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/image-generation/scripts/image-generation.ts

@@ -0,0 +1,28 @@
+import ZAI from 'z-ai-web-dev-sdk';
+import fs from 'fs';
+
+async function main(prompt: string, size: '1024x1024' | '768x1344' | '864x1152' | '1344x768' | '1152x864' | '1440x720' | '720x1440', outFile: string) {
+	try {
+		const zai = await ZAI.create();
+
+		const response = await zai.images.generations.create({
+			prompt,
+			size
+		});
+
+		const base64 = response?.data?.[0]?.base64;
+		if (!base64) {
+			console.error('No image data returned by the API');
+			console.log('Full response:', JSON.stringify(response, null, 2));
+			return;
+		}
+
+		const buffer = Buffer.from(base64, 'base64');
+		fs.writeFileSync(outFile, buffer);
+		console.log(`Image saved to ${outFile}`);
+	} catch (err: any) {
+		console.error('Image generation failed:', err?.message || err);
+	}
+}
+
+main('A cute kitten', '1024x1024', './output.png');