poor retrieval, bloated context
Instead: Curate essential knowledge, use progressive disclosure
What it looks like: "You are an expert assistant"
Why wrong: No personality, generic outputs
Instead: Specific role, years of experience, communication style
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
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
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 checklistCore 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)
Skill converted from mcp-deploy-manage-agents.prompt.md
Use this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.
Build hosted agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry.
Build MCP (Model Context Protocol) servers on Cloudflare Workers with tools, resources, and prompts.
Chain agent outputs as inputs in sequential or parallel pipelines for data flow orchestration
Audit cloned or reimplemented websites for fidelity gaps, tracking scripts, source-brand and language residue, placeholders, and risky external dependencies. Use before handoff or deployment, or when asked to review a website clone for cleanup and readiness.
> Install and operate Hermes Tweet, a Hermes Agent plugin for X/Twitter research, timeline reading, tweet analysis, and approval-gated tweet actions. Use this skill when installing Hermes Tweet, researching X/Twitter accounts, monitoring launch signals, investigating mentions, auditing giveaways, or preparing guarded tweet actions. Use proactively when a Hermes Agent workflow needs current X/Twitter context. Requires XQUIK_API_KEY for read and action tools.
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.
Take majiayu000/claude-skill-registry-agent-creator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.