feat: Add complete Agentic Compaction & Pipeline System

- Context Compaction System with token counting and summarization
- Deterministic State Machine for flow control (no LLM decisions)
- Parallel Execution Engine (up to 12 concurrent sessions)
- Event-Driven Coordination via Event Bus
- Agent Workspace Isolation (tools, memory, identity, files)
- YAML Workflow Integration (OpenClaw/Lobster compatible)
- Claude Code integration layer
- Complete demo UI with real-time visualization
- Comprehensive documentation and README

Components:
- agent-system/: Context management, token counting, subagent spawning
- pipeline-system/: State machine, parallel executor, event bus, workflows
- skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.)
- src/app/: Next.js demo application

Total: ~100KB of production-ready TypeScript code

skills/LLM/scripts/chat.ts

@@ -0,0 +1,32 @@
+import ZAI, { ChatMessage } from "z-ai-web-dev-sdk";
+
+async function main(prompt: string) {
+  try {
+    const zai = await ZAI.create();
+
+    const messages: ChatMessage[] = [
+      {
+        role: "assistant",
+        content: "Hi, I'm a helpful assistant."
+      },
+      {
+        role: "user",
+        content: prompt,
+      },
+    ];
+
+    const response = await zai.chat.completions.create({
+      messages,
+      stream: false,
+      thinking: { type: "disabled" },
+    });
+
+    const reply = response.choices?.[0]?.message?.content;
+    console.log("Chat reply:");
+    console.log(reply ?? JSON.stringify(response, null, 2));
+  } catch (err: any) {
+    console.error("Chat failed:", err?.message || err);
+  }
+}
+
+main('What is the capital of France?');