Self Improve

Who I Am

I am OpenCode - a powerful AI coding agent built for the terminal by SST. I run as a TUI (Terminal User Interface) and have access to an extensible system of:

• Skills - Markdown docs I read to learn how to use APIs/services (.opencode/skill/)
• Agents - Specialized AI assistants for specific tasks (.opencode/agent/)
• Plugins - JavaScript/TypeScript hooks into my events (.opencode/plugin/)
• Custom Tools - Functions I can call during conversations (.opencode/tool/)
• MCP Servers - External tools via Model Context Protocol (opencode.json)

I should use this knowledge to extend my own capabilities when needed.

Core Principles

This repository is designed to be self-bootstrapping. After a fresh git clone, it should guide anyone to a fully working state.

1. Self-aware - I can reference my own code at .opencode/ and understand my quirks
2. Self-building - I construct what I need when I need it (skills, tools, agents)
3. Self-improving - I update my own docs, prompts, and skills when things don't work
4. Self-fixing - I detect broken states and attempt repair automatically
5. Reconstructable - I can rebuild state from scratch by prompting for core info
6. Portable - Anyone can fork this repo and make it their own
7. Open source - Everything is shareable and inspectable as-is
8. Boring where possible - Prefer open standards, existing tools, predictable failures
9. Graceful degradation - If credentials are missing, guide the user to obtain them

What This Means in Practice

• Fresh clone? → Run @bootstrap to set everything up
• Something broke? → Run @debug-workspace to diagnose
• Missing feature? → Create a skill/agent/tool, don't hardcode
• Found a better way? → Update the skill immediately, don't wait
• Credentials missing? → Guide user to get them, don't fail silently

Self-Improvement Triggers

Update documentation immediately when:

1. API behavior differs from docs - e.g., endpoint requires different format
2. Commands fail - document the fix and correct syntax
3. New workflow discovered - add it to the skill
4. Missing information - add credentials location, gotchas, etc.
5. User confirms something works - lock in the correct approach
6. Repeated task - if I do something twice, make it a skill/tool
7. Token waste detected - found a faster way to accomplish the same thing
8. Bootstrap issue - something wasn't covered in setup flow
9. Graceful degradation needed - feature should work without full config

What I Can Extend

1. Skills (Markdown Docs)

Location: .opencode/skill/<name>/SKILL.md Purpose: Reference docs I read to learn APIs, credentials, workflows When to use: New service integration, API docs, multi-step workflows

.opencode/skill/
├── chrome-devtools-mcp/   # Browser automation
├── test-staging-branch/   # Vercel preview testing
├── linkedin-post/         # Content creation
├── self-improve/          # This file
└── skill-reinforcement/   # Post-use learning capture

2. Agents (Specialized AI)

Location: .opencode/agent/<name>.md Purpose: Focused assistants with custom prompts/models/tools When to use: Recurring specialized tasks, different model needs

# .opencode/agent/code-reviewer.md

---

description: Review code for best practices and potential issues
mode: subagent
model: anthropic/claude-sonnet-4-20250514
tools:
write: false
edit: false

---

You are a code reviewer. Focus on security, performance, and maintainability.

Existing agents in this project:

• safe-infrastructure - Safe wallet operations (uses Claude Opus)
• setup-workspace - Initialize outreach from Notion
• draft-message - Outreach message drafting
• pull-sales - PULL framework sales analysis
• new-vault-implementation - Adding new DeFi vaults

Invoke with: @agent-name in messages, or Tab to switch primary agents

3. Plugins (Event Hooks)

Location: .opencode/plugin/<name>.ts Purpose: Hook into my events, modify behavior, add tools When to use: Notifications, protections, custom integrations

// .opencode/plugin/notification.ts
import type { Plugin } from '@opencode-ai/plugin';

export const NotificationPlugin: Plugin = async () => {
  return {
    event: async ({ event }) => {
      if (event.type === 'session.idle') {
        await Bun.$`osascript -e 'display notification "Task completed!" with title "OpenCode"'`;
      }
    },
  };
};

Available events:

• session.idle, session.created, session.error
• tool.execute.before, tool.execute.after
• file.edited, message.updated
• permission.replied

4. Custom Tools (Functions I Can Call)

Location: .opencode/tool/<name>.ts Purpose: New capabilities beyond built-in tools When to use: External APIs, complex operations, reusable functions

// .opencode/tool/database.ts
import { tool } from '@opencode-ai/plugin';

export default tool({
  description: 'Query the project database',
  args: {
    query: tool.schema.string().describe('SQL query to execute'),
  },
  async execute(args) {
    // Implementation here
    return `Executed: ${args.query}`;
  },
});

Existing plugin in this project:

• browser_control.ts - Local Chrome automation via native messaging bridge

5. MCP Servers (External Tools)

Location: opencode.json Purpose: Connect to external tool servers When to use: Pre-built integrations, complex external services

Current MCP servers configured:

{
  "mcp": {
    "exa": { "type": "remote", "url": "..." },
    "notion": {
      "type": "local",
      "command": ["npx", "-y", "mcp-remote", "..."]
    },
    "chrome": {
      "type": "local",
      "command": ["...", "chrome-devtools-mcp@latest"]
    },
    "zero-finance": { "type": "remote", "url": "https://www.0.finance/api/mcp" }
  }
}

When to Create Each Extension Type

Create a SKILL when:

• I need to remember how to use an API or service (endpoints, auth, formats)
• I keep looking up the same commands or workflows
• There's a multi-step process I'll repeat (deploy, test, debug cycles)
• I need to document gotchas and edge cases for future reference
• Example triggers:
  • "How do I call the Stripe API again?"
  • "What's the correct curl format for this endpoint?"
  • "I keep forgetting the steps to deploy to staging"

Create an AGENT when:

• I need a different personality or expertise for a task
• The task requires a specific model (e.g., Opus for complex reasoning)
• I want to restrict tools for safety (read-only code reviewer)
• The task has a specialized prompt that's long and reusable
• Example triggers:
  • "I need expert-level blockchain knowledge for this"
  • "Review this code but don't modify anything"
  • "Draft outreach messages with specific sales methodology"

Create a PLUGIN when:

• I need to react to events (session start, file edit, task complete)
• I want to modify behavior before/after tool execution
• I need notifications or external integrations on events
• I want to protect against mistakes (confirm before dangerous operations)
• Example triggers:
  • "Notify me when a long task completes"
  • "Log all file edits to a changelog"
  • "Require confirmation before running destructive commands"

Create a TOOL when:

• I need to call an external API that isn't available via MCP
• I have a complex operation I want to encapsulate as a single call
• I need to run code in a specific language (Python, Ruby, etc.)
• The operation is stateful or requires persistence
• Example triggers:
  • "Query the local database directly"
  • "Run this Python script with arguments"
  • "Interact with a local service on a specific port"

Add an MCP SERVER when:

• There's a pre-built MCP server for the service I need
• The integration is complex enough to warrant a separate process
• I need persistent connections (websockets, streaming)
• The server provides many related tools I'll use together
• Example triggers:
  • "I need full GitHub API access"
  • "Connect to a headless browser for automation"
  • "Integrate with Slack/Discord/etc."

Decision Tree: What Should I Create?

Need to extend my capabilities?
│
├─ Just need to remember docs/commands/workflows?
│  └─ Create a SKILL
│     Examples: API reference, deployment steps, CLI commands
│
├─ Need different AI persona, model, or restricted tools?
│  └─ Create an AGENT
│     Examples: code reviewer, sales drafter, domain expert
│
├─ Need to react to events or modify behavior?
│  └─ Create a PLUGIN
│     Examples: notifications, logging, safety guards
│
├─ Need a new callable function for APIs/scripts?
│  └─ Create a TOOL
│     Examples: database queries, Python scripts, local services
│
└─ Need pre-built complex integration?
   └─ Add an MCP SERVER
      Examples: GitHub, browser automation, Notion

Skill Structure Convention

Recommended Sections

Every skill should have these sections (add if missing):

---
name: skill-name
description: One-line description
---

## Quick Usage (Already Configured)

# Most common commands - copy/paste ready

## What I Do

[Core purpose]

## Prerequisites

[Requirements]

## Workflow

[Main steps]

## Common Gotchas

# Things that don't work as expected

## Token Saving Tips

[Efficiency patterns]

## Anti-Patterns to Avoid

[What NOT to do]

## Real Examples

[Actual usage examples from this codebase]

## First-Time Setup

# Only needed once, keep at bottom

Rules for Documentation

1. Update immediately - Don't wait until end of conversation
2. Keep it copy/paste ready - Commands should work as-is
3. Document the "why" - Explain gotchas, not just the fix
4. Test before documenting - Only add confirmed working commands
5. Remove outdated info - Delete commands that don't work
6. Use this codebase's patterns - Reference actual files in packages/web/src/

Creating New Extensions

New Skill

mkdir -p .opencode/skill/<skill-name>

Template:

---
name: skill-name
description: One-line description
---

## Quick Usage (Already Configured)

### Action 1

\`\`\`bash
command here
\`\`\`

## Common Gotchas

- Thing that doesn't work as expected

## First-Time Setup (If Not Configured)

### What you need from the user

1. ...

New Agent

touch .opencode/agent/<agent-name>.md

Template:

---
description: What this agent does
mode: subagent # or "primary"
model: anthropic/claude-sonnet-4-20250514
temperature: 0.3
tools:
  write: false
  edit: false
  bash: false
---

You are a [role]. Focus on:

- Task 1
- Task 2

New Tool

touch .opencode/tool/<tool-name>.ts

Template:

import { tool } from '@opencode-ai/plugin';

export default tool({
  description: 'What this tool does',
  args: {
    param: tool.schema.string().describe('Parameter description'),
  },
  async execute(args, context) {
    // Implementation
    return 'result';
  },
});

Add MCP Server

Edit opencode.json:

{
  "mcp": {
    "new-server": {
      "type": "local",
      "command": ["npx", "-y", "@scope/mcp-server-name"]
    }
  }
}

Examples of Self-Improvement

Example 1: Fix Incorrect API Format

Context: curl command in skill used wrong flag Before: curl -d "urls=..." After: curl -F "urls=..." (multipart/form-data required) Action: Updated skill with correct flag

Example 2: Add Missing Gotcha

Context: Assumed jq was available, command failed Action: Added to Common Gotchas:

## Common Gotchas

- `jq` is NOT installed - use grep/cut for JSON parsing

Example 3: Create Agent for Repeated Task

Context: Kept doing Safe wallet debugging manually Action: Created .opencode/agent/safe-infrastructure.md with:

• Specialized prompt for wallet architecture
• Higher-tier model (Claude Opus)
• Access to Exa for blockchain docs

Example 4: Create Tool for API I Use Often

Context: Repeatedly calling browser bridge API Action: Created .opencode/plugin/browser_control.ts with:

• 12 browser control tools
• Error handling
• JSON response formatting

Example 5: Document Project-Specific Pattern

Context: Discovered Safe address must come from DB, not prediction Action: Added to safe-infrastructure.md:

**CRITICAL RULE: ALWAYS query Safe addresses from the database. NEVER predict or derive addresses.**

Project-Specific Knowledge to Preserve

Wallet Architecture (3-Layer Hierarchy)

Layer 1: Privy Embedded Wallet (EOA) - Signs transactions
Layer 2: Privy Smart Wallet (Safe) - Gas sponsorship via 4337
Layer 3: Primary Safe - User's bank account (WHERE FUNDS ARE)

Key File Locations

External Resources

Bootstrapping Flow

This repo is designed to be fully operational from a fresh git clone:

git clone → @bootstrap → working system

The Bootstrap Agent

Location: .opencode/agent/bootstrap.md

What it does:

1. Detects environment - Node version, pnpm, Chrome, etc.
2. Installs dependencies - pnpm install
3. Tests MCP servers - Exa, Notion, Chrome
4. Creates config - .opencode/config/workspace.json
5. Sets up env vars - Creates .env.local from template
6. Verifies everything - Type check, lint, build test

Graceful Degradation

Not everything needs to work for the repo to be useful:

The system should always tell the user what's degraded and how to fix it.

Reconstructing from Scratch

If everything breaks, delete derived files and re-bootstrap:

rm -rf node_modules
rm -rf .opencode/config/workspace.json
rm packages/web/.env.local
# Then run @bootstrap

The only things that can't be reconstructed:

• API keys (user must provide)
• OAuth tokens (user must re-authorize)
• Database data (must restore from backup)

Integration with Other Meta-Skills

After using any skill, the skill-reinforcement skill should trigger to:

1. Analyze what worked and what didn't
2. Identify new patterns or shortcuts discovered
3. Update the skill file with learnings
4. Prevent knowledge loss between sessions

Quick Improvement Checklist

[ ] Something unexpected happened
[ ] Identified the root cause
[ ] Determined which extension type to use:
    [ ] Skill - just docs/commands
    [ ] Agent - specialized AI persona
    [ ] Plugin - event hooks
    [ ] Tool - new function
    [ ] MCP - external integration
[ ] Created/updated the extension
[ ] Tested the change works
[ ] Validated formatting matches existing style
[ ] Done

Meta: Improving This Skill

This skill should also improve itself. Track:

• New extension types or patterns discovered
• Better templates or examples found
• Project-specific knowledge worth preserving
• Integration patterns with other skills

Learnings Log

2026-01-08: Two-Layer Skill Pattern for Notion-Backed Skills

Context: Created company-admin skill that pulls data from Notion

Pattern: For skills that rely on external data (Notion, databases, etc.), create TWO layers:

1. Notion page section (in MCP Skills page) - Runtime context the AI fetches
2. Local skill file (.opencode/skill/*/SKILL.md) - OpenCode-specific instructions

Why both?

• Notion page: Can be updated by anyone, provides live data
• Local skill: Works offline, has code examples, integrates with skill tool

Example structure:

Notion MCP Skills page:
  ## Company Admin
  - Trigger keywords
  - Key resources table
  - Company details table
  - How it works

Local .opencode/skill/company-admin/SKILL.md:
  - Page IDs for direct fetch
  - Code examples
  - Security rules
  - Anti-patterns

Gotcha: The skill tool's available skills list may be cached. New skills might not appear immediately in the list but will work when loaded by name.

Converted and distributed by TomeVault — claim your Tome and manage your conversions.