Agent skill

Company Investment Research

Structured, multi-dimensional company investment research framework for AI agents and human analysts.

MITAuto-check passedBusiness, Finance & HR

Install Company Investment Research

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team company-investment-research --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/company-investment-research .claude/skills/company-investment-research && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "company-investment-research" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research into .claude/skills/company-investment-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "company-investment-research", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team company-investment-research --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/company-investment-research .agents/skills/company-investment-research && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "company-investment-research" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research into .agents/skills/company-investment-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "company-investment-research", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team company-investment-research --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/company-investment-research .cursor/skills/company-investment-research && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "company-investment-research" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research into .cursor/skills/company-investment-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "company-investment-research", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/aAAaqwq/AGI-Super-Team.git --path skills/company-investment-research

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team company-investment-research --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/company-investment-research .gemini/skills/company-investment-research && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "company-investment-research" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research into .gemini/skills/company-investment-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "company-investment-research", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team company-investment-research

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/company-investment-research .github/skills/company-investment-research && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "company-investment-research" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research into .github/skills/company-investment-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "company-investment-research", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install aAAaqwq/AGI-Super-Team company-investment-research --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/aAAaqwq/AGI-Super-Team.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/company-investment-research .opencode/skills/company-investment-research && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "company-investment-research" agent skill from https://github.com/aAAaqwq/AGI-Super-Team/tree/main/skills/company-investment-research into .opencode/skills/company-investment-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "company-investment-research", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: company-investment-research
GitHub stars: 105
Used in: 1 other repo
Token cost: ~4k tokens
SKILL.md length: 1,631 words
Files: 5 (incl. references)
Skills in repo: 167
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Structured, multi-dimensional company investment research framework for AI agents and human analysts.

Works in 12 steps: Single-company deep dive / 单公司深度研究 → Compare two companies in the same sector… → Rapid pre-screening / 快速预筛选 → …
Business, Finance & HR work in your project
SKILL.md covers When to Use / 适用场景, Quick Usage Examples / 快速使用示例, Industry Templates / 行业模板示例 and Research Framework / 研究框架, plus 4 more sections
Calls python

What it does

Company Investment Research is an agent skill from aAAaqwq/AGI-Super-Team. Structured, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架，用 10 大维度系统梳理商业模式、护城河、成长与估值，快速产出结构化投研报告。

Its SKILL.md is about 4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `.clawhub/origin.json`, `_meta.json` and `references/analysis-framework.md`).

It sits in Business, Finance & HR. It works with NVIDIA AI Platform. The repository describes itself as: An installable, cross-framework AI organization: C-suite agents, expert subagents, curated skills, independent review, and one-command setup across 18 AI client/runtime adapters. The licence is MIT.

When your agent uses it

Business, Finance & HR work in your project

Example prompts

“/company-investment-research”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

Single-company deep dive / 单公司深度研究
Compare two companies in the same sector / 同行业公司对比
Rapid pre-screening / 快速预筛选
Memo generation for internal discussion / 生成内部讨论用 Memo
Competitive Positioning Analysis / 竞争优势与护城河
Technology & Innovation Assessment / 技术与研发能力
Market Position & Competition / 市场份额与竞争格局
Customer Analysis / 客户结构与集中度
Growth Trajectory & New Opportunities / 成长路径与新机会
Historical & Projected Financials / 历史与预测财务
International Exposure / 海外业务与地缘风险
Ownership & Governance / 股权结构与公司治理

What it can do on your machine

Read from SKILL.md and the folder at commit 7cefd81. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Company Investment Research loads about 4k tokens when it runs, and up to ~8.1k if it reads all its reference files. Until then it costs about 100 tokens; SKILL.md has 1,631 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~100
When it runs · the whole SKILL.md, loaded when a task matches: ~4k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~8.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aAAaqwq/AGI-Super-Team at commit 7cefd81, republished under its MIT licence (© aAAaqwq). 1,631 words, ~3,958 tokens.

Download SKILL.mdSave it as .claude/skills/company-investment-research/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: company-investment-research
description: Structured, multi-dimensional company investment research framework for AI agents and human analysts. Provides a 10-part checklist (moat, tech, market, customers, growth, financials, geography, governance, valuation, recommendation) to turn scattered info into a consistent, high-quality investment memo. | 面向 AI Agent 与人工分析师的公司投研框架，用 10 大维度系统梳理商业模式、护城河、成长与估值，快速产出结构化投研报告。

Company Investment Research / 公司投资研究框架

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。

When to Use / 适用场景

Use this skill when you need to:

Evaluate a company as a potential investment (public or late-stage private)
Understand a company's competitive advantages and moat vs peers
Produce a structured investment memo instead of scattered notes
Compare two or more companies in the same sector on a consistent framework

适合在以下场景使用：

对某家公司做系统性投研/估值评估（上市公司或准上市公司）
想明白它相对于同行的护城河与竞争地位
需要输出一份结构清晰的投研报告/投资备忘录
在同一行业内对比多家公司，希望有统一的分析模板

Quick Usage Examples / 快速使用示例

1. Single-company deep dive / 单公司深度研究

"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。」

2. Compare two companies in the same sector / 同行业公司对比

"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。」

3. Rapid pre-screening / 快速预筛选

"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。」

4. Memo generation for internal discussion / 生成内部讨论用 Memo

"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。」

Industry Templates / 行业模板示例

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。

A. Internet Platforms (Consumer Internet) / 互联网平台

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
- MAU/DAU 走势、渗透率、区域分布
- 用户结构（核心用户 vs 长尾用户）
Engagement & retention / 使用粘性与留存
- 人均使用时长、留存（7 日 / 30 日 / 12 个月）
- 用户生命周期路径（拉新→激活→留存→复购/付费）
Monetization model / 变现模式
- 广告 / 订阅 / 交易抽佣 / 增值服务
- ARPU、付费率、广告负载（广告占用用户时间的比例）
Unit economics / 单位经济模型
- CAC（获客成本）、LTV、回本周期
- 不同渠道/城市/品类的获客效率差异

Additional questions / 可直接提问的附加问题：

What are the key user cohorts and how do their retention/ARPU differ?
How does the company balance growth vs profitability (e.g., marketing spend intensity)?
What regulatory risks exist around data privacy, content moderation, or platform power?

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。」

B. Semiconductors / 半导体

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
- Fabless（无晶圆设计）、IDM、一体化厂商、Foundry（代工）、OSAT（封测）、设备/材料
- 上游/下游依赖关系
Technology node & roadmap / 工艺节点与技术路线
- 制程节点（3nm/5nm/7nm/成熟制程）
- 关键产品的性能/功耗/成本相对优势
- 与主要代工厂（如 TSMC/Samsung）的绑定深度与议价力
End markets & demand drivers / 下游应用与需求驱动
- 智能手机、PC、数据中心、汽车电子、工业、IoT 等占比
- 周期性 vs 结构性需求（如 AI、汽车电子的渗透提升）
Capacity & supply constraints / 产能与供给约束
- 产能利用率、扩产/资本开支计划
- 上游瓶颈（设备交付、材料供应）

Additional questions / 可直接提问的附加问题：

Which part of the semiconductor value chain does the company dominate, and how cyclical is that segment?
How exposed is the company to AI, automotive, or other structural growth drivers?
What are the key supply chain/geopolitical risks (export controls, tariffs, onshoring)?

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。」

C. Chain Coffee & Food Service / 连锁咖啡与餐饮服务

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
- 单店投资额、回本周期
- 单店收入结构（堂食/外卖/零售）、毛利率
- 不同城市/商圈/模型（街边店、商场店、写字楼店）的差异
Same-store sales & expansion / 同店增长与扩店节奏
- 同店销售增长（SSS）走势
- 开店与关店节奏，新店 vs 老店贡献
- 是否存在“激进开店 → 同店下滑 → 关店潮”的风险
Brand & customer perception / 品牌力与消费者心智
- 品牌定位（高端 / 大众 / 性价比）
- 核心产品力（咖啡/饮品/食品）与价格带
- 用户复购率、会员体系、社交媒体口碑
Supply chain & cost structure / 供应链与成本结构
- 原材料成本（咖啡豆、乳制品、辅料）、人工、租金占比
- 集中采购与议价能力
- 食品安全与供应链稳定性

Additional questions / 可直接提问的附加问题：

What does a typical store P&L look like (revenue, gross margin, fixed costs)?
How sustainable is the pace of new store openings without diluting unit economics?
How sensitive is the business to macro factors (consumer confidence, rent, raw material prices)?

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。」

Research Framework / 研究框架

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：

1. Competitive Positioning Analysis / 竞争优势与护城河

Core Questions:

What are the company's core competitive advantages compared to rivals?
What is the company's economic moat? (network effects, switching costs, cost advantages, intangible assets, scale)
How sustainable and defensible is this moat?

Search Strategy:

Search for "[Company] competitive advantages moat"
Search for "[Company] vs [Top Competitor] comparison"
Look for industry analyst reports on competitive landscape

Analysis Approach:

Identify unique value propositions
Evaluate barriers to entry
Assess competitive intensity using Porter's Five Forces framework
Determine moat width (narrow/wide) and durability (temporary/enduring)

2. Technology & Innovation Assessment / 技术与研发能力

Core Questions:

How large is the technology/R&D team?
How many patents does the company hold? Any key patents?
What is the R&D expense ratio (R&D/Revenue)?
What are the core technological advantages?

Search Strategy:

Search for "[Company] R&D spending annual report"
Search for "[Company] patents technology"
Search for "[Company] innovation pipeline"
Check company's latest 10-K/annual report for R&D headcount

Key Metrics:

R&D headcount and growth trend
Patent portfolio size and quality
R&D intensity (industry benchmark comparison)
Technology leadership indicators

3. Market Position & Competition / 市场份额与竞争格局

Core Questions:

What is the market share in primary markets?
What is the industry ranking (top 3, top 5, etc.)?
Who are the main competitors?
How is market share trending?

Search Strategy:

Search for "[Industry] market share [Year]"
Search for "[Company] market position ranking"
Search for "[Company] competitors landscape"

Analysis Framework:

Market share % and rank
Competitive landscape mapping
Market concentration (HHI index if available)
Competitive dynamics and threats

4. Customer Analysis / 客户结构与集中度

Core Questions:

Who are the largest customers?
What is customer concentration (top 5/10 customers as % of revenue)?
What is customer diversification across industries/geographies?
What is customer retention rate?

Search Strategy:

Search for "[Company] major customers annual report"
Search for "[Company] customer concentration risk"
Review 10-K risk factors section

Risk Assessment:

High concentration (>20% from single customer) = significant risk
Diversified customer base = lower risk
Long-term contracts and relationships = positive indicator

5. Growth Trajectory & New Opportunities / 成长路径与新机会

Core Questions:

What is the current growth profile?
What are new growth drivers/initiatives?
Are there new markets, products, or business lines emerging?
What is total addressable market (TAM) expansion potential?

Search Strategy:

Search for "[Company] growth strategy new products"
Search for "[Company] expansion plans"
Search for "[Company] TAM total addressable market"

Evaluation Criteria:

Organic vs. inorganic growth
New product/service pipeline
Market expansion opportunities (geographic, vertical)
Scalability of growth drivers

Show full SKILL.md (707 more words)Show less

6. Historical & Projected Financials / 历史与预测财务

Core Questions:

Revenue and profit growth over past 5 years (CAGR)
What drives the historical growth?
Consensus forecast for next 2-5 years?
Key assumptions underlying projections?

Search Strategy:

Search for "[Company] revenue profit historical data"
Search for "[Company] analyst estimates forecast"
Access latest earnings transcripts and guidance

Analysis Components:

Calculate 5-year revenue CAGR
Calculate 5-year profit (net income/EBITDA) CAGR
Analyze margin trends
Review consensus estimates and evaluate reasonableness
Create base/bull/bear case scenarios

7. International Exposure / 海外业务与地缘风险

Core Questions:

What percentage of revenue comes from overseas?
Which countries/regions are primary international markets?
What are international growth trends?
What are geopolitical or currency risks?

Search Strategy:

Search for "[Company] geographic revenue breakdown"
Search for "[Company] international expansion"
Review segment reporting in annual reports

Key Considerations:

Revenue by geography (domestic vs. international split)
Exposure to high-growth emerging markets
Currency hedging strategies
Regulatory and geopolitical risks

8. Ownership & Governance / 股权结构与公司治理

Core Questions:

Who is the founder/CEO? What is their background?
What is the ownership structure (founder/management/institutional/public)?
Are there any significant insider transactions?
What is the board composition and quality?

Search Strategy:

Search for "[Company] founder CEO background"
Search for "[Company] ownership structure institutional holders"
Search for "[Company] insider transactions recent"

Governance Assessment:

Founder/management ownership alignment
Track record of leadership team
Board independence and expertise
Corporate governance ratings

9. Valuation Analysis / 估值分析

Core Questions:

Current market capitalization?
Current P/E ratio and comparison to historical averages?
How does valuation compare to peers?
Is the stock trading within a margin of safety?
What is the projected market cap in 2 years based on growth assumptions?

Search Strategy:

Search for "[Company] stock price market cap"
Search for "[Company] PE ratio valuation multiples"
Search for "[Industry] average PE ratio"

Valuation Framework:

Current market cap
P/E, P/S, P/B, EV/EBITDA multiples
Compare to 5-year historical average
Compare to peer group median
Calculate intrinsic value range (DCF if appropriate)
Determine margin of safety (typically seek 20-30% discount)
Project forward market cap using growth and multiple assumptions

10. Investment Recommendation / 投资结论

Synthesize all analysis into clear recommendation:

If Investment is Recommended:

Primary thesis (2-3 key reasons)
Supporting evidence from analysis above
Expected return and timeframe
Key risks and mitigation factors
Position sizing recommendation

If Investment is NOT Recommended:

Primary concerns (2-3 key reasons)
Supporting evidence from analysis
What would need to change for positive view
Alternative opportunities in the sector

Output Structure / 推荐输出结构

Present findings in a clear, structured format:

markdown

# 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。

Research Best Practices / 研究最佳实践

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.

Integrations: Fetching Filings & Financial Data / 集成：自动拉取财报与数据

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。

Example: US-listed companies (e.g., SEC + financial APIs)

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:

bash

# 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:
bash
```
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:

text

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）。

Tool Usage Hints / 工具使用提示

web_search: Primary tool for gathering company information, financial data, and market intelligence.
web_fetch: Retrieve full annual reports, investor presentations, and detailed articles for deeper reading.
Use this skill mainly as a thinking & structuring framework – pair it with data sources (e.g., financial APIs, filings) for best results.

Files

SKILL.md and 4 other files (references) in skills/company-investment-research of aAAaqwq/AGI-Super-Team.

SKILL.md
.clawhub/origin.json
_meta.json
references/analysis-framework.md
references/report-template.md

Open the folder on GitHubat commit 7cefd81

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aAAaqwq/AGI-Super-Team, which our catalogue first saw on October 7, 2026.

LeoYeAI/openclaw-master-skillsskills/company-investment-research

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Company Investment Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Questions about Company Investment Research

What does Company Investment Research do?

Structured, multi-dimensional company investment research framework for AI agents and human analysts. Company Investment Research is an agent skill from aAAaqwq/AGI-Super-Team. Structured, multi-dimensional company investment research framework for AI agents and human analysts.

When should I use Company Investment Research?

Company Investment Research fits situations like: business, Finance & HR work in your project.

How do I install Company Investment Research in Claude Code?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a claude-code`. Or copy the skill folder (skills/company-investment-research in aAAaqwq/AGI-Super-Team) into .claude/skills/company-investment-research in your project. Claude Code loads it when a task matches its description.

How do I install Company Investment Research in Codex?

Run `npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a codex`. Or copy the skill folder (skills/company-investment-research in aAAaqwq/AGI-Super-Team) into .agents/skills/company-investment-research in your project. Codex loads it when a task matches its description.

Can I use Company Investment Research in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aAAaqwq/AGI-Super-Team --skill company-investment-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/company-investment-research, .gemini/skills/company-investment-research, .github/skills/company-investment-research and .opencode/skills/company-investment-research in your project.

What does Company Investment Research need to run?

Going by SKILL.md and its folder, Company Investment Research needs the command-line tools its instructions call (python).

Does Company Investment Research access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Company Investment Research safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Company Investment Research use?

Company Investment Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Company Investment Research use?

About 4k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.

What are the alternatives to Company Investment Research?

Skills that share tags, products or a category with Company Investment Research: Portfolio Optimization (NVIDIA/skills, 3.6k stars), Kernel Profiling (ZJLi2013/awesome-kernel-skills, 102 stars), Tao Run Deft Pas (NVIDIA/skills, 3.6k stars) and Deepstream Sop (NVIDIA/skills, 3.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Company Investment Research?

aAAaqwq (a GitHub user) maintains it in aAAaqwq/AGI-Super-Team, which has 105 GitHub stars. The repository holds 167 skills in this directory. The repository was last updated on October 8, 2026.

Source: aAAaqwq/AGI-Super-Team on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Company Investment Research

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Company Investment Research / 公司投资研究框架

When to Use / 适用场景

Quick Usage Examples / 快速使用示例

1. Single-company deep dive / 单公司深度研究

2. Compare two companies in the same sector / 同行业公司对比

3. Rapid pre-screening / 快速预筛选

4. Memo generation for internal discussion / 生成内部讨论用 Memo

Industry Templates / 行业模板示例

A. Internet Platforms (Consumer Internet) / 互联网平台

B. Semiconductors / 半导体

C. Chain Coffee & Food Service / 连锁咖啡与餐饮服务

Research Framework / 研究框架

1. Competitive Positioning Analysis / 竞争优势与护城河

2. Technology & Innovation Assessment / 技术与研发能力

3. Market Position & Competition / 市场份额与竞争格局

4. Customer Analysis / 客户结构与集中度

5. Growth Trajectory & New Opportunities / 成长路径与新机会

6. Historical & Projected Financials / 历史与预测财务

7. International Exposure / 海外业务与地缘风险

8. Ownership & Governance / 股权结构与公司治理

9. Valuation Analysis / 估值分析

10. Investment Recommendation / 投资结论

Output Structure / 推荐输出结构

Research Best Practices / 研究最佳实践

Integrations: Fetching Filings & Financial Data / 集成：自动拉取财报与数据

Example: US-listed companies (e.g., SEC + financial APIs)

Tool Usage Hints / 工具使用提示

Files

Used in 1 other repository

Compare with similar skills

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Related

Questions about Company Investment Research