From agi-super-team
Structured 10-dimension framework for company investment research and due diligence. Produces consistent investment memos with moat, tech, market, customers, growth, financials, geography, governance, valuation, and recommendation analysis.
How this skill is triggered — by the user, by Claude, or both
Slash command
/agi-super-team:company-investment-researchThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides a systematic framework for conducting comprehensive investment research and due diligence on companies. It structures analysis across 10 critical dimensions to support informed investment decisions.
This skill provides a systematic framework for conducting comprehensive investment research and due diligence on companies. It structures analysis across 10 critical dimensions to support informed investment decisions.
本技能为公司基本面研究提供一套结构化投研框架,覆盖 10 个关键维度,帮助你从零开始梳理一家公司的商业模式、竞争力、增长与估值,并最终形成一份有逻辑的投资结论。
Use this skill when you need to:
适合在以下场景使用:
"Analyze NVIDIA (NVDA) as an investment using the company-investment-research framework. Follow all 10 dimensions and end with a clear BUY/HOLD/SELL view, including key risks."
「请基于
company-investment-research投研框架,系统分析英伟达(NVIDIA, NVDA)的投资价值,按 10 个维度展开,最后给出 BUY/HOLD/SELL 判断,并列出关键风险。」
"Using the company-investment-research skill, compare NVIDIA vs AMD as AI infrastructure investments. Highlight differences in moat, growth drivers, and valuation, then state which one looks more attractive on a 3–5 year horizon and why."
「使用该投研框架对比分析 NVIDIA 与 AMD 作为 AI 基础设施投资标的的优劣,从护城河、成长驱动、估值三方面重点展开,并给出未来 3–5 年哪个更具吸引力及原因。」
"Run a lightweight version of the company-investment-research framework on Snowflake. Focus on competitive positioning, growth drivers, and valuation to decide whether it deserves full deep-dive research."
「对 Snowflake 做一版简化版投研:重点看竞争地位、成长驱动和估值,判断是否值得投入时间做完整深度研究。」
"Create a 2–3 page investment memo for Tesla using the company-investment-research structure. The target audience is an investment committee; keep language concise but include key numbers and scenarios (base/bull/bear)."
「按照本框架,为特斯拉生成一份 2–3 页的投资备忘录,供投委会讨论使用:语言简洁,但需包含核心数据与基础/乐观/悲观三种情景。」
Below are add-on checklists for specific industries. Use them on top of the 10 core dimensions.
下面是针对特定行业的额外检查项,在 10 大通用维度基础上叠加使用即可。
Typical businesses / 典型业务: 内容平台、电商、社交、短视频、本地生活等。
Extra focus areas / 额外关注点:
User metrics / 用户指标
Engagement & retention / 使用粘性与留存
Monetization model / 变现模式
Unit economics / 单位经济模型
Additional questions / 可直接提问的附加问题:
Prompt 示例: 「针对某互联网平台公司,在 10 大维度基础上,额外重点分析用户增长 & 留存、变现模式与单位经济模型,并结合监管风险给出中长期盈利能力判断。」
Typical businesses / 典型业务: GPU/CPU/ASIC 设计、晶圆制造(Foundry)、封装测试、设备与材料等。
Extra focus areas / 额外关注点:
Position in the value chain / 产业链位置
Technology node & roadmap / 工艺节点与技术路线
End markets & demand drivers / 下游应用与需求驱动
Capacity & supply constraints / 产能与供给约束
Additional questions / 可直接提问的附加问题:
Prompt 示例: 「针对某半导体公司,在 10 大维度基础上,重点补充其在产业链中的位置、主要下游应用结构、工艺/产品路线图以及 AI/汽车电子等结构性需求的暴露度,并评估地缘政治对其业务的潜在影响。」
Typical businesses / 典型业务: 连锁咖啡品牌、连锁茶饮、快餐/休闲餐厅品牌等。
Extra focus areas / 额外关注点:
Store economics / 单店模型
Same-store sales & expansion / 同店增长与扩店节奏
Brand & customer perception / 品牌力与消费者心智
Supply chain & cost structure / 供应链与成本结构
Additional questions / 可直接提问的附加问题:
Prompt 示例: 「针对某连锁咖啡品牌,在 10 大通用维度基础上,重点拆解单店经济模型(投资额、回本周期、毛利结构)、同店增长与扩店策略、品牌定位与复购率,并评估在不同经济周期下的抗压能力。」
When analyzing a company for investment, follow this structured approach to ensure comprehensive coverage:
在分析一家公司时,建议按以下 10 个维度逐一梳理,避免遗漏关键点:
Core Questions:
Search Strategy:
Analysis Approach:
Core Questions:
Search Strategy:
Key Metrics:
Core Questions:
Search Strategy:
Analysis Framework:
Core Questions:
Search Strategy:
Risk Assessment:
Core Questions:
Search Strategy:
Evaluation Criteria:
Core Questions:
Search Strategy:
Analysis Components:
Core Questions:
Search Strategy:
Key Considerations:
Core Questions:
Search Strategy:
Governance Assessment:
Core Questions:
Search Strategy:
Valuation Framework:
Synthesize all analysis into clear recommendation:
If Investment is Recommended:
If Investment is NOT Recommended:
Present findings in a clear, structured format:
# Investment Analysis: [Company Name]
**Date:** [Current Date]
**Analyst:** [Your Name or Agent]
## Executive Summary
[2-3 paragraph overview with key takeaway and recommendation]
## 1. Competitive Positioning
[Findings]
## 2. Technology & Innovation
[Findings]
## 3. Market Position
[Findings]
## 4. Customer Base
[Findings]
## 5. Growth Analysis
[Findings]
## 6. Financial Performance
[Findings]
## 7. International Exposure
[Findings]
## 8. Ownership & Governance
[Findings]
## 9. Valuation
[Findings]
## 10. Investment Recommendation
**Recommendation:** BUY / HOLD / SELL
**Target Price:** [If applicable]
**Investment Thesis:** [Key reasons]
**Key Risks:** [Main concerns]
建议在实际使用中,将上述结构作为 Markdown 模板,一边研究一边填空,最终沉淀为可复用的投研文档库。
Use Multiple Sources / 多源交叉验证
Cross-reference information from company filings, analyst reports, news, and financial databases.
Verify Timeliness / 确保数据新鲜度
Always check dates on data – use the most recent available information.
Quantify When Possible / 尽量量化
Provide specific numbers, percentages, and metrics rather than only qualitative descriptions.
Acknowledge Limitations / 明确假设与局限
Note when information is unavailable or when making assumptions.
Maintain Objectivity / 保持客观
Present both bullish and bearish perspectives; avoid confirmation bias.
Source Attribution / 标注关键来源
Cite sources for key data points, especially financial figures.
This skill focuses on how to think and structure research. For data and filings, pair it with external tools/APIs.
本技能侧重于思考框架与结构化输出,财报与数据建议通过其他工具或脚本获取,然后作为本框架的输入。
示例以美股为主(可按同样思路换成 A 股/港股对应数据源):
Download latest 10-K / 10-Q filings
Use any SEC helper tool or script, for example:
# Example: download the latest 10-K for NVIDIA (NVDA) into ./filings
sec-edgar-downloader company "NVIDIA" \
--form-type 10-K --num 1 --download-folder ./filings
Fetch key financials via an API or Python script
For example, a simple Python entry point:
python scripts/fetch_financials.py --ticker NVDA --out data/nvda.json
The script can query any financial data provider (Yahoo Finance, financial APIs, etc.) and standardize outputs (revenue, margins, key ratios) for later use in this framework.
Use web_fetch for qualitative sections
For business descriptions, risk factors, and management discussion, you can:
1. Download the filing (PDF/HTML)
2. Use web_fetch to extract key sections into markdown
3. Feed those into the 10-dimension analysis
推荐实践:将「数据抓取脚本 + 本投研框架」放在同一项目中,通过 Makefile 或 shell 脚本串联,形成一键跑通的投研流水线(先拉数据,再生成报告草稿)。
npx claudepluginhub aaaaqwq/agi-super-team --plugin agi-super-teamConducts deep competitive moat analysis using Morningstar framework, assesses market position and industry dynamics for investment returns and valuation.
Researches companies, industries, or competitor sets via web search across seven analytical lenses. Produces structured intel for downstream PM skills like battlecards, SWOT, and positioning.
Conducts market research, competitive analysis, investor due diligence, and technology scans with source attribution and decision-oriented summaries.