# meta-agent-creator > Guide for creating specialized AI agents (subagents). Use when users want to create a new agent, define agent configurations, or need guidance on agent architecture. Triggers: "create an agent", "new agent", "make a subagent", "agent template" - Author: 이영창(piknow) - Repository: practical-stack/ai-lab - Version: 20260125122444 - Stars: 2 - Forks: 0 - Last Updated: 2026-02-06 - Source: https://github.com/practical-stack/ai-lab - Web: https://mule.run/skillshub/@@practical-stack/ai-lab~meta-agent-creator:20260125122444 --- --- name: meta-agent-creator description: | Guide for creating specialized AI agents (subagents). Use when users want to create a new agent, define agent configurations, or need guidance on agent architecture. Triggers: "create an agent", "new agent", "make a subagent", "agent template" --- # Meta-Agent Creator A meta-skill that helps create new specialized agents for multi-agent orchestration systems. Supports Claude Code and OpenCode platforms. > **Output Language**: All generated agent content (prompts, descriptions) will be in **English**. ## Quick Start ### Create a New Agent ```bash # Initialize a new agent bun scripts/init-agent.ts --path --platform # Examples bun scripts/init-agent.ts security-auditor --path src/agents --platform opencode bun scripts/init-agent.ts data-analyst --path .claude/agents --platform claude-code ``` ### Validate Agent ```bash bun scripts/validate-agent.ts # Examples bun scripts/validate-agent.ts src/agents/my-agent.ts bun scripts/validate-agent.ts .claude/agents/my-agent.ts ``` ## Agent Categories Choose the appropriate category based on agent purpose: | Category | Purpose | Model Tier | Examples | |----------|---------|------------|----------| | `exploration` | Fast search, codebase discovery | LOW (haiku/fast) | explore, searcher | | `specialist` | Domain-specific implementation | MEDIUM (sonnet) | frontend, backend | | `advisor` | Read-only consultation | HIGH (opus) | oracle, architect | | `utility` | General helpers | LOW (haiku/fast) | writer, formatter | | `orchestration` | Multi-agent coordination | MEDIUM (sonnet) | orchestrator | ## Agent Creation Workflow (5 Phases) ### Phase 1: DEFINE PURPOSE **Goal**: Clarify agent's role and responsibilities. **Questions to Ask**: 1. "What specific tasks should this agent handle?" 2. "When should the orchestrator delegate to this agent?" 3. "What domain expertise is required?" 4. "Should it be read-only or have write access?" **Deliverables**: - Clear role definition - Trigger conditions for delegation - Required capabilities list - Access level decision (readonly vs full) ### Phase 2: CLASSIFY **Goal**: Determine category and model tier. **Decision Matrix**: | If the agent needs... | Category | Model | Cost | |-----------------------|----------|-------|------| | Fast codebase search | exploration | haiku/fast | FREE | | Specific domain implementation | specialist | sonnet/inherit | CHEAP | | Complex reasoning, architecture | advisor | opus/inherit | EXPENSIVE | | Simple transformations | utility | haiku/fast | FREE | | Delegate to other agents | orchestration | sonnet/inherit | CHEAP | **Deliverables**: - Category assignment - Model tier selection - Cost classification ### Phase 3: DESIGN PROMPT **Goal**: Write effective system prompt. **Prompt Structure**: ```markdown ## Role [1-2 sentence identity and expertise] ## Core Capabilities - [Capability 1] - [Capability 2] ## Workflow 1. [Step 1] 2. [Step 2] ## Output Format [Structured output definition] ## Constraints - [Constraint 1] - [Constraint 2] ``` **Best Practices**: - Keep prompts concise (<500 words) - Use imperative form - Include specific output format - Define clear constraints ### Phase 4: CONFIGURE **Goal**: Create platform-specific configuration. #### OpenCode / Claude Code (TypeScript) Location: `src/agents/.ts` ```typescript export function createMyAgent(model: string): AgentConfig { return { name: "my-agent", description: "Agent description...", mode: "subagent", model, temperature: 0.1, tools: { include: ["read", "glob", "grep"] }, prompt: `System prompt...` }; } ``` ### Phase 5: REGISTER & TEST **Goal**: Add agent to registry and verify functionality. **Registration Checklist**: - [ ] Add to agent definitions/index - [ ] Update orchestrator's available agents list - [ ] Add to delegation table if applicable - [ ] Test with sample delegation **Testing**: 1. Invoke agent with representative task 2. Verify output format matches spec 3. Check tool restrictions are enforced 4. Test edge cases ## Platform Configurations ### OpenCode / Claude Code Agent Fields | Field | Required | Description | |-------|----------|-------------| | `name` | Yes | Agent identifier | | `description` | Yes | Selection guide | | `mode` | Yes | Always `"subagent"` | | `model` | Yes | Model string | | `temperature` | No | Defaults to 0.1 | | `tools` | No | Tool whitelist/blacklist | | `prompt` | Yes | System prompt | ## Common Agent Templates See `references/agent-templates.md` for ready-to-use templates: - Exploration Agent - Verification Agent - Debugger Agent - Security Auditor Agent ## Anti-Patterns to Avoid | Anti-Pattern | Problem | Solution | |--------------|---------|----------| | Vague description | Orchestrator can't decide | Include specific triggers | | Too many tools | Security risk | Minimal tool set | | Long prompts | Slower, harder to maintain | Keep under 500 words | | Generic "helper" | No clear purpose | Single responsibility | | Missing readonly | Security for advisors | Set readonly: true | | Wrong model tier | Cost or quality issues | Match tier to complexity | ## References - **Agent Templates**: See [references/agent-templates.md](references/agent-templates.md) for ready-to-use templates - **Agent Patterns**: See [../meta-skill-creator/references/agent-patterns.md](../meta-skill-creator/references/agent-patterns.md) for architecture guidance