Agent skill
stack-templates
Templates for creating handlers, CLI commands, MCP tools, and daemon services following Outfitter Stack conventions. Use when scaffolding new components, creating handlers, adding commands, or when "create handler", "new command", "add tool", "scaffold", "template", or "daemon service" are mentioned.
Install this agent skill to your Project
npx add-skill https://github.com/outfitter-dev/agents/tree/main/plugins/outfitter-stack/skills/stack-templates
SKILL.md
Stack Templates
Templates for creating @outfitter/* components.
Component Types
| Type | Package | Template |
|---|---|---|
| Handler | @outfitter/contracts |
handler |
| Handler Test | @outfitter/testing |
handler-test |
| CLI Command | @outfitter/cli |
cli-command |
| MCP Tool | @outfitter/mcp |
mcp-tool |
| Daemon | @outfitter/daemon |
daemon-service |
Handler
Transport-agnostic business logic returning Result<T, E>:
import {
Result,
ValidationError,
NotFoundError,
createValidator,
type Handler,
} from "@outfitter/contracts";
import { z } from "zod";
// 1. Input schema
const InputSchema = z.object({
id: z.string().min(1),
});
type Input = z.infer<typeof InputSchema>;
// 2. Output type
interface Output {
id: string;
name: string;
}
// 3. Validator
const validateInput = createValidator(InputSchema);
// 4. Handler
export const myHandler: Handler<unknown, Output, ValidationError | NotFoundError> = async (
rawInput,
ctx
) => {
const inputResult = validateInput(rawInput);
if (inputResult.isErr()) return inputResult;
const input = inputResult.value;
ctx.logger.debug("Processing", { id: input.id });
const resource = await fetchResource(input.id);
if (!resource) {
return Result.err(new NotFoundError("resource", input.id));
}
return Result.ok(resource);
};
Handler Test
Test handlers directly without transport layer:
import { describe, test, expect } from "bun:test";
import { createContext } from "@outfitter/contracts";
import { myHandler } from "../handlers/my-handler.js";
describe("myHandler", () => {
test("returns success for valid input", async () => {
const ctx = createContext({});
const result = await myHandler({ id: "valid-id" }, ctx);
expect(result.isOk()).toBe(true);
expect(result.value).toMatchObject({ id: "valid-id" });
});
test("returns NotFoundError for missing resource", async () => {
const ctx = createContext({});
const result = await myHandler({ id: "missing" }, ctx);
expect(result.isErr()).toBe(true);
expect(result.error._tag).toBe("NotFoundError");
expect(result.error.resourceId).toBe("missing");
});
test("returns ValidationError for invalid input", async () => {
const ctx = createContext({});
const result = await myHandler({ id: "" }, ctx);
expect(result.isErr()).toBe(true);
expect(result.error._tag).toBe("ValidationError");
});
});
CLI Command
Commander.js command calling a handler:
import { command, output, exitWithError } from "@outfitter/cli";
import { createContext } from "@outfitter/contracts";
import { myHandler } from "../handlers/my-handler.js";
export const myCommand = command("my-command")
.description("What this command does")
.argument("<id>", "Resource ID")
.option("-l, --limit <n>", "Limit results", parseInt)
.action(async ({ args, flags }) => {
const ctx = createContext({});
const result = await myHandler({ id: args.id, limit: flags.limit }, ctx);
if (result.isErr()) {
exitWithError(result.error);
}
await output(result.value);
})
.build();
Register in CLI:
import { createCLI } from "@outfitter/cli";
import { myCommand } from "./commands/my-command.js";
const cli = createCLI({ name: "myapp", version: "1.0.0" });
cli.program.addCommand(myCommand);
cli.program.parse();
MCP Tool
Use defineTool() for type-safe tool definitions with automatic schema inference:
import { defineTool } from "@outfitter/mcp";
import { Result, ValidationError } from "@outfitter/contracts";
import { z } from "zod";
const InputSchema = z.object({
query: z.string().describe("Search query"),
limit: z.number().int().positive().default(10).describe("Max results"),
});
interface Output {
results: Array<{ id: string; title: string }>;
total: number;
}
export const myTool = defineTool({
name: "my_tool",
description: "Tool description for AI agent",
inputSchema: InputSchema,
handler: async (input): Promise<Result<Output, ValidationError>> => {
// input is automatically typed as z.infer<typeof InputSchema>
const results = await search(input.query, input.limit);
return Result.ok({ results, total: results.length });
},
});
Register in server:
import { createMcpServer } from "@outfitter/mcp";
import { myTool } from "./tools/my-tool.js";
const server = createMcpServer({ name: "my-server", version: "0.1.0" });
server.registerTool(myTool);
server.start();
Daemon Service
Background service with health checks and IPC:
import {
createDaemon,
createIpcServer,
createHealthChecker,
getSocketPath,
getLockPath,
} from "@outfitter/daemon";
import { createLogger, createConsoleSink } from "@outfitter/logging";
import { Result } from "@outfitter/contracts";
const logger = createLogger({
name: "my-daemon",
level: "info",
sinks: [createConsoleSink()],
redaction: { enabled: true },
});
const daemon = createDaemon({
name: "my-daemon",
pidFile: getLockPath("my-daemon"),
logger,
shutdownTimeout: 10000,
});
const healthChecker = createHealthChecker([
{
name: "memory",
check: async () => {
const used = process.memoryUsage().heapUsed / 1024 / 1024;
return used < 500
? Result.ok(undefined)
: Result.err(new Error(`High memory: ${used.toFixed(2)}MB`));
},
},
]);
const ipcServer = createIpcServer(getSocketPath("my-daemon"));
ipcServer.onMessage(async (msg) => {
const message = msg as { type: string };
switch (message.type) {
case "status": return { status: "ok", uptime: process.uptime() };
case "health": return await healthChecker.check();
default: return { error: "Unknown command" };
}
});
daemon.onShutdown(async () => {
logger.info("Shutting down...");
await ipcServer.close();
});
async function main() {
const startResult = await daemon.start();
if (startResult.isErr()) {
logger.error("Failed to start", { error: startResult.error });
process.exit(1);
}
await ipcServer.listen();
logger.info("Started", { socket: getSocketPath("my-daemon") });
}
main();
Best Practices
- Handler First - Write handler before adapter (CLI/MCP/API)
- Validate Early - Use
createValidatorat handler entry - Type Errors - List all error types in handler signature
- Context Propagation - Pass context through all handler calls
- Test Handlers - Test handlers directly without transport layer
References
- templates/handler.md
- templates/handler-test.md
- templates/cli-command.md
- templates/mcp-tool.md
- templates/daemon-service.md
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
stack-feedback
Creates GitHub issues for problems discovered while using @outfitter/* packages. Use when finding bugs, missing features, unclear documentation, or improvement opportunities.
stack-architecture
Design stack-based systems using @outfitter/* packages. Use when planning new projects, choosing packages, designing handler architecture, or when "architecture", "design", "structure", "plan handlers", or "error taxonomy" are mentioned.
stack-audit
Scan codebase for Outfitter Stack adoption candidates. Identifies throw statements, console usage, hardcoded paths, and custom errors. Use when assessing adoption scope or checking readiness.
stack-review
Audits code for Outfitter Stack compliance including Result types, error handling, logging patterns, and path safety. Use for pre-commit reviews, code quality checks, migration validation, or when "audit", "check compliance", "review stack", or "stack patterns" are mentioned.
stack-patterns
Reference for Outfitter Stack patterns including Result types, Handler contract, Error taxonomy, and @outfitter/* package conventions. Use when learning the stack, looking up patterns, understanding packages, or when "Result", "Handler", "error taxonomy", "OutfitterError", "CLI output", "pagination", "MCP server", "MCP tool", "structured logging", "redaction", "test handler", "daemon", "IPC", or "@outfitter/*" are mentioned.
stack-debug
Troubleshoots Outfitter Stack issues including Result handling, MCP problems, CLI output, exit codes, and logging. Use when debugging stack-specific issues, unexpected errors, wrong output modes, or when "debug Result", "MCP not working", "wrong exit code", or "logging issue" are mentioned.
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