- Move legacy content to legacy/ folder (old, old2, docs, learnings, scripts) - Create new .opencode/ structure with skills/, tools/, agents/ folders - Update Makefile to symlink to ~/.config/opencode/ instead of ~/.claude/ - Update Makefile to manage skills, tools, and agents (remove settings.json) - Simplify install/uninstall (no backup logic) - Add README.md documenting the new structure - Keep settings.json as historical reference
155 lines
3.9 KiB
Markdown
155 lines
3.9 KiB
Markdown
# Architecture
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The organizational source of truth for how we build software with OpenCode.
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This repository contains the structure for our OpenCode configuration: skills, tools, and agents that make AI-assisted development predictable and effective.
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## Core Concepts
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OpenCode uses three component types:
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| Component | Location | Purpose | Example |
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|-----------|----------|---------|---------|
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| **Skills** | `.opencode/skills/` | Reference knowledge | `issue-writing` knows how to structure good issues |
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| **Tools** | `.opencode/tools/` | Custom functions | `spawn_issues` implements multiple issues in parallel |
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| **Agents** | `.opencode/agents/` | Specialized subagents | `code-reviewer` handles PR reviews |
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## Quick Start
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### Installation
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```bash
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# Clone the repository
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git clone ssh://git@code.flowmade.one/flowmade-one/architecture.git
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cd architecture
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# Install symlinks to ~/.config/opencode/
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make install
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```
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This creates symlinks at:
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- `~/.config/opencode/skills/` → `.opencode/skills/`
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- `~/.config/opencode/tools/` → `.opencode/tools/`
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- `~/.config/opencode/agents/` → `.opencode/agents/`
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### Uninstallation
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```bash
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make uninstall
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```
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### Status
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```bash
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make status
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```
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Shows current symlink state for each component.
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### Restart LLMs
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```bash
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make restart-llm
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```
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Restarts all local LLM services (atlas, forge, swift).
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## Project Structure
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```
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architecture/
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├── legacy/ # Historical Claude Code content
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│ ├── old/ # Early Claude Code structure
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│ ├── old2/ # Most recent Claude Code structure
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│ ├── docs/ # Documentation
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│ ├── learnings/ # Governance learnings
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│ └── scripts/ # Bash scripts
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│
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├── .opencode/ # OpenCode configuration
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│ ├── skills/ # Reference knowledge (SKILL.md files)
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│ ├── tools/ # Custom tools (TypeScript/JS)
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│ └── agents/ # Specialized subagents (AGENT.md files)
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│
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├── Makefile # Symlink management
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├── settings.json # Historical reference (Claude Code)
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└── README.md # This file
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```
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## Adding Components
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### Skills
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Create `.opencode/skills/<name>/SKILL.md`:
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```markdown
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---
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name: skill-name
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description: What this skill does and when to use it
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---
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# Skill Title
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Content goes here...
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```
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Skills are auto-discovered by OpenCode and available via the `skill` tool.
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### Tools
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Create `.opencode/tools/<name>.ts`:
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```typescript
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import { tool } from "@opencode-ai/plugin"
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export default tool({
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description: "What this tool does",
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args: {
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param: tool.schema.string().describe("Parameter description"),
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},
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async execute(args) {
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// Your implementation
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return "result"
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},
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})
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```
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Tools are auto-discovered and available to the LLM.
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### Agents
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Create `.opencode/agents/<name>.md`:
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```markdown
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---
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description: What this agent does and when to use it
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mode: subagent
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permission:
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edit: deny
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bash: deny
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---
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You are an agent that specializes in...
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```
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Agents can be invoked with `@agent-name` or automatically by primary agents.
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## Referencing Legacy Content
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The `legacy/` folder contains the original Claude Code structure for reference:
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- **`legacy/old2/`** - Most recent Claude Code structure with skills, agents, commands
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- **`legacy/old2/manifesto.md`** - Organization vision and beliefs
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- **`legacy/old2/software-architecture.md`** - Architectural patterns and principles
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- **`legacy/old2/learnings/`** - Historical learnings (if any)
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These are preserved for historical reference but not actively used by OpenCode.
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## Existing OpenCode Configuration
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Your global OpenCode configuration is at `~/.config/opencode/opencode.json`. This repository does not manage that file.
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The `settings.json` in this repository is kept for historical reference (it was used with Claude Code).
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## License
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MIT |