cheatsheet-context-symbols.md 45 KB

OpenCode Context Reference Cheat Sheet

Purpose: Master reference for defining files, agents, and tools in prompts that work seamlessly with OpenCode's automatic tool resolution.


๐ŸŽฏ Quick Reference Table

Type Syntax Auto-Loaded? AI Action Required When to Use
File (Initial) @file.md โœ… Yes โŒ No User's initial prompt
File (Nested) @file.md โŒ No โœ… Yes (read_file) Inside loaded files
Directory @src/components/ โœ… Yes โŒ No Folder context
Sub-Agent (Context) @agent-name โœ… Yes* โŒ No Reference agent info
Sub-Agent (Invoke) task(subagent_type="name") โŒ No โœ… Yes (task tool) Delegate tasks
Shell Command !`command` โœ… Yes โŒ No Inline command output
Config File instructions: [] in opencode.json โœ… Yes โŒ No Always-needed context
Agent (Markdown) .opencode/agent/**/*.md โœ… Auto-registered โŒ No Define agents

๐Ÿ”‘ Key Takeaways

  1. @ in agent markdown = Just informational text
  2. @ in user prompt = OpenCode processes it (loads files/metadata)
  3. To invoke agents = Always use task tool
  4. Agent names = Full path from .opencode/agent/ directory
  5. Don't use @ to list agents in your prompt - it's confusing!

The @ symbol only has special meaning in USER PROMPTS, not in AGENT SYSTEM PROMPTS.


๐Ÿ”ง Shell Commands

Inline Shell Commands (Automatic Execution)

Use the !`command` syntax to execute commands and inline their output into prompts:

# Example: Include git information
Current branch: !`git branch --show-current`
Recent commits: !`git log --oneline -5`

# Example: Include system information  
Node version: !`node --version`
Available memory: !`free -h | grep Mem`

# Example: Include file contents
Database schema: !`cat schema.sql`

# Example: Include directory structure
Project structure:
!`tree -L 2 -I 'node_modules|dist'`

How it works:

  • โœ… Commands execute when prompt is processed
  • โœ… Output is inserted into the prompt text
  • โœ… Great for dynamic context (git status, file lists, system info)
  • โš ๏ธ Commands run in shell with current working directory

Shell Command Patterns

Git Context

## Current Work Context

Branch: !`git branch --show-current`
Modified files: !`git status --short`
Last commit: !`git log -1 --pretty=format:'%h - %s'`
Uncommitted changes:
!`git diff --stat`

Project Structure

## Project Layout

!`find src -type f -name '*.ts' | head -20`

## Component Structure  

!`tree src/components -L 2`

Environment Information

## Environment

Node: !`node --version`
npm: !`npm --version`
OS: !`uname -a`

File Content Snippets

## Configuration

Current eslint rules:
!`cat .eslintrc.json`

Package scripts:
!`cat package.json | jq .scripts`

When to Use Shell Commands vs Tools

Scenario Use Shell ! Syntax Use run_terminal_cmd Tool
Static context in prompt โœ… โŒ
Git information โœ… โŒ
File contents โœ… โŒ
Interactive AI execution โŒ โœ…
Based on AI decisions โŒ โœ…
Build/test commands โŒ โœ…
Requires error handling โŒ โœ…

๐Ÿ“ File References

Initial Prompt (Automatic)

When you type this in your prompt:

Follow guidelines in @GUIDELINES.md
Use patterns from @src/patterns/

OpenCode automatically:

  • โœ… Reads GUIDELINES.md
  • โœ… Lists src/patterns/ directory
  • โœ… Attaches content to AI context
  • โŒ Does NOT read nested @ references inside these files

Nested References (Requires AI Action)

When GUIDELINES.md contains:

Also see @CODE_STYLE.md and @TESTING.md

OpenCode does:

  • โŒ Does NOT automatically read these
  • โœ… AI sees them as plain text

To make AI read them, use explicit instructions:

# GUIDELINES.md

โš ๏ธ **CRITICAL**: Before proceeding, read these files using read_file:

1. @CODE_STYLE.md - Coding standards (READ FIRST)
2. @TESTING.md - Testing patterns (READ FIRST)  
3. @ARCHITECTURE.md - System design (READ FIRST)

[rest of your guidelines...]

Key phrases that work:

  • โœ… READ FIRST
  • โœ… use read_file tool
  • โœ… CRITICAL: Read these files
  • โœ… Load immediately before proceeding

๐Ÿค– Sub-Agent References

โš ๏ธ CRITICAL: Agent Context vs Agent Invocation

IMPORTANT DISTINCTION: Agent Files vs Agent Names

Understanding the Difference

Agent File (Documentation):

  • Path: .opencode/agents/subagents/core/taskmanager.md
  • This is a MARKDOWN FILE describing the agent
  • Use @.opencode/agents/subagents/core/taskmanager.md to load file content
  • Result: Loads documentation/instructions as text

Agent Name (System Registration):

  • Name: taskmanager (registered in OpenCode)
  • This is the actual AGENT that can execute tasks
  • Use task(subagent_type="taskmanager", ...) to invoke
  • Result: Agent runs and performs work

Scenario 1: Using @agent-name (USUALLY NOT RECOMMENDED)

When you use @agent-name in your initial prompt:

Use @reviewer agent for code review

What happens:

  1. โœ… OpenCode checks if it's a file at that path
  2. โŒ File doesn't exist โ†’ Checks if it's a registered agent
  3. โœ… If agent exists: Attaches agent metadata as context (name, description, tools)
  4. โŒ Does NOT invoke/run the agent
  5. โš ๏ธ This loads agent info but doesn't execute anything

Result: AI knows the agent exists but doesn't execute it.

When to use: Rarely needed. Only if you want to reference agent capabilities in context.

Scenario 2: Agent Invocation (RECOMMENDED)

To actually run an agent and execute tasks:

// AI must explicitly call the task tool
task(
  subagent_type="CodeReviewer",
  description="Review code",
  prompt="Review the auth implementation for security issues"
)

Result: Agent executes and returns results.

When to use: Always - this is how you actually invoke agents.

Scenario 3: Loading Agent Documentation Files

If you have agent documentation files:

# Initial prompt
Follow guidelines in @.opencode/agents/subagents/core/taskmanager.md

What happens:

  1. โœ… Loads the file content as context
  2. โŒ Does NOT invoke the agent
  3. โœ… Good for loading agent usage instructions

When to use: When you want to load documentation about how to use agents.


Best Practice: Clear Agent Instructions

โŒ DON'T write this (confusing - uses @ for agents):

Use @reviewer to review code
Review with @taskmanager agent

Problems:

  • Loads agent metadata, doesn't invoke
  • AI might be confused about how to use it
  • Mixing file syntax with agent invocation

โœ… DO write this (clear and explicit):

Option 1: If you have agent documentation files

# Load agent documentation (file)
@.opencode/agents/subagents/core/taskmanager.md

# Then instruct AI how to invoke (not using @)
**Agent: `taskmanager`**
- Purpose: Task planning and breakdown
- Invoke with: task(subagent_type="taskmanager", description="Plan X", prompt="Break down feature Y")

Option 2: Direct invocation instructions (no @ at all)

**Agent: `reviewer`** - Code review agent
- Purpose: Review code for quality and security
- When: After implementing features
- Invoke with: task(subagent_type="CodeReviewer", description="Review X", prompt="Review Y for Z issues")

**DO NOT use @reviewer** - This loads metadata, not invocation
**ALWAYS use task tool** - This actually runs the agent

Listing Sub-Agents

# Available Sub-Agents

โš ๏ธ **IMPORTANT**: These agents are NOT loaded as context. You MUST invoke them using the `task` tool:

## Code Agents

**Agent: `tester`** (DO NOT use @tester as context reference)
- **Purpose**: Test generation and execution
- **When to invoke**: After implementing features, before commits
- **Tool call**: 
  ```javascript
  task(
    subagent_type="TestEngineer",
    description="Test auth",
    prompt="Write comprehensive tests for auth module with >80% coverage"
  )

Agent: reviewer (DO NOT use @reviewer as context reference)

  • Purpose: Code review and quality checks
  • When to invoke: After completing code changes
  • Tool call: javascript task( subagent_type="CodeReviewer", description="Review changes", prompt="Review the authentication implementation for security vulnerabilities, code quality, and best practices" )

Core Agents

Agent: planner (DO NOT use @planner as context reference)

  • Purpose: Project planning and task breakdown
  • When to invoke: Starting large features or projects
  • Tool call: javascript task( subagent_type="planner", description="Plan feature", prompt="Break down the payment system feature into implementable tasks with dependencies" ) ```

Proactive Sub-Agent Invocation

To make the AI automatically invoke sub-agents at appropriate times:

## Agent Automation Rules

**CRITICAL**: Agents are invoked via `task` tool, NOT by referencing them with @.

**After completing code changes, ALWAYS:**
1. Invoke the `tester` agent using `task` tool to write and run tests
2. Invoke the `reviewer` agent using `task` tool to review code quality
3. Report results back to the user

**Example workflow:**
1. User requests feature
2. You implement the code
3. Automatically call: 
   ```javascript
   task(subagent_type="TestEngineer", description="Test feature", prompt="Write tests for X")
  1. Automatically call: javascript task(subagent_type="CodeReviewer", description="Review feature", prompt="Review X for quality")
  2. Summarize results for user

Important:

  • Sub-agents return results ONLY to you. You must summarize for the user.
  • DO NOT use @agent-name syntax to invoke agents
  • ALWAYS use the task tool for agent invocation ```

๐Ÿ› ๏ธ Tool References

Built-in OpenCode Tools

## Available Tools

**File Operations**
- `read_file` - Read file contents (supports line ranges)
- `write_file` - Create or overwrite files  
- `search_replace` - Edit files with precision
- `list_dir` - List directory contents
- `glob_file_search` - Find files by pattern

**Code Operations**
- `grep` - Search code with ripgrep
- `codebase_search` - Semantic code search

**Execution**
- `run_terminal_cmd` - Execute shell commands
- `task` - Invoke sub-agents

**Planning**
- `todo_write` - Create and manage task lists

When to Reference Tools

# Task Instructions

When you need to find configuration files, use `glob_file_search` to locate them.

When analyzing code patterns, use `codebase_search` for semantic understanding.

When editing code, use `search_replace` for precision rather than rewriting entire files.

๐Ÿ’ก Complete Example: Index File

Here's a production-ready index file that works perfectly with OpenCode:

# Project Context Index

## ๐Ÿ“‹ Quick Start

**CRITICAL INSTRUCTION**: Before proceeding with ANY task:
1. Read the files marked `[READ FIRST]` using the `read_file` tool
2. Review the available sub-agents below
3. Follow the coding standards and patterns defined in these files

---

## ๐Ÿ“š Core Documentation [READ FIRST]

Load these files immediately using `read_file`:

- @docs/CODING_STANDARDS.md - TypeScript/React coding patterns
- @docs/TESTING_STRATEGY.md - Test requirements and patterns
- @docs/ARCHITECTURE.md - System design and component structure
- @.opencode/WORKFLOWS.md - Development workflows and CI/CD

---

## ๐Ÿค– Available Sub-Agents

Use the `task` tool to invoke these specialized agents:

### Development Agents

**@subagents/code/implementer** - Complex feature implementation
```javascript
task(
  subagent_type="implementer",
  description="Implement user auth",
  prompt="Create complete authentication system with JWT tokens, including login, logout, and session management. Follow patterns in @docs/ARCHITECTURE.md"
)

@TestEngineer - Test generation and execution

task(
  subagent_type="TestEngineer", 
  description="Test auth system",
  prompt="Write comprehensive unit and integration tests for the authentication module. Ensure >80% coverage. Run tests and report results."
)

@CodeReviewer - Code quality and security review

task(
  subagent_type="CodeReviewer",
  description="Review auth code",
  prompt="Review the authentication implementation for security vulnerabilities, code quality, and adherence to @docs/CODING_STANDARDS.md. Provide specific improvement suggestions."
)

Documentation Agents

@subagents/docs/technical-writer - API and code documentation

task(
  subagent_type="technical-writer",
  description="Document auth API", 
  prompt="Generate comprehensive API documentation for the authentication endpoints, including request/response examples and error codes."
)

Planning Agents

@subagents/core/architect - System design and planning

task(
  subagent_type="architect",
  description="Design payment system",
  prompt="Design a payment processing system architecture that integrates with Stripe. Break down into implementable tasks. Consider scalability and error handling."
)

๐Ÿ”„ Automated Workflows

After Implementing Code

ALWAYS execute this workflow:

  1. Test - Invoke @TestEngineer to validate implementation
  2. Review - Invoke @CodeReviewer for quality check
  3. Document - Update relevant documentation
  4. Report - Summarize results to user with:
    • What was implemented
    • Test results and coverage
    • Any issues found in review
    • Next recommended steps

Before Starting Large Features

ALWAYS execute this workflow:

  1. Plan - Invoke @subagents/core/architect for design
  2. Load Context - Read relevant documentation from @docs/
  3. Break Down - Create detailed TODO list with todo_write
  4. Confirm - Ask user to confirm approach

๐Ÿ“– Additional Context Files

Code Patterns & Examples

For specific implementation patterns, read these on-demand:

  • @examples/api-patterns.ts - REST API implementation patterns
  • @examples/component-patterns.tsx - React component patterns
  • @examples/test-patterns.test.ts - Testing patterns and fixtures
  • @examples/error-handling.ts - Error handling strategies

Configuration Files

Reference these when setting up tools or CI/CD:


๐ŸŽฏ Tool Usage Guidelines

File Search Strategy

  1. Known filename: Use read_file directly
  2. Pattern match: Use glob_file_search (e.g., "*.test.ts")
  3. Semantic search: Use codebase_search (e.g., "authentication logic")
  4. Text search: Use grep for exact text matches

Editing Strategy

  1. Small changes: Use search_replace for precision
  2. New files: Use write_file
  3. Large refactors: Consider sub-agent with task tool

Execution Strategy

  1. Simple commands: Use run_terminal_cmd
  2. Complex workflows: Create shell scripts first
  3. Multistep tasks: Use sub-agents with task tool

โš ๏ธ Common Pitfalls to Avoid

โŒ DON'T DO THIS:

# Bad: Using @ syntax for agent invocation
Use @tester when needed
Review with @reviewer after coding

# Bad: Treating agents like files
Read @tester for testing guidelines
See @reviewer documentation

# Bad: Vague agent reference
Use the tester agent when needed

# Bad: Assuming nested files are auto-loaded
See @guidelines.md (which references @other.md)

# Bad: Not specifying how to invoke
Available agents: tester, reviewer, planner

# Bad: Mixing context and invocation
Use @agent-name to run the agent

โœ… DO THIS:

# Good: Explicit tool call for agent invocation
**Agent: `tester`** - Invoke ONLY via task tool:
task(subagent_type="TestEngineer", description="Test feature", prompt="Write comprehensive tests for X")

# Good: Clear separation of concerns
**File**: @docs/testing-guide.md - Load with read_file
**Agent**: `tester` - Invoke with task tool

# Good: Explicit read instruction for nested refs
**CRITICAL**: Read @guidelines.md, then read all files it references using read_file

# Good: Clear tool invocation
Use the `codebase_search` tool to find authentication logic

# Good: Proactive invocation instruction
After implementing code, ALWAYS invoke the tester agent:
task(subagent_type="TestEngineer", description="Test X", prompt="Write and run tests for X")

๐Ÿš€ Quick Start Template

Copy this template to create your own index:

# [Project Name] Context Index

## ๐ŸŽฏ Before Starting ANY Task

**CRITICAL**: Load these files first using `read_file`:
1. @[PATH_TO_GUIDELINES]
2. @[PATH_TO_STANDARDS]
3. @[PATH_TO_ARCHITECTURE]

---

## ๐Ÿค– Sub-Agents (MUST use `task` tool to invoke)

**Agent: `[AGENT_NAME]`** (DO NOT use @[AGENT_NAME] as context)
- Purpose: [Description]
- When to invoke: [When to invoke]
- Tool call: 
  ```javascript
  task(
    subagent_type="[AGENT_NAME]",
    description="[SHORT_DESC]",
    prompt="[DETAILED_TASK_INSTRUCTIONS]"
  )

๐Ÿ”„ Standard Workflows

After Code Changes

  1. Invoke tester agent via task tool
  2. Invoke reviewer agent via task tool
  3. Report results to user

Example:

// Step 1: Test
task(subagent_type="[TESTER_AGENT]", description="Test feature", prompt="Write tests for X")

// Step 2: Review
task(subagent_type="[REVIEWER_AGENT]", description="Review feature", prompt="Review X for quality")

// Step 3: Summarize results for user

๐Ÿ“š Reference Files (Load on-demand)

  • @[FILE_PATH] - Description


---

## ๐Ÿ” Verification Checklist

Before sharing your index file, verify:

- [ ] All **file** references use `@` prefix
- [ ] Agent references use `task` tool, NOT `@` syntax
- [ ] Agent names are plain text (e.g., `tester`), not `@tester`
- [ ] Nested file references have explicit "READ FIRST" instructions
- [ ] Sub-agents have complete `task()` tool call examples
- [ ] Sub-agents show when/why to invoke them
- [ ] Clear distinction between files (@file.md) and agents (task tool)
- [ ] Automated workflows use `task` tool for agents
- [ ] Tool usage instructions are specific
- [ ] No ambiguous or vague instructions
- [ ] No mixing of @ syntax for agents

---

## ๐Ÿ“ Quick Reference Notes

- **Files**: Use `@path/to/file.md` in prompts (auto-loaded initially, nested require read_file)
- **Agent Files**: Use `@.opencode/agents/subagents/core/agent.md` to load documentation
- **Agent Invocation**: Use `task` tool, NOT `@agent-name` syntax
- **Agent Names**: Plain text only (e.g., `taskmanager`), never `@taskmanager`
- **Shell**: Use `` !`command` `` for automatic execution in prompts
- **Key Rule**: `@` is for FILES only, `task` tool is for AGENTS
- **Rare Exception**: `@agent-name` loads agent metadata (usually not needed)

---

## ๐ŸŽจ Advanced Patterns

### Combining Multiple Context Types

```markdown
# Complete Feature Context

## Files to Read [READ FIRST]
@docs/auth-spec.md
@src/auth/types.ts

## Current Implementation
!`find src/auth -type f -name '*.ts'`

## Git Context
Branch: !`git branch --show-current`
Changes: !`git diff --name-only`

## Environment
Node: !`node --version`
Dependencies: !`npm list --depth=0 | grep auth`

## Sub-Agents Available

**@subagents/code/implementer** - Use for implementation
**@TestEngineer** - Use for testing

## Task
Implement the authentication flow following @docs/auth-spec.md

Dynamic File Loading

# Load All Test Files

Test files in project:
!`find . -name "*.test.ts" -o -name "*.spec.ts"`

**INSTRUCTION**: Read all test files above using `read_file` to understand testing patterns.

Conditional Context

# Database Migration Context

## Current Migration Status
!`npm run db:status 2>&1`

## Latest Migration
!`ls -t migrations/ | head -1 | xargs cat`

**If migrations are pending**: Read @docs/migration-guide.md
**If migrations are up-to-date**: Proceed with schema changes

Nested Shell Commands with File References

# Component Analysis

## All React Components
!`find src -name "*.tsx" | grep -v test`

## Component Guidelines
@docs/component-patterns.md

**CRITICAL**: 
1. Review the component list above
2. Read @docs/component-patterns.md using `read_file`
3. Ensure new components follow established patterns

๐Ÿ”— Shell Command Cheat Sheet

Git Commands

# Current branch
!`git branch --show-current`

# Recent commits
!`git log --oneline -n 10`

# Modified files
!`git status --short`

# Diff summary
!`git diff --stat`

# Authors
!`git shortlog -sn --all`

# Current commit hash
!`git rev-parse HEAD`

File System Commands

# List TypeScript files
!`find src -name "*.ts" -type f`

# Count lines of code
!`find src -name "*.ts" | xargs wc -l | tail -1`

# Recent files
!`ls -lt src | head -10`

# Directory tree
!`tree -L 3 -I 'node_modules|dist|.git'`

# File size summary
!`du -sh src/*`

Project Info Commands

# Package version
!`cat package.json | jq -r .version`

# Dependencies
!`npm list --depth=0`

# Scripts
!`cat package.json | jq .scripts`

# Node version
!`node --version`

# npm version
!`npm --version`

Search Commands

# Find TODO comments
!`grep -r "TODO" src --include="*.ts"`

# Find FIXME comments
!`grep -r "FIXME" src --include="*.ts"`

# Find specific function
!`grep -rn "function authenticate" src`

# Count test files
!`find . -name "*.test.ts" | wc -l`

System Commands

# OS info
!`uname -a`

# Memory usage
!`free -h`

# Disk usage
!`df -h .`

# Process list (filtered)
!`ps aux | grep node`

๐ŸŽฏ Complete Real-World Example

# Feature Implementation: User Authentication

## Pre-Flight Context Loading

### CRITICAL: Read These Files First
1. @docs/CODING_STANDARDS.md
2. @docs/AUTH_ARCHITECTURE.md  
3. @src/auth/interfaces.ts
4. @tests/auth/auth.test.ts

### Current State

**Branch**: !`git branch --show-current`

**Modified Files**:
!`git status --short`

**Existing Auth Files**:
!`find src/auth -name "*.ts" -type f`

**Test Coverage**:
!`npm run test:coverage -- src/auth 2>&1 | tail -5`

### Dependencies

**Current Auth Libraries**:
!`npm list | grep -E "(passport|jwt|bcrypt)"`

**Node Version**: !`node --version`

## Sub-Agents Available

**@subagents/code/implementer** - Feature implementation
- Use when: Implementing new auth flows
- Example: `task(subagent_type="implementer", description="OAuth flow", prompt="Implement OAuth2 flow with Google, following patterns in @docs/AUTH_ARCHITECTURE.md")`

**@TestEngineer** - Test creation
- Use when: After implementing auth features  
- Example: `task(subagent_type="TestEngineer", description="Test OAuth", prompt="Write integration tests for OAuth2 flow with >90% coverage")`

**@subagents/security/auditor** - Security review
- Use when: Before deploying auth changes
- Example: `task(subagent_type="auditor", description="Audit auth", prompt="Review auth implementation for security vulnerabilities, SQL injection, XSS, and CSRF")`

## Implementation Workflow

### Step 1: Context Loading
1. Read all files marked [READ FIRST]
2. Review current implementation: !`cat src/auth/auth.service.ts`
3. Review existing tests: !`cat tests/auth/auth.test.ts`

### Step 2: Implementation
1. Implement feature following @docs/CODING_STANDARDS.md
2. Follow patterns from @src/auth/interfaces.ts
3. Update types in @src/auth/types.ts

### Step 3: Testing
1. Invoke tester agent via `task` tool for test creation
   ```javascript
   task(subagent_type="TestEngineer", description="Test auth", prompt="Write tests for auth module")
  1. Run tests: Use run_terminal_cmd for npm test
  2. Verify coverage meets requirements

Step 4: Review

  1. Invoke security auditor agent via task tool javascript task(subagent_type="auditor", description="Security audit", prompt="Review auth for vulnerabilities")
  2. Address any issues found
  3. Re-run tests after fixes

Step 5: Documentation

  1. Update @docs/AUTH_ARCHITECTURE.md with changes
  2. Add inline code documentation
  3. Update API documentation

Reference Files (Load on-demand)

  • @docs/api/auth-endpoints.md - API documentation
  • @examples/auth-examples.ts - Usage examples
  • @config/auth.config.ts - Configuration options

Additional Context

Database Schema: !cat migrations/latest_auth_schema.sql

Environment Variables: !cat .env.example | grep AUTH


REMEMBER:

  • Files: Use @filename (nested require read_file)
  • Agents: Use task tool, NOT @agent-name
  • Shell: !`cmd` executes automatically in prompt
  • Agent names are plain text (e.g., tester), never @tester ```

๐Ÿ“ Notes

  • Auto-loaded: Initial @ references in YOUR prompt (files only)
  • Requires tool call: Nested @ references in loaded files
  • Agent as context: @agent-name in initial prompt attaches agent info (not invocation)
  • Agent invocation: Always requires task tool call - NEVER use @ syntax
  • Shell commands: !`command` syntax executes automatically in prompt processing
  • Tool commands: run_terminal_cmd for AI-driven execution during conversation
  • Key distinction: Files use @, Agents use task tool

๐ŸŽฏ Quick Decision Tree

Need to load a file?

  • Initial prompt โ†’ Use @path/to/file.md
  • Nested reference โ†’ Add "READ FIRST" instruction for AI to use read_file
  • Agent docs โ†’ Use @.opencode/agents/subagents/core/agent.md (file path)

Need to invoke an agent?

  • โŒ NEVER use @agent-name syntax for invocation
  • โœ… AI must call task(subagent_type="name", ...)
  • โœ… Use plain agent names (e.g., taskmanager, not @taskmanager)
  • โœ… Add clear invocation instructions in your context
  • โš ๏ธ Using @agent-name only loads metadata (rarely useful)

Need to run a command?

  • Static context โ†’ Use !`command` in prompt
  • AI-driven execution โ†’ AI uses run_terminal_cmd tool

Structure Example:

Files (use @):          Agents (use task):
@docs/guide.md          task(subagent_type="CodeReviewer", ...)
@src/types.ts           task(subagent_type="TestEngineer", ...)
@.opencode/agents/      [agent name without @]
  taskmanager.md        


๐ŸŽฏ THE PERFECT PROMPT TEMPLATE

Use this template to avoid ALL confusion and work seamlessly with OpenCode:

Template Structure

# [Task Name]

## ๐Ÿ“‹ Context Files (Load with read_file tool)

**CRITICAL**: Read these files FIRST using the `read_file` tool:
1. @docs/coding-standards.md
2. @docs/architecture.md
3. @src/types/core.ts

---

## ๐Ÿ“š Additional Documentation (Auto-loaded)

Current git status:
Branch: !`git branch --show-current`
Recent changes: !`git status --short`

Project structure:
!`find src -type d -maxdepth 2`

---

## ๐Ÿค– Available Agents (Invoke via task tool ONLY)

**IMPORTANT**: DO NOT use @ syntax for agents. Use the `task` tool to invoke.

### Agent: `implementer`
**Purpose**: Complex feature implementation
**When to invoke**: When implementing new features or major refactors
**How to invoke**:
```javascript
task(
  subagent_type="implementer",
  description="Implement feature X",
  prompt="Create complete implementation of X following @docs/architecture.md patterns. Include error handling and validation."
)

Agent: tester

Purpose: Test creation and execution When to invoke: After implementing features, before committing How to invoke:

task(
  subagent_type="TestEngineer",
  description="Test feature X",
  prompt="Write comprehensive tests for X with >80% coverage. Run tests and report results."
)

Agent: reviewer

Purpose: Code review and quality checks When to invoke: After code changes, before finalizing How to invoke:

task(
  subagent_type="CodeReviewer",
  description="Review feature X",
  prompt="Review the implementation of X for code quality, security vulnerabilities, and adherence to @docs/coding-standards.md"
)

๐Ÿ”„ Required Workflow

After implementing ANY code:

  1. Invoke tester agent using task tool
  2. Invoke reviewer agent using task tool
  3. Summarize results to user

๐ŸŽฏ Your Task

[Describe the specific task here]


โš ๏ธ Important Reminders

  • Files: Use @path/to/file.md syntax
  • Agent invocation: Use task(subagent_type="name", ...)
  • NEVER use @agent-name to invoke agents
  • Agent names are plain text: tester, reviewer, NOT @tester ```

Real-World Example: Perfect Prompt

# Implement User Authentication System

## ๐Ÿ“‹ Context Files (Load FIRST)

**CRITICAL**: Use `read_file` tool to load these before starting:
1. @docs/CODING_STANDARDS.md - TypeScript coding patterns
2. @docs/AUTH_ARCHITECTURE.md - Authentication design patterns
3. @src/auth/types.ts - Existing auth type definitions
4. @tests/auth/auth.test.ts - Existing test patterns

---

## ๐Ÿ“š Current State (Auto-loaded)

**Git Context**:
Branch: !`git branch --show-current`
Modified: !`git status --short`

**Existing Auth Files**:
!`find src/auth -name "*.ts" -type f`

**Dependencies**:
!`npm list | grep -E "(jwt|bcrypt|passport)"`

---

## ๐Ÿค– Available Agents

### Agent: `implementer`
Purpose: Feature implementation
Invoke with:
```javascript
task(
  subagent_type="implementer",
  description="Implement auth flow",
  prompt="Create authentication system with JWT tokens, including login, logout, and session management. Follow patterns in @docs/AUTH_ARCHITECTURE.md. Include middleware, controllers, and services."
)

Agent: tester

Purpose: Test creation Invoke with:

task(
  subagent_type="TestEngineer",
  description="Test auth system",
  prompt="Write unit and integration tests for authentication module. Cover login, logout, token refresh, and session management. Ensure >85% coverage. Run tests and report results."
)

Agent: reviewer

Purpose: Security and quality review Invoke with:

task(
  subagent_type="CodeReviewer",
  description="Review auth implementation",
  prompt="Review authentication implementation for security vulnerabilities (SQL injection, XSS, CSRF), proper token handling, password security, and adherence to @docs/CODING_STANDARDS.md"
)

๐Ÿ”„ Required Workflow

You MUST follow this workflow:

  1. Read Context: Load all files marked [CRITICAL] above
  2. Implement: Create the authentication system
  3. Test: Invoke tester agent via task tool
  4. Review: Invoke reviewer agent via task tool
  5. Report: Summarize implementation, test results, and review findings

๐ŸŽฏ Task Details

Implement a complete authentication system with:

  • JWT-based authentication
  • Login/logout endpoints
  • Token refresh mechanism
  • Session management
  • Password hashing with bcrypt
  • Middleware for protected routes

Requirements:

  • Follow patterns in @docs/AUTH_ARCHITECTURE.md
  • Adhere to @docs/CODING_STANDARDS.md
  • Integrate with existing user model in @src/models/user.ts
  • Add proper error handling
  • Include request validation

โš ๏ธ Important Rules

  • Load files with @ syntax: @docs/file.md
  • Invoke agents with task tool: task(subagent_type="name", ...)
  • NEVER use @agent-name to invoke agents
  • Agent names are plain text: tester, NOT @tester
  • Shell commands auto-execute: !git status ```

๐Ÿ“ Anti-Pattern Examples (What NOT To Do)

โŒ BAD PROMPT (Confusing)

Use @tester and @reviewer agents to test the code.
Follow @guidelines and implement authentication.

Problems:

  • Uses @ for agents (only loads metadata, doesn't invoke)
  • No clear invocation instructions
  • Mixing file and agent syntax
  • No explicit workflow

โœ… GOOD PROMPT (Clear)

# Implement Authentication

## Context Files
**Read these using read_file tool:**
- @docs/guidelines.md

## Agents
**Agent: `tester`** - Invoke with task tool:
task(subagent_type="TestEngineer", description="Test auth", prompt="...")

**Agent: `reviewer`** - Invoke with task tool:
task(subagent_type="CodeReviewer", description="Review auth", prompt="...")

## Workflow
1. Read @docs/guidelines.md
2. Implement feature
3. Invoke tester agent via task tool
4. Invoke reviewer agent via task tool

๐ŸŽจ Prompt Templates by Use Case

Template 1: Simple Feature Implementation

# Implement [Feature Name]

## Context
Read: @docs/standards.md

Git status: !`git status --short`

## Task
[Detailed description]

## No Agents Needed
(Simple task, no agents required)

Template 2: Complex Feature with Agents

# Implement [Complex Feature]

## Context Files (Read FIRST)
1. @docs/standards.md
2. @docs/architecture.md

## Current State
!`git status --short`
!`find src/[module] -name "*.ts"`

## Available Agents

**Agent: `implementer`**
Invoke: task(subagent_type="implementer", description="...", prompt="...")

**Agent: `tester`**
Invoke: task(subagent_type="TestEngineer", description="...", prompt="...")

## Workflow
1. Read context files
2. Implement feature
3. Invoke tester agent
4. Report results

Template 3: Code Review Task

# Review [Feature/Module]

## Context
Files to review:
!`git diff --name-only main...HEAD`

Recent changes:
!`git log --oneline -5`

## Agent

**Agent: `reviewer`**
Invoke immediately:
task(
  subagent_type="CodeReviewer",
  description="Review recent changes",
  prompt="Review all changes in current branch for code quality, security, and adherence to standards"
)

## Task
Run code review and report findings.

Template 4: Documentation Task

# Document [Feature]

## Context
Implementation files:
!`find src/[module] -name "*.ts"`

## Agent

**Agent: `documenter`**
Invoke: task(subagent_type="documenter", description="Document X", prompt="...")

## Task
Generate comprehensive documentation for [feature].

๐Ÿ”‘ Golden Rules for Perfect Prompts

  1. Files: Always use @path/to/file.md
  2. Agents: Always use task(subagent_type="name", ...)
  3. Shell: Always use !`command` for dynamic context
  4. Clarity: Separate files, agents, and tasks into clear sections
  5. Workflow: Always specify the execution order
  6. Agent Names: Plain text only - tester, never @tester
  7. Context First: Load all context before describing the task
  8. Explicit Instructions: Tell AI exactly when and how to invoke agents

๐ŸŽฏ REAL-WORLD EXAMPLE: Your Agent Setup

Based on your actual agent configurations (task-manager subagent + orchestration agent):

Your Agent Files Structure & Naming

CRITICAL: Agents are defined in MARKDOWN files. The agent NAME comes from the FILE PATH!

.opencode/
  agent/                          # All agents as markdown files
    subagents/
      core/
        task-manager.md           # Agent name: "TaskManager"
    orchestration-agent.md        # Agent name: "orchestration-agent"
    code/
      reviewer.md                 # Agent name: "code/reviewer"
      tester.md                   # Agent name: "code/tester"

Markdown Agent File Format:

---
description: "Brief description of agent"
mode: subagent                    # or "primary" or "all"
temperature: 0.2
tools:
  read: true
  write: true
  edit: true
  bash: true
  task: true
permissions:
  edit:
    "**/*.secret": "deny"
  bash:
    "rm -rf *": "deny"
---

# Agent Prompt Content Here

Your agent instructions, personality, rules, etc.
All the markdown content becomes the agent's system prompt.

How OpenCode determines agent names (from source code):

  1. Scans .opencode/agent/**/*.md files recursively
  2. Parses YAML frontmatter (between --- markers) for config
  3. Uses markdown content as the agent's system prompt
  4. Agent name = file path from agent/ directory (minus .md)

Examples:

  • File: .opencode/agent/task-manager.md โ†’ Name: task-manager
  • File: .opencode/agent/TaskManager.md โ†’ Name: TaskManager
  • File: .opencode/agent/code/reviewer.md โ†’ Name: code/reviewer

No opencode.json needed! Everything is in markdown.

โŒ WRONG: Confusing Prompt

Use @task-manager to break down the feature
Have @orchestration-agent coordinate the work

Problems:

  • Using @ for agent invocation (only loads metadata)
  • AI won't actually invoke the agents
  • Wrong agent name - should include full path: TaskManager
  • Confusing agent files with agent invocation

โœ… CORRECT: Clear Prompt

# Implement User Dashboard Feature

## ๐Ÿ“‹ Context Files (Load FIRST)

**Agent Documentation** (optional - only if you need to understand agent capabilities):
- @.opencode/agent/orchestration-agent.md - Main agent guidelines
- @.opencode/agent/TaskManager.md - Task breakdown process

**Project Documentation**:
- @docs/coding-standards.md
- @docs/architecture.md

**Current State**:
Branch: !`git branch --show-current`
Files: !`find src/dashboard -name "*.ts"`

---

## ๐Ÿค– Available Agents

### Agent: `TaskManager` (Subagent)

**IMPORTANT**: Agent is defined in a MARKDOWN file. The agent name comes from the file path!

**File location**: `.opencode/agent/TaskManager.md`
**Agent name**: `TaskManager` (path from `agent/` directory)
**Format**: Markdown with YAML frontmatter

**File structure:**
```markdown
---
description: "Breaks down complex features into subtasks"
mode: subagent
temperature: 0.1
tools: { read: true, write: true, ... }
---

# Task Manager Agent Prompt
[Your agent instructions here...]

Purpose: Break down complex features into atomic subtasks

When to invoke:

  • Feature has 4+ components
  • Need structured task breakdown
  • Complex dependencies exist

How to invoke:

task(
  subagent_type="TaskManager",
  description="Break down dashboard feature",
  prompt="Break down the user dashboard feature into atomic subtasks. Feature includes: profile widget, activity feed, notification center, and settings panel. Create structured task files in /tasks/ directory following your two-phase workflow."
)

What it does:

  1. Analyzes feature and creates subtask plan
  2. Waits for your approval
  3. Creates task files in tasks/subtasks/{feature}/
  4. Returns task sequence and dependencies

๐Ÿ”„ Required Workflow

For complex features (4+ components):

  1. Invoke task-manager to break down the feature

    task(
     subagent_type="TaskManager",
     description="Break down dashboard",
     prompt="Analyze and break down user dashboard feature with profile, activity, notifications, and settings components. Create task files with dependencies and acceptance criteria."
    )
    
  2. Review the task plan (agent will request approval)

  3. Approve and let agent create files

  4. Implement tasks sequentially based on dependencies

  5. Validate each task against acceptance criteria


๐ŸŽฏ Your Task

Implement a user dashboard feature with:

  • Profile widget (avatar, name, stats)
  • Activity feed (recent actions, timestamps)
  • Notification center (alerts, read/unread states)
  • Settings panel (preferences, theme toggle)

Requirements:

  • Follow @docs/architecture.md patterns
  • Responsive design
  • Real-time updates for notifications
  • Accessibility compliant

Since this is complex (4+ components), invoke the task-manager agent first.


โš ๏ธ Important Notes

  • Agent files (.md in .opencode/agents/): Use @ to load as documentation
  • Agent invocation: Use task(subagent_type="name", ...) to actually run the agent
  • Agent names: Plain text - task-manager, NOT @task-manager
  • The orchestration agent is your primary agent (already active)
  • Invoke task-manager when you need feature breakdown ```

๐ŸŽจ Prompt Templates for Your Specific Agents

Template 1: Complex Feature (Needs Task Breakdown)

# Implement [Complex Feature Name]

## ๐Ÿ“‹ Context

**Read these files:**
- @docs/coding-standards.md
- @docs/architecture.md
- @.opencode/context/core/workflows/delegation.md

**Current state:**
!`git status --short`
!`find src/[module] -type f`

---

## ๐Ÿค– Agent: TaskManager

**Invoke immediately for task breakdown:**

```javascript
task(
  subagent_type="TaskManager",
  description="Break down [feature]",
  prompt="Break down [feature description] into atomic subtasks. Include:
  - Component 1: [details]
  - Component 2: [details]
  - Component 3: [details]
  
  Create task files in /tasks/ with dependencies, acceptance criteria, and test requirements. Follow your two-phase workflow (plan โ†’ approve โ†’ create files)."
)

๐ŸŽฏ Task Details

[Detailed feature requirements]


๐Ÿ”„ Workflow

  1. Invoke task-manager for breakdown
  2. Review and approve task plan
  3. Implement tasks in dependency order
  4. Validate against acceptance criteria
  5. Report completion ```

Template 2: Simple Task (Direct Execution)

# [Simple Task Name]

## ๐Ÿ“‹ Context

**Read:**
- @docs/coding-standards.md

**Current state:**
!`git status --short`

---

## ๐ŸŽฏ Task

[Task description - simple, 1-3 files]

---

## โš ๏ธ Notes

- Simple task, no task-manager needed
- Execute directly
- Follow coding standards from @docs/coding-standards.md

Template 3: Coordination Task (Uses Orchestration Features)

# Coordinate [Multi-Step Feature]

## ๐Ÿ“‹ Context

**Read orchestration guidelines:**
- @.opencode/agents/orchestration-agent.md
- @.opencode/context/core/workflows/delegation.md

**Current state:**
!`git status --short`

---

## ๐Ÿ”„ Coordination Workflow

This task requires coordination across multiple steps:

1. **Break down** feature using task-manager
2. **Implement** core components
3. **Delegate** complex subsystems if needed
4. **Validate** integration
5. **Report** completion

---

## ๐Ÿค– Agents Available

**Agent: `TaskManager`** - For feature breakdown
Invoke: task(subagent_type="TaskManager", description="...", prompt="...")

**Agent: `general`** - For delegated complex work (if needed)
Invoke: task(subagent_type="general", description="...", prompt="...")

---

## ๐ŸŽฏ Task

[Complex coordinated task description]

---

## ๐Ÿ“ Orchestration Rules

From @.opencode/agents/orchestration-agent.md:
- Request approval before execution
- Stop on failures (don't auto-fix)
- Report โ†’ Propose โ†’ Approve โ†’ Fix
- Confirm before cleanup

๐ŸŽฏ Key Insights for Your Setup

Your Orchestration Agent (Primary)

  • Already active - it's processing your prompts
  • Has task delegation capability
  • Follows approval workflow
  • Can invoke task-manager when needed

Your Task-Manager Subagent

  • Invoked via task tool when you need breakdown
  • Two-phase workflow: Plan โ†’ Approve โ†’ Create
  • Creates files in tasks/subtasks/{feature}/
  • Returns structured task plans

Critical Distinctions

What File Syntax Agent Invocation
Load agent docs @.opencode/agent/TaskManager.md N/A
Invoke task-manager N/A task(subagent_type="TaskManager", ...)
Reference in text "the task-manager agent" or "TaskManager" N/A
Load project docs @docs/standards.md N/A

KEY INSIGHT: The agent name comes from the file path structure, NOT just the filename!

Decision Flow

Is it complex (4+ components)?
  โ†“ YES
  Invoke task-manager โ†’ Get breakdown โ†’ Implement tasks
  
  โ†“ NO
  Execute directly (orchestration agent handles it)

Need to understand agents?
  โ†“ YES
  Load agent docs: @.opencode/agents/[agent].md
  
  โ†“ NO
  Skip - just invoke when needed


๐Ÿค” Design Philosophy: Why List Subagents?

You might ask: "Why do I need to tell the AI about subagents in my prompt when the task tool already lists them?"

You're right - it's redundant! Here's the reality:

The Ideal World (How It Should Work)

---
tools:
  task: true  # AI should figure out the rest
---

# Your Agent
Delegate complex work to specialized subagents.

The AI should:

  1. โœ… See the task tool
  2. โœ… Read the tool's description (which lists agents)
  3. โœ… Use it when appropriate

The Real World (Current AI Limitations)

Current AI models don't always:

  • โŒ Read tool descriptions carefully
  • โŒ Remember to check available tools
  • โŒ Connect "complex task" โ†’ "delegate" โ†’ "use task tool"

So we compensate by:

  • Explicitly mentioning agents in prompts
  • Providing invocation examples
  • Repeating instructions

Two Approaches

Option 1: Minimal (Trust the Tool)

For complex work, use the `task` tool to delegate to specialized subagents.
Available agents are documented in the task tool description.
  • โœ… Clean, minimal
  • โš ๏ธ AI might not delegate when it should

Option 2: Explicit (Be Redundant)

Available subagents via task tool:
- TaskManager - For feature breakdown
- TestEngineer - For testing

Invoke with: task(subagent_type="...", description="...", prompt="...")
  • โš ๏ธ Redundant with tool description
  • โœ… AI consistently delegates appropriately

Recommendation:

Last Updated: 2024-11-21 OpenCode Version: Latest