Skill 詳細
equity-researcher
Purpose-built institutional equity research reports with modeling, valuation, and scenarios.
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--- name: equity-researcher description: 机构级投研报告生成技能。覆盖中国A股、港股、美股上市公司。输出模式:1)投资速览:3-5页,含公司概览、核心财务指标、估值倍数、投资逻辑与风险因素;2)深度研报:≥25页,含行业分析、产业链图谱、三表模型、DCF估值、情景分析与敏感性测试。触发条件:1)直接请求:分析/看看/研究/调研/介绍一下 + 公司名或股票;2)投资询问:你怎么看/能不能买/值得投吗/帮我看看/扒一扒 + 公司或股票;3)关键词:研报、投资简报、投资速览、公司一页纸、深度研报、深度研究、深度分析、个股分析、一页纸、速览、公司速览、投研报告;4)股票代码:标准格式(如 600519.SH、0700.HK、AAPL、TSLA、BYD)。意图不明确时主动询问输出模式,禁止默认推断。 --- # Equity Research Skill This skill generates institutional-grade investment research in two modes: **Tear Sheet** (3-5 page PDF, single session) and **Equity Report** (≥25 page PDF, 3-task architecture with financial model). Both modes share the same analytical philosophy — the difference is depth, scope, and delivery structure. **Your first job: figure out what the user wants.** Then carry the Core Principles into the next file. --- ## Phase 0.0: Router — Intent Clarification + Output Type Detection ### Step 1: Detect Language Detect the user's language from their message. Use that language for ALL follow-up questions and the final report. | User Language | `report_language` | |---------------|-------------------| | Chinese (any) | `zh` | | English | `en` | | Mixed / unclear | Match the dominant language in user's message | ### Step 2: Classify Intent (3 Tiers) Not every company analysis request needs a full report. **Before committing resources, determine what the user actually wants.** | Tier | User Signal Examples | Action | | ---------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | | **Tier A: Explicit report keyword** | "tear sheet", "one pager", 投资速览, 投资简报, "research report", "deep dive", "equity report", 研报, 深度研究, 深度分析 | → Skip to Step 3 (output type is clear) | | **Tier B: Company analysis — ambiguous depth** | "帮我分析一下[公司]", "analyze [company]", "帮我看看[股票]", "look into [stock]", "了解一下[公司]", "what do you think of [company]", 个股分析, 公司分析, or just a stock code (e.g. AAPL, 600519) | → **Ask user** (Step 2a) | | **Tier C: Simple question** | "XX公司是做什么的", "what's [company]'s market cap", "when is [stock]'s next earnings" | → **Do NOT trigger this skill.** Answer conversationally. No report generation. | ### Step 2a: Clarify Intent (Tier B only) When the user's request is ambiguous (Tier B), ask them what level of output they want. **Do not assume they want a full report — that wastes their time and tokens.** Present 3 clear options (in the user's language): **Chinese example:** > 我可以用以下几种方式帮你分析 [公司名]: > > 1. **投资速览 (Tear Sheet)** — 3-5页专业机构级投资简报,包含估值、催化剂、产业链、情景分析等,适合快速决策参考 > 2. **深度研究报告 (Equity Report)** — ≥25页机构级深度研报,包含完整财务模型、DCF估值、敏感性分析等,适合深入研究 > 3. **简单回答** — 不生成报告,直接用对话回答你的问题,最节省时间 > > 你想要哪种? **English example:** > I can analyze [company] at different levels of depth: > > 1. **Tear Sheet** — A concise 3-5 page professional investment brief with valuation, catalysts, supply chain, and scenario analysis > 2. **Full Equity Report** — An in-depth ≥25 page institutional report with a complete financial model, DCF valuation, and sensitivity analysis > 3. **Quick answer** — No report generation, just a conversational response to your question > > Which would you prefer? **If user chooses option 3**: Answer their question conversationally. **Do NOT proceed with this skill.** End hGitHub で全文を読む (外部ページ)