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Prescriptive Q&A workflow for designing agentic pipelines, multi-model councils, sub-agent hierarchies, and tool-loop hardening for any domain. Use when the user asks to "design an agent", "design a multi-agent system", "should I use a council/debate", "build a [domain] review agent" (HAZOP, finance, tutorial, marketing, compliance, accounting), "real agency vs workflow", "how to add sub-agents", "AI for [domain] review", or names patterns like "orchestrator-worker", "evaluator-optimizer", "Magentic", "ReAct", "plan-and-execute", "handoffs". Walks the user through 12 stages one question at a time and emits a buildable design doc with citations. Do NOT use for general coding questions, single-shot prompt tuning, or bare "use Claude to do X" requests with no agency requirement.

Generate architecture diagrams as .excalidraw files from codebase analysis, with optional PNG/SVG export. Use when the user asks to create architecture diagrams, system diagrams, visualize codebase structure, generate excalidraw files, export excalidraw diagrams to PNG or SVG, or convert .excalidraw files to image formats.

This skill should be used when the user asks to "share this HTML", "publish HTML", "get a link for this file", "share this report", "make this shareable", "upload this HTML", or wants to publish any HTML artifact for others to view. ALSO use it for collaborative review on an HTML doc/spec/report — triggers include "get feedback on this", "let reviewers comment", "collect feedback", "share for review", "let people annotate this", "synthesize the feedback", "converge the feedback", "what did reviewers say", "incorporate the comments", or "improve this from the feedback". Wraps Surge.sh for zero-cost hosting with guided privacy options, plus an embedded annotation + AI converge workflow.

Build and update high-converting SaaS landing pages with GTM-aware marketing copy, competitive positioning, and sales psychology. Use when creating new landing pages, rewriting feature cards, updating marketing copy, launching product pages, or transforming technical features into customer-facing sales language. Triggers on "build landing page", "update feature cards", "rewrite marketing copy", "create product page", "launch page", "GTM", "sales copy", "competitive positioning", or when converting product features into conversion-focused web pages.

Decide whether your agent actually needs persistent memory, feedback loops, or closed-loop learning, then design the smallest thing that pays for itself. Use when the user says "add memory", "give my agent context management", "make my agent learn", "self-improving / closed-loop", "Reflexion / mem0 / Letta / MemGPT", "AriGraph", "agent memory architecture", "long-term memory for chatbot", "why does my agent keep forgetting / making the same mistake", "fine-tune from agent traces", or asks for a memory schema / experience store / reward model. Filters ruthlessly — most teams want a state cache, not memory + learning. Default position is scratchpad-only with a stateless agent shipped first.