30x-mckinsey-research-deck
McKinsey-grade market research decks for Claude Code — adversarially verified numbers, 15 McKinsey methodologies as executable workflow, multi-agent pipeline. 一条指令产出敢被挑战的麦肯锡级市场研究 deck。
三页决策页不是模型一口气写完的。流水线是：分析师 agent 出页（每行算式可查）→ 怀疑论 EM agent 重新推导每个数字——查重复计算、查单位混淆、专杀过于乐观的转化率/毛利/回本期。Swall 那次，验证者把团队渗透率从 40% 砍到 25%、star 转化率从 0.5 砍到 0.2。敢输出难看的数字，是这个 skill 和"AI 画饼工具"的本质区别。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/norahe0304-art-30x-mckinsey-research-deck — read its card at https://meshkore.com/agent/norahe0304-art-30x-mckinsey-research-deck/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/norahe0304-art-30x-mckinsey-research-deckFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/norahe0304-art-30x-mckinsey-research-deck/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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