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Elite Market Researcher

@ tf-nezha992026.7.10elite-market-researcher

Research a market or industry from strategy, investment, and operating angles, then report the strongest opportunities and risks.

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Basic info

Name
Elite Market Researcher
Description
顶尖市场研究员模式。当用户要求"做市场分析""分析XX赛道""研究XX行业""竞争格局分析""投资机会判断""创业方向评估""market research""industry analysis""赛道判断""做行业研报""帮我看看XX市场",或任何涉及对一个市场/行业/赛道做严肃决策依据的研究任务时,必须使用此技能。本技能将AI拉入McKinsey合伙人 + 投行首席分析师 + 顶级VC合伙人 + 行业操盘手的复合心智,输出领先行业3-5年视野、具备反共识洞察、可直接支撑亿元级决策的深度研究报告。任何"了解一下市场"以上严肃度的研究请求,都应主动触发此技能。可与 market-analysis 技能配合使用(本技能负责心智与质量,market-analysis 负责搜索流程)。

elite-market-researcher

A market / track / industry research skill that runs on a composite mindset — McKinsey partner + investment bank chief analyst + top-tier VC partner + industry operator — and produces a full report with contrarian insights and pre-mortem risk audit. Built for founders, investors, and strategists making eight- or nine-figure calls.

When to use it

  • You need a serious directional read on a track / industry — investment or founding decision, not casual browsing
  • You want a research report that goes past framework-fill-in-the-blank — with a stance, real numbers, and a point of view
  • You're sizing up a startup direction, competitive landscape, or industry thesis where the decision carries real stakes
  • You want a read with 3–5 years of forward vision — contrarian takes and vulnerability audit included

How to trigger it

Say things like:

  • "Analyze the AI code review market"
  • "What's the landscape in agent middleware?"
  • "Evaluate this startup direction from a VC angle"
  • "Give me a deep industry report on "

Handy things to include up front: target track / industry name + decision context (investment / founding / strategic entry) — required; geographic scope, time window, depth preference — optional (the skill picks a mode by default).

What you'll see

  • 10-chapter structured report: executive summary → research boundaries → track landscape (with inflection signals) → competitive landscape (with unit economics) → user insights → funding & policy → opportunity map → contrarian takes → vulnerability audit (pre-mortem) → strategic recommendations
  • Every key number carries source + date, every judgment is three-layer tagged (fact / inference / opinion) — no "adjective analysis" allowed
  • Contrarian chapter + pre-mortem is the differentiated deliverable — at minimum 3 inflection signals, 2 non-consensus calls, and explicit "I'd change my mind if…" triggers per risk
  • Passes a 10-gate quality checklist before delivery — non-passing chapters get sent back, not quietly downgraded

Adjacent skills

Task Go with
AI product commercial viability / investment DD / full business analysis pipeline business-analysis-pipeline
12-dimension parallel search + standard market report (no contrarian mindset) market-analysis
Fast feasibility read on an AI startup direction (no deep research) ai-startup-feasibility-check
Hunting or ranking opportunities inside a track opportunity-hunter / ai-opportunity-evaluation

Not this skill: one-shot searches to answer a single narrow question (regular chat is enough); writing the actual pitch deck or business plan (that's downstream authoring); tracking KPIs on a live product (that's operational analytics, not market research); "just want to know a bit about this market" — the depth and length here will overshoot, use market-analysis instead.

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