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tinystruct-patterns

Expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including creating Application classes, @Action-mapped routes, unit tests, ActionRegistry, HTTP/CLI dual-mode handling, the built-in HTTP server, the event system, JSON with Builder/Builders, database persistence with AbstractData, POJO generation, Server-Sent Events (SSE), file uploads, and outbound HTTP networking.

O que é tinystruct-patterns?

tinystruct-patterns is a Claude Code agent skill that expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including creating Application classes, @Action-mapped routes, unit tests, ActionRegistry, HTTP/CLI dual-mode handling, the built-in HTTP server, the event system, JSON with Builder/Builders, database persistence with AbstractData, POJO generation, Server-Sent Events (SSE), file uploads, and outbound HTTP networking.

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Documentação

tinystruct Development Patterns

Architecture and implementation patterns for building modules with the tinystruct Java framework – a lightweight, high-performance framework that treats CLI and HTTP as equal citizens, requiring no main() method and minimal configuration.

Core Principle

CLI and HTTP are equal citizens. Every method annotated with @Action should ideally be runnable from both a terminal and a web browser without modification. This "dual-mode" capability is the core design philosophy of tinystruct.

When to Activate

When to Use

  • Creating new Application modules by extending AbstractApplication.
  • Defining routes and command-line actions using @Action.
  • Handling per-request state via Context.
  • Performing JSON serialization using the native Builder and Builders components.
  • Working with database persistence via AbstractData POJOs.
  • Generating POJOs from database tables using the generate command.
  • Implementing Server-Sent Events (SSE) for real-time push.
  • Handling file uploads via multipart data.
  • Making outbound HTTP requests with URLRequest and HTTPHandler.
  • Configuring database connections or system settings in application.properties.
  • Debugging routing conflicts (Actions) or CLI argument parsing.

How It Works

The tinystruct framework treats any method annotated with @Action as a routable endpoint for both terminal and web environments. Applications are created by extending AbstractApplication, which provides core lifecycle hooks like init() and access to the request Context.

Routing is handled by the ActionRegistry, which automatically maps path segments to method arguments and injects dependencies. For data-only services, the native Builder and Builders components should be used for JSON serialization to maintain a zero-dependency footprint. The database layer uses AbstractData POJOs paired with XML mapping files for CRUD operations without external ORM libraries.

Examples

Basic Application (MyService)

public class MyService extends AbstractApplication {
    @Override
    public void init() {
        this.setTemplateRequired(false); // Disable .view lookup for data/API apps
    }

    @Override public String version() { return "1.0.0"; }

    @Action("greet")
    public String greet() {
        return "Hello from tinystruct!";
    }

    // Path parameter: GET /?q=greet/James  OR  bin/dispatcher greet/James
    @Action("greet")
    public String greet(String name) {
        return "Hello, " + name + "!";
    }
}

HTTP Mode Disambiguation (login)

@Action(value = "login", mode = Mode.HTTP_POST)
public String doLogin(Request<?, ?> request) throws ApplicationException {
    request.getSession().setAttribute("userId", "42");
    return "Logged in";
}

Native JSON Data Handling (Builder + Builders)

import org.tinystruct.data.component.Builder;
import org.tinystruct.data.component.Builders;

@Action("api/data")
public String getData() throws ApplicationException {
    Builders dataList = new Builders();
    Builder item = new Builder();
    item.put("id", 1);
    item.put("name", "James");
    dataList.add(item);

    Builder response = new Builder();
    response.put("status", "success");
    response.put("data", dataList);
    return response.toString(); // {"status":"success","data":[{"id":1,"name":"James"}]}
}

SSE (Server-Sent Events)

import org.tinystruct.http.SSEPushManager;

@Action("sse/connect")
public String connect() {
    return "{\"type\":\"connect\",\"message\":\"Connected to SSE\"}";
}

// Push to a specific client
String sessionId = getContext().getId();
Builder msg = new Builder();
msg.put("text", "Hello, user!");
SSEPushManager.getInstance().push(sessionId, msg);

// Broadcast to all
// Broadcast to all
SSEPushManager.getInstance().broadcast(msg);

File Upload

import org.tinystruct.data.FileEntity;

@Action(value = "upload", mode = Mode.HTTP_POST)
public String upload(Request<?, ?> request) throws ApplicationException {
    List<FileEntity> files = request.getAttachments();
    if (files != null) {
        for (FileEntity file : files) {
            System.out.println("Uploaded: " + file.getFilename());
        }
    }
    return "Upload OK";
}

MCP Server and Tools Integration

tinystruct provides native support for the Model Context Protocol (MCP) starting with SDK version 1.7.26. The MCP APIs (e.g., org.tinystruct.mcp.MCPTool, org.tinystruct.mcp.MCPServer, org.tinystruct.mcp.MCPException) are included directly in the core dependency:

<dependency>
    <groupId>org.tinystruct</groupId>
    <artifactId>tinystruct</artifactId>
    <version>1.7.26</version>
</dependency>

SECURITY WARNING (Prompt Injection): Tool return values are fed directly back into the AI model's context window. You MUST validate and sanitize all caller-supplied arguments before including them in the tool's return string. Failure to sanitize inputs can allow an attacker to inject adversarial instructions (Prompt Injection) that override the model's behavior. Always validate length, character sets, and nullity.

To create an MCP Tool:

  1. Extend org.tinystruct.mcp.MCPTool.
  2. Annotate operations with @Action and declare parameters using @Argument within the arguments array.
  3. Accept parameters as explicit method arguments matching the keys in @Argument. (Do not use getContext().getAttribute(...) for tool arguments).
import org.tinystruct.mcp.MCPTool;
import org.tinystruct.mcp.MCPException;
import org.tinystruct.system.annotation.Action;
import org.tinystruct.system.annotation.Argument;

public class MyCustomTool extends MCPTool {
    public MyCustomTool() {
        super("custom", "A custom tool for demonstrating MCP");
    }

    @Action(
        value = "custom/hello",
        description = "Say hello to someone",
        arguments = {
            @Argument(key = "name", description = "The name to greet", type = "string", optional = false)
        }
    )
    public String hello(String name) throws MCPException {
        // SECURITY: Validate/sanitize tool inputs before returning to the model
        // to prevent prompt injection vulnerabilities.
        if (name == null || name.length() > 50 || !name.matches("^[a-zA-Z0-9 ]+$")) {
            throw new MCPException("Invalid name provided");
        }
        return "Hello, " + name + "!";
    }
}

To deploy an MCP Server:

  1. Extend org.tinystruct.mcp.MCPServer.
  2. Override init() and register your tools using this.registerTool(). The framework automatically scans and maps the @Action methods.
import org.tinystruct.mcp.MCPServer;

public class MyMCPServer extends MCPServer {
    @Override
    public void init() {
        super.init();
        this.registerTool(new MyCustomTool());
    }

    @Override
    public String version() {
        return "1.0.0";
    }
}

Run the server via the dispatcher:

bin/dispatcher start --import org.tinystruct.system.HttpServer --import com.example.MyMCPServer

Configuration

Settings are managed in src/main/resources/application.properties.

# Database
driver=org.h2.Driver
database.url=jdbc:h2:~/mydb
database.user=sa
database.password=

# Server
default.home.page=hello
server.port=8080

# Locale
default.language=en_US

# Session (Redis for clustered environments)
# default.session.repository=org.tinystruct.http.RedisSessionRepository
# redis.host=127.0.0.1
# redis.port=6379

Access config values in your application:

String port = this.getConfiguration("server.port");

Red Flags & Anti-patterns

SymptomCorrect Pattern
Importing com.google.gson or com.fasterxml.jacksonUse org.tinystruct.data.component.Builder / Builders.
Using List<Builder> for JSON arraysUse Builders to avoid generic type erasure issues.
ApplicationRuntimeException: template not foundCall setTemplateRequired(false) in init() for API-only apps.
Annotating private methods with @ActionActions must be public to be registered by the framework.
Hardcoding main(String[] args) in appsUse bin/dispatcher as the entry point for all modules.
Manual ActionRegistry registrationPrefer the @Action annotation for automatic discovery.
Action not found at runtimeEnsure class is imported via --import or listed in application.properties.
CLI arg not visiblePass with --key value; access via getContext().getAttribute("--key").
Two methods same path, wrong one firesSet explicit mode (e.g., HTTP_GET vs HTTP_POST) to disambiguate.

Best Practices

  1. Granular Applications: Break logic into smaller, focused applications rather than one monolithic class.
  2. Setup in init(): Leverage init() for setup (config, DB) rather than the constructor. Do NOT call setAction() — use @Action annotation.
  3. Mode Awareness: Use the Mode parameter in @Action to restrict sensitive operations to CLI only or specific HTTP methods.
  4. Context over Params: For optional CLI flags, use getContext().getAttribute("--flag") rather than adding parameters to the method signature.
  5. Asynchronous Events: For heavy tasks triggered by events, use CompletableFuture.runAsync() inside the event handler.

Technical Reference

Detailed guides are available in the references/ directory:

Reference Source Files (Internal)

  • src/main/java/org/tinystruct/AbstractApplication.java — Core base class with lifecycle hooks
  • src/main/java/org/tinystruct/system/annotation/Action.java — Annotation & Modes
  • src/main/java/org/tinystruct/application/ActionRegistry.java — Routing Engine
  • src/main/java/org/tinystruct/data/component/Builder.java — JSON object serializer
  • src/main/java/org/tinystruct/data/component/Builders.java — JSON array serializer
  • src/main/java/org/tinystruct/data/component/AbstractData.java — Base POJO class with CRUD
  • src/main/java/org/tinystruct/data/Mapping.java — Mapping XML parser
  • src/main/java/org/tinystruct/data/tools/MySQLGenerator.java — POJO generator reference
  • src/main/java/org/tinystruct/data/component/FieldType.java — SQL-to-Java type mappings
  • src/main/java/org/tinystruct/data/component/Condition.java — Fluent SQL query builder
  • src/main/java/org/tinystruct/http/SSEPushManager.java — SSE connection management
  • src/test/java/org/tinystruct/application/ActionRegistryTest.java — Registry test examples
  • src/test/java/org/tinystruct/system/HttpServerHttpModeTest.java — HTTP integration test patterns

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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