Art & Design

AI Native SecOps platform powered by LangGraph multi-agent orchestration. Automated alert triage, pluggable skills, and human-in-the-loop command execution — all in one React WebUI.

Idea → Prototype → Reality: Agentic journeys to help you build and deploy applications to Azure using agents and skills.

One plugin to bridge and delegate across Claude Code, Codex CLI, and Gemini CLI — single-source AGENTS.md, shared skills, mirrored hooks and MCP servers, and full Claude↔Codex bidirectional delegation.

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Exercise: Build applications with GitHub Copilot agent mode

ClawChat — Android AI Agent chat with built-in Alpine Linux environment. Multi-model, tool-calling, skill system.

Agent guidelines, skills, evals and co.

A skill framework that enables AI coding agents to practice disciplined agile software development through structured SKILL.md workflows — from requirements clarification and technical specifications to test-driven development and systematic debugging.

Azure SRE Agent — Skills, Hooks & Deployment Guide

React Full-Stack Pipeline — Claude Code Plugin: 20 skills, 6 agents, 26 trained libraries, 23 design system specs. Complete React dev lifecycle from brainstorming to deploy.

Battle-tested system for consistent, high-quality Claude Code sessions. Layered config, session continuity, decay prevention, skill-driven workflows.

Exercise: Build applications with GitHub Copilot agent mode

Flutter Ultra MCP plugin: 8 MCP servers + ultra_flutter Dart packages + skills, replacing marionette_mcp and dart mcp-server with full cross-platform Flutter automation for Claude Code.

NLP project in collaboration with WHO, covering an agent-agnostic localization skill.

🚀 Monitor and manage multi-agent workflows with the Gastown Viewer Intent dashboard, featuring real-time tracking and interactive visualizations.

Squid Mesh is a Jido-native durable workflow layer with a friendly Elixir DSL for human-in-the-loop and agentic workflows

Deterministic graph runtime for agent workflows in Swift. Same input, same output, every time — golden-testable, checkpoint-resumable, and built entirely on Swift concurrency.

Fluent DSL for building durable agentic workflows and ontologies in .NET.

No hype, just architecture. A technical deep-dive into the raw components of the AI revolution—from Large Language Models to Agentic workflows—analyzed through the lens of scalable system design.

Local control tower for orchestrating tmux-based AI agent workflows

Containerise the AECA agentic workflow system with a single command. Multi-phase CI/CD pipeline: validate, build wheel, generate Dockerfile & compose, build production image.

Flowise-based multi-agent AI orchestration system using RAG, OpenAI embeddings, FAISS vector search, and sequential agent workflows for retrieval-grounded content generation and enterprise AI pipeline design.

Local-first AI development platform — VS Code extension · CLI · Web UI. Multi-agent workflow: Planner→Writer→Reviewer→Tester. Proudly Made in Canada.

wanman is an open-source agent matrix runtime inspired by Japanese one-man trains. It lets human users step back into an observer role while local agent runtimes coordinate autonomous multi-agent workflows, task execution, and artifacts.