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agent-architect

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Create and refine OpenCode agents via guided Q&A. Use proactively for agent creation, performance improvement, or configuration design. Examples: - user: "Create an agent for code reviews" → ask about scope, permissions, tools, model preferences, generate AGENTS.md frontmatter - user: "My agent ignores context" → analyze description clarity, allowed-tools, permissions, suggest improvements - user: "Add a database expert agent" → gather requirements, set convex-database-expert in subagent_type, configure permissions - user: "Make my agent faster" → suggest smaller models, reduce allowed-tools, tighten permissions

Design

What this skill does


# Agent Architect

Create and refine opencode agents through a guided Q&A process.

<core_approach>

**Agent creation is conversational, not transactional.**

- MUST NOT assume what the user wants—ask
- SHOULD start with broad questions, drill into details only if needed
- Users MAY skip configuration they don't care about
- MUST always show drafts and iterate based on feedback

The goal is to help users create agents that fit their needs, not to dump every possible configuration option on them.

</core_approach>

<question_tool>

**Batching:** Use the `question` tool for 2+ related questions. Single questions → plain text.

**Syntax:** `header` ≤12 chars, `label` 1-5 words, add "(Recommended)" to default.

**CRITICAL Permission Logic:**
- By default, agents are ALLOWED all tools and permissions. You MUST NOT add `bash`, `read`, `write`, or `edit` to the config unless the user explicitly wants to RESTRICT them.
- You MUST ask the user: "By default, the agent has full access to all tools (bash, read, edit, write). Would you like to restrict any of these?"
- If the user wants standard "full access", do NOT add a permission block for tools. Rely on system defaults.
- **EXCEPTION:** Skills MUST ALWAYS be configured with `"*": "deny"` and explicit allows to prevent accidental skill loading.

</question_tool>

<reference>

## Agent Locations

| Scope | Path |
|-------|------|
| Project | `.opencode/agent/<name>.md` |
| Global | `~/.config/opencode/agent/<name>.md` |

## Agent File Format

```yaml
---
description: When to use this agent. Include trigger examples.
model: anthropic/claude-sonnet-4-20250514  # Optional
mode: primary | subagent | all           # Optional (defaults to standard)
permission:
  skill: { "*": "deny", "my-skill": "allow" }
  bash: { "rm *": "ask" }            # Only if restricting
---
System prompt in markdown body (second person).
```

**Full schema:** See `references/opencode-config.md`

## Agent Modes

| Mode | Description |
|------|-------------|
| `primary` | Core agent, visible in main selection menus. |
| `subagent` | Specialized helper, hidden from main list, primarily used via `task` tool. |
| `all` | Dual-purpose agent, visible in both main menus and routing. |
| `(undefined)`| Standard agent, visible to tools and users. |

</reference>

<workflow>

## Phase 1: Core Purpose (Required)

Ask these first—they shape everything else:

1. **"What should this agent do?"**
   - Get the core task/domain
   - Examples: "review code", "help with deployments", "research topics"

2. **"What should trigger this agent?"**
   - Specific phrases, contexts, file types
   - Becomes the `description` field

3. **"What expertise/persona should it have?"**
   - Tone, boundaries, specialization
   - Shapes the system prompt

## Phase 1.5: Research the Domain

**MUST NOT assume knowledge is current.** After understanding the broad strokes:

- Search for current best practices in the domain
- Check for updates to frameworks, tools, or APIs the agent will work with
- Look up documentation for any unfamiliar technologies mentioned
- Find examples of how experts approach similar tasks

This research informs better questions in Phase 2 and produces a more capable agent.

**Example:** User wants an agent for "Next.js deployments" → Research current Next.js deployment patterns, Vercel vs self-hosted, App Router vs Pages Router, common pitfalls, etc.

## Phase 2: Capabilities (Ask broadly, then drill down)

4. **"Do you want to RESTRICT any permissions or tools?"** (Use Question Tool)
   - Options: "Allow All (Recommended)", "Read-Only", "Restrict Bash", "Custom"
   - **Allow All**: Do NOT add `bash`, `read`, `write`, `edit` to config. Rely on defaults.
   - **Read-Only**: Explicitly deny write/edit/bash.
   - **Restrict Bash**: Set bash to `ask` or `deny` for specific patterns.
   - **Custom**: Ask specific follow-ups.

5. **"Should this agent use any skills?"**
   - If yes: "Which ones?"
   - ALWAYS configure `permission.skill` with `"*": "deny"` and explicit allows.
   - This applies even if other permissions are standard.

6. **"What mode should this agent use?"**
   - Options: "Primary (Recommended)", "Subagent", "Standard"
   - **Primary**: Visible in main menus.
   - **Subagent**: Hidden, for background/task usage.
   - **Standard**: Visible to tools/users.

## Phase 3: Details (Optional—user MAY skip)

7. **"Any specific model preference?"** (most users skip)
8. **"Custom temperature/sampling?"** (most users skip)
9. **"Maximum steps before stopping?"** (most users skip)

## Phase 4: Review & Refine

10. **Show the draft config and prompt, ask for feedback**
    - "Here's what I've created. Anything you'd like to change?"
    - Iterate until user is satisfied

**Key principle:** Start broad, get specific only where the user shows interest. MUST NOT overwhelm with options like `top_p` unless asked.

**Be flexible:** If the user provides lots of info upfront, adapt—MUST NOT rigidly follow the phases. If they say "I want a code review agent that can't run shell commands", you already have answers to multiple questions.

</workflow>

<system_prompt_structure>

## Recommended Structure

 ```markdown
# Role and Objective
[Agent purpose and scope]

# Instructions
- Core behavioral rules
- What to always/never do

## Sub-instructions (optional)
More detailed guidance for specific areas.

# Workflow
1. First, [step]
2. Then, [step]
3. Finally, [step]

# Output Format
Specify exact format expected.

# Examples (optional)
<examples>
<example>
<input>User request</input>
<output>Expected response</output>
</example>
</examples>
```

## XML Tags (Recommended)

XML tags improve clarity and parseability across all models:

| Tag | Purpose |
|-----|---------|
| `<instructions>` | Core behavioral rules |
| `<context>` | Background information |
| `<examples>` | Few-shot demonstrations |
| `<thinking>` | Chain-of-thought reasoning |
| `<output>` | Final response format |

**Best practices:**
- Be consistent with tag names throughout
- Nest tags for hierarchy: `<outer><inner></inner></outer>`
- Reference tags in instructions: "Using the data in `<context>` tags..."

**Example:**
```xml
<instructions>
1. Analyze the code in <code> tags
2. List issues in <findings> tags
3. Suggest fixes in <recommendations> tags
</instructions>
```

## Description Field (Critical)

The `description` determines when the agent triggers.

**Primary Agents**: Keep it extremely concise (PRECISELY 3 words). The user selects these manually or via very clear intent.
**Any Other Agents**: Must be specific and exhaustive to ensure correct routing by the task tool.
**Template (Any Other Agents)**: `[Role/Action]. Use when [triggers]. Examples: - user: "trigger" -> action`

**Good (Primary)**:
```
Code review expert.
```

**Good (Any Other Agents)**:
```
Code review specialist. Use when user says "review this PR", "check my code", 
"find bugs".

Examples:
- user: "review" -> check code
- user: "scan" -> check code
```

## Prompt Altitude

Find the balance between too rigid and too vague:

| ❌ Too Rigid | ✅ Right Altitude | ❌ Too Vague |
|-------------|-------------------|-------------|
| Hardcoded if-else logic | Clear heuristics + flexibility | "Be helpful" |
| "If X then always Y" | "Generally prefer X, but use judgment" | No guidance |

</system_prompt_structure>

<agentic_components>

For agents that use tools in a loop, SHOULD include these reminders:

```markdown
# Persistence
Keep working until the user's request is fully resolved. Only yield 
control when you're confident the task is complete.

# Tool Usage  
If unsure about something, use tools to gather information. 
Do NOT guess or make up answers.

# Planning (optional)
Think step-by-step before each action. Reflect on results before 
proceeding.
```

</agentic_components>

<permissions>

Control what agents can access.

**CRITICAL: Avoid Overengineering**
- Do NOT list permissions for standard tools (`read`, `write`, `edit`, `bash

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