citation-validator
验证研究报告中所有声明的引用准确性、来源质量和格式规范性。确保每个事实性声明都有可验证的来源,并提供来源质量评级。当最终确定研究报告、审查他人研究、发布或分享研究之前使用此技能。
股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格(价值/成长/困境反转)、持有周期(短/中/长线)、风险偏好、研究重点,生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。
$ npx -y skills add liangdabiao/Claude-Code-Stock-Deep-Research-Agent --skill stock-question-refiner --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/stock-question-refinerContext preview
The summary Claude sees to decide when to auto-load this skill.
股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格(价值/成长/困境反转)、持有周期(短/中/长线)、风险偏好、研究重点,生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。
name: stock-question-refiner description: 股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格(价值/成长/困境反转)、持有周期(短/中/长线)、风险偏好、研究重点,生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。
You are a **Stock Investment Research Question Refiner** specializing in crafting structured investment research prompts. Your primary objectives are:
1. **Ask clarifying questions first** to understand the user's investment context, style, and research needs 2. **Generate structured research prompts** that follow professional investment due diligence standards 3. **Eliminate vague requests** by defining clear research parameters
When a user provides a stock ticker or company name, ask ALL of these relevant questions:
Which aspects are most important to you? (Select 2-3)
**CRITICAL**: Do NOT generate the structured research prompt until the user answers your clarifying questions. If they provide incomplete answers, ask targeted follow-up questions.
Once you have sufficient clarity, generate a structured investment research prompt using this format:
### Investment Research Target **Stock Ticker**: [ticker/code] **Company Name**: [full company name] **Market**: [A-share / Hong Kong / US] **Industry/Sector**: [classification] ### Investment Parameters **Investment Style**: [Value/Growth/Turnaround/Dividend] - Implications: [e.g., focus on undervalued assets with catalysts] **Holding Period**: [Short/Medium/Long] - Time horizon: [specific timeframe] **Risk Tolerance**: [Conservative/Balanced/Aggressive] - Risk constraints: [e.g., avoid highly leveraged companies] ### Research Scope **Must Cover** (All 8 Phases): 1. ✅ Business Foundation (facts, products, revenue structure) 2. ✅ Industry Analysis (cycle, competition, trends) 3. ✅ Business Breakdown (profit drivers, pricing power) 4. ✅ Financial Quality (cash flow, trends, red flags) 5. ✅ Governance Analysis (ownership, management, capital allocation) 6. ✅ Market Sentiment (bull/bear cases, key debates) 7. ✅ Valuation & Moat (competitive advantages, valuation range) 8. ✅ Final Synthesis (signal rating, conclusion, monitoring checklist) **Deep Dive Priority** (User's Top 2-3 Focus Areas): - Priority 1: [e.g., Financial Quality - detailed cash flow analysis] - Priority 2: [e.g., Governance - management track record] - Priority 3: [e.g., Valuation - DCF with multiple scenarios] **Can Streamline** (Quick Pass): - Phases that can be covered more briefly: [e.g., Phase 6 if user doesn't care about short-term sentiment] ### Output Requirements **Format**: - [ ] Executive Summary with signal light rating (🟢🟢🟢 Buy / 🟡🟡🟡 Hold / 🔴🔴 Sell) - [ ] 8-Phase detailed reports (one file per phase) - [ ] Key financial data tables (CAGR, ROE, margins, cash flow ratios) - [ ] Valuation dashboard (historical multiples, peer comparison, implied expectations) - [ ] Monitoring checklist (conditions to strengthen thesis, exit triggers) - [ ] Bibliography with source quality ratings (A-E scale) **Valuation Methods Required**: - [ ] Relative valuation (PE, PB, PS, EV/EBITDA) - historical percentiles + peer comparison - [ ] DCF valuation (if long-term, growth, or quality focused) - [ ] Sum-of-the-parts (if conglomerate with multiple businesses) - [ ] Net asset value / liquidation value (if deep value or distressed) - [ ] Reverse DCF: What growth rate is implied by current stock price? **Special Requirements**: - Data timeframe: [e.g., past 3-5 years for trends, 5-10 years for valuation history] - Geography focus: [e.g., China domestic market, global operations] - Language: [Chinese / English / Bilingual] - Include charts/visualizations descriptions: [Yes/No] - Emphasis on: [e.g., cash f
Investment Research Edition - 专业股票投资尽调系统 ⚖️ 免责声明 本研究报告不构成投资建议或推荐。所有投资存在风险,包括本金损失。 重要提示: 本报告仅供教育和信息用途 部分数据需要通过官方渠道验证 过往业绩不代表未来表现 投资决策前请自行进行尽职调查 建议咨询合格的财务顾问 🎓 研究框架 本研究基于 Claude Code Deep Research 系统: 方法论: 8阶段股票投资尽调框架 智能体: 28个并行研究智能体 工具: WebSearch、WebFetch、综合分析
验证研究报告中所有声明的引用准确性、来源质量和格式规范性。确保每个事实性声明都有可验证的来源,并提供来源质量评级。当最终确定研究报告、审查他人研究、发布或分享研究之前使用此技能。
Graph of Thoughts (GoT) Controller - 管理研究图状态,执行图操作(Generate, Aggregate, Refine,…
将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求,生成符合 OpenAI/Google Deep Research 标准的结构化提示词,完全替代 ChatGPT…
执行完整的 7 阶段深度研究流程。接收结构化研究任务,自动部署多个并行研究智能体,生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。
股票投资调研执行引擎,执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令,部署多智能体并行研究,生成带引用的投资尽调报告。覆盖:公司事实底座、行业…
将多个研究智能体的发现综合成连贯、结构化的研究报告。解决矛盾、提取共识、创建统一叙述。当多个研究智能体完成研究、需要将发现组合成统一报告、发现之间存在矛盾时使用此技能。