Back to Skills

creating-kiro-agents

pr-pm
Updated Today
186 views
62
9
62
View on GitHub
Metaaidesign

About

This skill provides structured guidance for developers creating custom Kiro AI agents, including JSON configurations, tool setups, and prompt patterns. It delivers best practices for building specialized development assistants with proper security and permissions. Use it specifically for Kiro agent workflows, not for generic AI prompts or project documentation.

Quick Install

Claude Code

Recommended
Plugin CommandRecommended
/plugin add https://github.com/pr-pm/prpm
Git CloneAlternative
git clone https://github.com/pr-pm/prpm.git ~/.claude/skills/creating-kiro-agents

Copy and paste this command in Claude Code to install this skill

Documentation

Creating Kiro Agents

Expert guidance for creating specialized Kiro AI agents with proper configuration, tools, and security.

When to Use

Use when:

  • User asks to create a Kiro agent
  • Need specialized AI assistant for specific workflow
  • Building domain-focused development tools
  • Configuring agent tools and permissions

Don't use for:

  • Generic AI prompts (not Kiro-specific)
  • Project documentation (use steering files instead)
  • One-off assistant interactions

Quick Reference

Minimal Agent Structure

{
  "name": "agent-name",
  "description": "One-line purpose",
  "prompt": "System instructions",
  "tools": ["fs_read", "fs_write"]
}

File Location

  • Project: .kiro/agents/<name>.json
  • Global: ~/.kiro/agents/<name>.json

Common Tools

  • fs_read - Read files
  • fs_write - Write files (requires allowedPaths)
  • execute_bash - Run commands (requires allowedCommands)
  • MCP server tools (varies by server)

Core Principles

1. Specialization Over Generalization

Good: backend-api-specialist - Express.js REST APIs ❌ Bad: general-helper - does everything

2. Least Privilege

Grant only necessary tools and paths.

{
  "toolsSettings": {
    "fs_write": {
      "allowedPaths": ["src/api/**", "tests/api/**"]
    },
    "execute_bash": {
      "allowedCommands": ["npm test", "npm run build"]
    }
  }
}

3. Clear, Structured Prompts

Good:

You are a backend API expert specializing in Express.js and MongoDB.

## Focus Areas
- RESTful API design
- Security best practices (input validation, auth)
- Error handling with proper status codes
- MongoDB query optimization

## Standards
- Always use async/await
- Implement proper logging
- Validate all inputs
- Use TypeScript interfaces

Bad: "You are a helpful coding assistant."

Common Patterns

Backend Specialist

{
  "name": "backend-dev",
  "description": "Node.js/Express API development with MongoDB",
  "prompt": "Backend development expert. Focus on API design, database optimization, and security.\n\n## Core Principles\n- RESTful conventions\n- Input validation\n- Error handling\n- Query optimization",
  "tools": ["fs_read", "fs_write", "execute_bash"],
  "toolsSettings": {
    "fs_write": {
      "allowedPaths": ["src/api/**", "src/routes/**", "src/models/**"]
    }
  }
}

Code Reviewer

{
  "name": "code-reviewer",
  "description": "Reviews code against team standards",
  "prompt": "You review code for:\n- Quality and readability\n- Security issues\n- Performance problems\n- Standard compliance\n\nProvide constructive feedback with examples.",
  "tools": ["fs_read"],
  "resources": ["file://.kiro/steering/review-checklist.md"]
}

Test Writer

{
  "name": "test-writer",
  "description": "Writes comprehensive Vitest test suites",
  "prompt": "Testing expert using Vitest.\n\n## Test Requirements\n- Unit tests for all functions\n- Edge case coverage\n- Proper mocking\n- AAA pattern (Arrange, Act, Assert)\n- Descriptive test names",
  "tools": ["fs_read", "fs_write"],
  "toolsSettings": {
    "fs_write": {
      "allowedPaths": ["**/*.test.ts", "**/*.spec.ts", "tests/**"]
    }
  }
}

Frontend Specialist

{
  "name": "frontend-dev",
  "description": "React/Next.js development with TypeScript",
  "prompt": "Frontend expert in React, Next.js, and TypeScript.\n\n## Focus\n- Component architecture\n- Performance optimization\n- Accessibility (WCAG)\n- Responsive design",
  "tools": ["fs_read", "fs_write"],
  "toolsSettings": {
    "fs_write": {
      "allowedPaths": ["src/components/**", "src/app/**", "src/styles/**"]
    }
  }
}

Advanced Configuration

MCP Servers

{
  "mcpServers": {
    "database": {
      "command": "mcp-server-postgres",
      "args": ["--host", "localhost"],
      "env": {
        "DB_URL": "${DATABASE_URL}"
      }
    },
    "fetch": {
      "command": "mcp-server-fetch",
      "args": []
    }
  },
  "tools": ["fs_read", "db_query", "fetch"],
  "allowedTools": ["fetch"]
}

Lifecycle Hooks

{
  "hooks": {
    "agentSpawn": ["git fetch origin", "npm run db:check"],
    "userPromptSubmit": ["git status --short"]
  }
}

Resource Loading

{
  "resources": [
    "file://.kiro/steering/api-standards.md",
    "file://.kiro/steering/security-policy.md"
  ]
}

Workflow

  1. Clarify Requirements

    • What domain/task?
    • What tools needed?
    • What file paths?
    • What standards to follow?
  2. Design Configuration

    • Choose appropriate pattern
    • Set tool restrictions
    • Write clear prompt
    • Reference steering files
  3. Create Agent File

    # Create in project
    touch .kiro/agents/my-agent.json
    
    # Or global
    touch ~/.kiro/agents/my-agent.json
    
  4. Test Agent

    kiro agent use my-agent
    kiro "What can you help me with?"
    

Common Mistakes

MistakeProblemFix
Granting all toolsSecurity riskOnly grant necessary tools
Vague promptsIneffective agentBe specific about domain and standards
No path restrictionsAgent can modify any fileUse allowedPaths for fs_write
Generic namesHard to find/rememberUse descriptive names: react-component-creator
Missing descriptionUnclear purposeAdd one-sentence description
Multiple domainsUnfocused agentCreate separate specialized agents

Best Practices

Naming

  • Use kebab-case: backend-specialist, not BackendSpecialist
  • Be specific: react-testing-expert, not helper
  • Indicate domain: aws-infrastructure, mobile-ui-designer

Prompts

  1. Define expertise area clearly
  2. List specific focus areas
  3. Specify standards/conventions
  4. Provide pattern examples
  5. Set clear expectations

Security

  1. Grant minimum necessary tools
  2. Restrict file paths with allowedPaths
  3. Whitelist commands with allowedCommands
  4. Use allowedTools for safe operations
  5. Validate all configurations

Troubleshooting

Agent Not Found

  • Check file is in .kiro/agents/
  • Verify .json extension
  • Validate JSON syntax (use JSON validator)

Tools Not Working

  • Verify tool names (check spelling)
  • Check allowedPaths restrictions
  • Ensure MCP servers are installed
  • Review allowedTools list

Prompt Ineffective

  • Be more specific about tasks
  • Add concrete examples
  • Reference team standards
  • Structure with markdown headers

Integration with PRPM

# Install Kiro agent from registry
prpm install @username/agent-name --as kiro --subtype agent

# Publish your agent
prpm init my-agent --subtype agent
# Edit canonical format, then:
prpm publish

Real-World Impact

Effective agents:

  • Save time on repetitive tasks
  • Enforce team standards automatically
  • Reduce context switching
  • Provide consistent code quality
  • Enable workflow automation

Example: A test-writer agent that only writes to test files prevents accidental modification of source code while ensuring comprehensive test coverage.


Key Takeaway: Specialize agents for specific domains, restrict tools to minimum necessary, and write clear prompts with concrete standards.

GitHub Repository

pr-pm/prpm
Path: .claude/skills/creating-kiro-agents
claudeclaude-codecursorcursor-ai-editcursorrulespackage-manager

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

creating-opencode-plugins

Meta

This skill provides the structure and API specifications for creating OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It offers implementation patterns for JavaScript/TypeScript modules that intercept and extend the AI assistant's lifecycle. Use it when you need to build event-driven plugins for monitoring, custom handling, or extending OpenCode's capabilities.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill

evaluating-llms-harness

Testing

This Claude Skill runs the lm-evaluation-harness to benchmark LLMs across 60+ standardized academic tasks like MMLU and GSM8K. It's designed for developers to compare model quality, track training progress, or report academic results. The tool supports various backends including HuggingFace and vLLM models.

View skill