home / skills / hhopkins95 / ai-systems / agent-design
This skill helps you configure agent profiles, define capabilities, and orchestrate complex workflows with subagents and commands.
npx playbooks add skill hhopkins95/ai-systems --skill agent-designReview the files below or copy the command above to add this skill to your agents.
---
name: Agent Design
description: This skill should be used when the user asks to "configure agent profile", "add skills to agent", "set up MCP servers", "configure agent tools", "write system prompt", "create agent workflow", "define agent commands", "add subagents", or needs to define what capabilities an agent has and how to orchestrate complex workflows in the runtime.
---
# Agent Design
## Overview
Agent profiles define what an agent can do - its personality, tools, skills, subagents, commands, and integrations. The runtime is architecture-agnostic, supporting both Claude Agent SDK and OpenCode.
## AgentProfile Structure
```typescript
interface AgentProfile {
// Identity
id: string; // Unique identifier
name: string; // Display name
description?: string; // Human-readable description
// Behavior
systemPrompt?: string; // Agent's system prompt
agentMDFile?: string; // Memory file content (CLAUDE.md/AGENT.md)
// Capabilities
tools?: string[]; // Available tools
skills?: ClaudeSkill[]; // Skill definitions
subagents?: ClaudeSubagent[]; // Subagent definitions
commands?: AgentCommand[]; // Command definitions
// Integrations
bundledMCPs?: LocalMcpServer[]; // MCP servers bundled with agent
externalMCPs?: McpServerConfig[];// External MCP servers
// Environment
npmDependencies?: string[]; // npm packages to install
pipDependencies?: string[]; // pip packages to install
environmentVariables?: Record<string, string>;
defaultWorkspaceFiles?: WorkspaceFile[];
}
```
## System Prompt vs Agent Memory File
Both can be used together:
| Field | Purpose | Analogy |
|-------|---------|---------|
| `systemPrompt` | Core personality and instructions | The agent's "DNA" |
| `agentMDFile` | Contextual memory and project knowledge | The agent's "CLAUDE.md" or "AGENT.md" |
**Example:**
```typescript
const profile: AgentProfile = {
id: "code-assistant",
name: "Code Assistant",
// Core behavior - who the agent is
systemPrompt: `You are a senior software engineer. You write clean,
tested code. You explain your reasoning before making changes.`,
// Project context - what the agent knows about this workspace
agentMDFile: `# Project: E-commerce API
## Tech Stack
- Node.js + TypeScript
- PostgreSQL + Prisma
- Jest for testing
## Conventions
- Use kebab-case for files
- All API routes in src/routes/
- Run tests before committing`,
};
```
## Tools Configuration
Available tools for Claude Agent SDK:
```typescript
tools: [
"Read", // Read files
"Write", // Create new files
"Edit", // Edit existing files
"Bash", // Execute shell commands
"Grep", // Search file contents
"Glob", // Find files by pattern
]
```
## Skills
Skills provide specialized knowledge and workflows:
```typescript
interface ClaudeSkill {
name: string; // Skill identifier
description: string; // When to use this skill
skillMd: string; // Main skill content (markdown)
supportingFiles?: { // Additional resources
relativePath: string;
content: string;
}[];
npmDependencies?: string[];
pipDependencies?: string[];
}
```
**Example skill:**
```typescript
skills: [{
name: "api-testing",
description: "Testing REST APIs with curl and validation",
skillMd: `# API Testing Skill
## When to Use
Use this skill when testing API endpoints.
## Process
1. Identify endpoint and method
2. Construct curl command
3. Validate response structure
4. Check status codes
## Common Patterns
\`\`\`bash
# GET request
curl -X GET http://localhost:3000/api/users
# POST with JSON
curl -X POST http://localhost:3000/api/users \\
-H "Content-Type: application/json" \\
-d '{"name": "John"}'
\`\`\``,
supportingFiles: [{
relativePath: "templates/test-script.sh",
content: "#!/bin/bash\ncurl -v $1"
}]
}]
```
## Subagents
Subagents handle delegated tasks during a session:
```typescript
interface ClaudeSubagent {
name: string; // Subagent identifier
description: string; // When main agent should use this
prompt: string; // Subagent's instructions
model?: string; // "sonnet" | "opus" | "haiku" | "inherit"
tools?: string[]; // Allowed tools (subset of main agent)
}
```
**Example:**
```typescript
subagents: [{
name: "test-writer",
description: "Delegate test writing to this subagent",
prompt: `You are a test-writing specialist. Given code, write
comprehensive unit tests. Use Jest. Cover edge cases.`,
model: "haiku", // Use faster model for focused task
tools: ["Read", "Write", "Bash"]
}, {
name: "code-reviewer",
description: "Delegate code review to this subagent",
prompt: `You are a code reviewer. Analyze code for bugs,
security issues, and style problems. Be thorough but constructive.`,
model: "sonnet",
tools: ["Read", "Grep"]
}]
```
## Commands
Commands enable the calling application to trigger specific agent workflows by sending command text as a prompt:
```typescript
interface AgentCommand {
name: string; // Command identifier
prompt: string; // Instructions executed when command is invoked
}
```
**Example:**
```typescript
commands: [{
name: "review-pr",
prompt: `Review the current pull request:
1. Use the code-reviewer subagent to analyze changes
2. Check for security issues using the security-audit skill
3. Verify tests pass by running: npm test
4. Generate a summary with:
- Overview of changes
- Issues found (critical/warning/info)
- Recommendations
Output a structured review report.`
}, {
name: "deploy-staging",
prompt: `Deploy to staging environment:
1. Run all tests: npm test
2. Build the project: npm run build
3. Use the deployment MCP server to push to staging
4. Verify deployment with health check
5. Report deployment status`
}]
```
**Invoking commands:** The calling application sends the command name as a message:
```typescript
// In your React app
const { sendMessage } = useMessages(sessionId);
await sendMessage("/review-pr"); // Triggers the review-pr command
```
## MCP Servers
### Bundled MCP Servers
MCP servers packaged with the agent:
```typescript
interface LocalMcpServer {
name: string; // Server identifier
description: string; // What this server provides
localProjectPath: string; // Path to MCP server project
startCommand: string; // Command to start server
installCommand: string; // Command to install dependencies
}
```
**Example:**
```typescript
bundledMCPs: [{
name: "github-tools",
description: "GitHub API integration for PRs, issues, repos",
localProjectPath: "./mcps/github-server",
startCommand: "tsx src/index.ts",
installCommand: "npm install"
}]
```
### External MCP Servers
Pre-existing MCP servers:
```typescript
externalMCPs: [{
name: "filesystem",
command: "npx",
args: ["-y", "@anthropic-ai/mcp-server-filesystem", "/workspace"]
}]
```
## Workflow Patterns
### Pattern 1: Command-Driven Workflows
Define commands that orchestrate skills, subagents, and tools:
```typescript
commands: [{
name: "full-feature",
prompt: `Implement the requested feature:
Phase 1 - Planning:
- Use the architecture skill to design the approach
- Create a task breakdown
Phase 2 - Implementation:
- Implement core functionality
- Use test-writer subagent for unit tests
Phase 3 - Review:
- Use code-reviewer subagent for review
- Address any critical issues
Phase 4 - Finalize:
- Run full test suite
- Update documentation`
}]
```
### Pattern 2: Skill Chains
Skills that reference other skills:
```typescript
skills: [{
name: "bug-fix",
description: "Systematic bug fixing process",
skillMd: `# Bug Fix Process
1. **Reproduce** - Verify the bug exists
2. **Locate** - Use the debugging skill to find root cause
3. **Fix** - Implement minimal fix
4. **Test** - Use the testing skill to verify
5. **Document** - Update changelog`
}]
```
### Pattern 3: MCP-Enhanced Workflows
Commands that leverage MCP servers:
```typescript
commands: [{
name: "sync-docs",
prompt: `Synchronize documentation:
1. Use the notion-mcp server to fetch latest specs
2. Update local markdown files
3. Use the github-mcp server to create PR
4. Post summary to slack-mcp`
}]
```
## Complete Example
```typescript
const fullAgentProfile: AgentProfile = {
id: "full-stack-dev",
name: "Full Stack Developer",
description: "Complete development assistant",
systemPrompt: `You are a senior full-stack developer. You write
clean, tested, documented code. You think before coding.`,
agentMDFile: `# Project Context
TypeScript monorepo with React frontend and Node.js backend.
Use pnpm. Follow existing patterns.`,
tools: ["Read", "Write", "Edit", "Bash", "Grep", "Glob"],
skills: [{
name: "testing",
description: "Write and run tests",
skillMd: "# Testing\nUse Jest. Cover edge cases. Mock externals."
}],
subagents: [{
name: "reviewer",
description: "Code review",
prompt: "Review code for bugs and style issues.",
model: "haiku",
tools: ["Read", "Grep"]
}],
commands: [{
name: "implement",
prompt: "Plan, implement, test, and review the feature."
}],
bundledMCPs: [{
name: "db-tools",
description: "Database operations",
localProjectPath: "./mcps/db",
startCommand: "node index.js",
installCommand: "npm install"
}],
npmDependencies: ["lodash", "zod"],
environmentVariables: {
NODE_ENV: "development"
}
};
```
## Related Skills
- **overview** - Understanding the runtime architecture
- **backend-setup** - Setting up the backend server
- **react-integration** - Building React frontends
This skill helps define and orchestrate agent behavior, capabilities, and runtime integrations. It covers agent identity, system prompt, memory files, tools, skills, subagents, commands, and MCP server configuration. Use it to create reproducible agent profiles for complex multi-step workflows in TypeScript-based runtimes.
You define an AgentProfile object that declares identity, behavior, available tools, skills, subagents, commands, and MCP servers. The runtime reads that profile to grant tool access, load system prompts and memory files, spin up bundled MCP servers, and route command invocations to the correct flows. Skills and subagents encapsulate reusable processes and can be chained or invoked by commands to orchestrate multi-phase tasks.
Should I put all context in systemPrompt or agentMDFile?
Use systemPrompt for core persona and hard constraints; store project-specific context and long-form memory in agentMDFile so context is maintainable and versionable.
When should I create a subagent versus a skill?
Create a subagent to delegate runtime tasks with distinct models or restricted tools. Use a skill to document reusable processes, templates, and dependency declarations.