Skill: Create an OpenCode Plugin
SkillFiles & storageLets your agent scaffold a working OpenCode plugin file with tools and hooks for iPolloWork.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill: Create an OpenCode Plugin skill
About this capability
Create an OpenCode plugin for iPolloWork. Scaffolds the plugin file with the correct API shape, tool definitions, and hook registration. Use when the user asks to 'create a plugin', 'write a plugin', or 'make a plugin that does X'.
What this skill tells your AI
The instructions your AI receives, as published by devin-axis/ipollowork in .opencode/skills/create-plugin/SKILL.md and read by ahel’s review.
Scaffold a working OpenCode plugin for use in iPolloWork.
When to use
- User asks "create a plugin that does X"
- User asks "write a plugin" or "make a plugin"
- User wants to extend iPolloWork/OpenCode with custom tools
Plugin API
An OpenCode plugin is an async factory function that returns a hooks object.
File location
Plugins can live in:
- Project:
.opencode/plugins/my-plugin.ts(auto-discovered) - Global:
~/.config/opencode/plugins/my-plugin.ts - npm: published as a package, referenced in
opencode.jsonpluginarray - URL:
file:orhttps:path in thepluginarray
Minimal shape
import { z } from "zod";
export default async () => ({
tool: {
my_tool_name: {
description: "What this tool does.",
args: z.object({
input: z.string().describe("The input parameter."),
}).shape, // NOTE: .shape, not the ZodObject itself
async execute(args: { input: string }) {
// Your logic here. Can use fetch(), fs, child_process, etc.
return `Result: ${args.input}`;
},
},
},
});
Key rules
- Export default an async function that returns the hooks object.
- Tool args use
zodSchema.shape(aZodRawShape), not theZodObject. executereturns astringor{ output: string; metadata?: Record<string, unknown> }.- Tools are declared, not registered imperatively — return them in the hooks object.
fetch()works — plugins run in-process inside the OpenCode runtime.process.envis accessible — use env vars for secrets/config.
Available hooks
{
// Modify the system prompt
"experimental.chat.system.transform": async (input, output: { system: string[] }) => {
output.system.push("Extra instruction for the agent.");
},
// Define tools the agent can call
tool: {
tool_name: { description, args, execute },
},
// Run code before/after a tool executes
"tool.execute.before": async ({ tool, args }) => { /* ... */ },
"tool.execute.after": async ({ tool, args, result }) => { /* ... */ },
// React to lifecycle events
event: async ({ event }) => { /* ... */ },
}
Registering the plugin
Add to opencode.json:
{
"plugin": [
".opencode/plugins/my-plugin.ts"
]
}
Or install from npm:
{
"plugin": [
"my-published-plugin"
]
}
Anthropic / Claude plugin compatibility
OpenCode plugins are NOT the same as Anthropic's plugin format. Key differences:
| Aspect | OpenCode Plugin | Anthropic Plugin |
|---|---|---|
| Entry point | Async factory function | Manifest JSON |
| Tool args | Zod schema .shape | JSON Schema |
| Runtime | In-process (Bun/Node) | Sandboxed container |
| Auth | process.env | OAuth/API key in manifest |
| Distribution | npm / file path / URL | Anthropic marketplace |
To adapt an Anthropic plugin for OpenCode:
- Rewrite the tool definitions using Zod instead of JSON Schema.
- Move any auth from the manifest to env vars or
opencode.jsonprovider config. - Export the async factory function instead of the manifest.
- HTTP-based Anthropic plugins can often be wrapped as MCP servers instead.
Example: plugin with multiple tools
import { z } from "zod";
export default async () => ({
"experimental.chat.system.transform": async (_input: unknown, output: { system: string[] }) => {
output.system.push("You have access to a note-taking system. Use save_note and list_notes.");
},
tool: {
save_note: {
description: "Save a note with a title and body.",
args: z.object({
title: z.string().describe("Note title"),
body: z.string().describe("Note content"),
}).shape,
async execute(args: { title: string; body: string }) {
const fs = await import("node:fs/promises");
const path = `.opencode/notes/${args.title.replace(/[^a-zA-Z0-9-_]/g, "_")}.md`;
await fs.mkdir(".opencode/notes", { recursive: true });
await fs.writeFile(path, `# ${args.title}\n\n${args.body}\n`);
return `Saved note: ${path}`;
},
},
list_notes: {
description: "List all saved notes.",
args: {},
async execute() {
const fs = await import("node:fs/promises");
try {
const files = await fs.readdir(".opencode/notes");
return files.filter(f => f.endsWith(".md")).join("\n") || "No notes yet.";
} catch {
return "No notes yet.";
}
},
},
},
});
Scaffold workflow
When the user describes what they want the plugin to do:
- Create
.opencode/plugins/<name>.tswith the plugin code. - Add it to
opencode.jsonpluginarray if not already present. - Tell the user to restart their session for the plugin to load.
Signals
- GitHub stars
- 6k
- Forks
- 1k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
create-plugin- Source
- github.com/devin-axis/ipollowork