Claude Code Agents Reference
Complete reference for creating and managing specialized agents in Claude Code.
Official Documentation: https://docs.claude.com/en/docs/claude-code/sub-agents
Agent Format
---
allowed-tools: |
Tool1, Tool2, Tool3
description: "When this agent should be invoked"
model: inherit # Optional: inherit (default), sonnet, opus, or haiku
---
# Agent Name
## Role
Single, focused purpose (one responsibility only)
## When to Use
Specific triggering scenarios
## Responsibilities
- Focused task 1
- Focused task 2
## Knowledge Base
Domain-specific patterns and practices
Key Features
- Single Responsibility: ONE clear purpose per agent
- Context Isolation: Separate windows prevent pollution
- Clear Triggers: Description defines activation conditions
- Model Selection: Choose optimal model for task (inherit, sonnet, opus, haiku)
- Version Control: Commit project agents to
.claude/agents/
Agent Locations
Agents can be stored in two locations:
| Location | Scope | Use Case | Committed to Git |
|---|---|---|---|
.claude/agents/*.md | Project-level | Shared team agents, project-specific workflows | ✅ Yes |
~/.claude/agents/*.md | User-level | Personal agents, cross-project utilities | ❌ No |
Best Practice:
- Project agents - Domain experts (database, UI, testing) that team shares
- User agents - Personal productivity tools, custom workflows, learning aids
Guidelines for Creating Agents
Single Responsibility
- ONE clear purpose (non-negotiable)
- Isolated Context: Separate context windows prevent pollution
- No Overlap: Verify zero responsibility overlap with existing agents
Description
- Write clear description: "When this agent should be invoked" in frontmatter
- Include triggering scenarios and conditions
Domain Expertise
- Include relevant domain knowledge (e.g., IOTA SDK patterns)
- Document file-type mandates and boundaries
- Specify exact file patterns the agent handles
Model Selection
Agents can specify which model to use:
| Model | Use Case | Cost | Recommendation |
|---|---|---|---|
inherit | Use parent conversation's model | Varies | ✅ Default - recommended for most agents |
sonnet | Balanced performance and cost | Medium | ✅ Best for almost all use cases |
opus | Maximum capability for complex tasks | High | ⚠️ Rarely needed - only for extremely complex reasoning |
haiku | Fast, lightweight tasks | Low | ⚠️ Limited capability - only for simple, well-defined tasks |
Best Practice: Use inherit (default) or explicitly set sonnet. Sonnet provides excellent performance for nearly all agent tasks. Only use opus for exceptionally complex reasoning tasks, or haiku for trivial operations.
Tool Permissions
Recommended patterns:
- ✅
Read(/path/to/module/**)- Restrict to specific paths - ✅
Bash(go test:*),Bash(go vet:*)- Specific patterns - ✅ Tool inheritance when appropriate
Security risks:
- ❌
Bash(*)- Never grant unrestricted access - ❌
Readwithout path restriction - Overly permissive
Built-in Agents
Note: general-purpose is a built-in agent type provided by Claude Code. It does not need to be defined in .claude/agents/ and is always available for complex, multi-step tasks.
Examples
Example 1: Focused Module Agent
---
allowed-tools: |
Read(back/internal/modules/insurance/**), Bash(go test:*), Bash(go vet:*)
description: "Fix failing tests in insurance module only"
---
# Insurance Test Fixer
## Role
Fix failing unit tests in insurance module exclusively.
## When to Use
When `make test` shows insurance module test failures.
## Responsibilities
- Analyze test failures in back/internal/modules/insurance/
- Fix broken tests without changing business logic
- Ensure tests pass with `cd back && go test ./internal/modules/insurance/...`
## Knowledge Base
- Uses IOTA SDK testing patterns (itf.Setup, itf.MockDB)
- Follows table-driven test conventions
- Maintains test isolation and cleanup
Example 2: Repository Agent
---
allowed-tools: |
Read(back/internal/**/*_repository.go), Read(back/internal/**/*_repository_test.go), Edit, Bash(go test:*)
description: "Manage repository layer: interfaces, implementations, and tests"
---
# Repository Expert
## Role
Create, update, and optimize repository layer code.
## When to Use
- Creating new repository interfaces or implementations
- Optimizing database queries
- Fixing repository-related bugs
- Writing repository tests
## Responsibilities
- Define repository interfaces in domain layer
- Implement repositories in infrastructure/persistence layer
- Write comprehensive repository tests
- Optimize query performance
- Ensure tenant isolation in queries
## Knowledge Base
- IOTA SDK repo patterns (QueryBuilder, filters)
- PostgreSQL query optimization
- Transaction handling with pgx
- Multi-tenant query patterns
Example 3: UI Component Agent
---
allowed-tools: |
Read(back/internal/modules/**/*_controller.go), Read(back/internal/modules/**/*_viewmodel.go), Read(back/internal/modules/**/*.templ), Edit, Bash(templ generate:*)
description: "Manage UI layer: controllers, view-models, and templates"
---
# UI Editor
## Role
Create and update presentation layer components.
## When to Use
- Creating new pages or forms
- Updating controllers or view-models
- Modifying Templ templates
- Implementing HTMX interactions
## Responsibilities
- Build controllers with proper auth guards
- Create view-models for data transformation
- Write Templ templates using IOTA SDK components
- Implement HTMX workflows
- Handle i18n with translation keys
## Knowledge Base
- IOTA SDK component library (Form, Table, Modal)
- Templ syntax and best practices
- HTMX patterns (hx-get, hx-post, hx-target)
- Alpine.js for client-side reactivity
- Tailwind CSS design system
Performance Considerations
Context Rebuilding Latency:
- Each agent starts with a fresh context window (not shared with main conversation)
- Initial agent invocation has slight latency while context is built
- Subsequent tool calls within same agent are faster
- Trade-off: Isolated context prevents pollution but requires rebuild time
Optimization Tips:
- Group related tasks in single agent invocation rather than multiple short invocations
- Use
inheritorsonnetmodel for best balance of speed and capability - Design agents with clear, focused responsibilities to minimize context size
Best Practices
- One Responsibility: Each agent handles exactly one domain
- Clear Boundaries: Document which files/patterns the agent manages
- Minimal Permissions: Grant only tools needed for the domain
- Domain Knowledge: Include patterns, conventions, and best practices
- Triggering Conditions: Make it clear when to invoke the agent
- No Overlap: Verify no other agent handles the same files
- Model Selection: Use
inheritorsonnetunless you have specific needs
Quick Reference Examples
Minimal Agent with Restricted Scope
---
allowed-tools: |
Read(back/internal/modules/insurance/**), Bash(go test:*), Bash(go vet:*)
description: "Fix failing tests in insurance module only"
---
# Insurance Test Fixer
## Role
Fix failing unit tests in insurance module exclusively.
## When to Use
When `make test` shows insurance module test failures.
## Responsibilities
- Analyze test failures in back/internal/modules/insurance/
- Fix broken tests without changing business logic
Key Points:
- Restricted
Readpath (insurance module only) - Limited Bash patterns (testing commands only)
- Single responsibility (test fixing)
- Clear triggering condition
Multi-Layer Agent Example
---
allowed-tools: |
Read(back/**/*_controller.go), Read(back/**/*_viewmodel.go), Read(back/**/*.templ), Edit, Bash(templ generate:*)
description: "Manage presentation layer: controllers, view-models, templates"
---
# UI Editor
## Role
Create and update presentation layer components.
## When to Use
- Creating new pages or forms
- Updating controllers or view-models
- Modifying Templ templates
## Responsibilities
- Build controllers with proper auth guards
- Create view-models for data transformation
- Write Templ templates using IOTA SDK components
## Knowledge Base
- IOTA SDK component library
- Templ syntax and best practices
- HTMX patterns (hx-get, hx-post, hx-target)
Key Points:
- Multiple file patterns (controllers, viewmodels, templates)
- Layer-specific scope (presentation only)
- Domain knowledge included
- Clear file-type mandates
Agent vs Command
Use agents when:
- You need context isolation from the main conversation
- The task requires specialized expertise
- You want parallel execution without interference
- The task involves complex, multi-step workflows
Use commands when:
- You need dynamic context loading at invocation time
- The task is a simple workflow that doesn't need isolation
- You want to extend Claude's interface with custom shortcuts
See .claude/guides/claude-code/commands.md for command creation guidance.