How do I install the Deep Company Analysis skill?

Run npx skillmds@latest add desmondc9/deep-company-analysis in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Deep Company Analysis safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Deep Company Analysis?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Deep Company Analysis free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Deep Company Analysis?

desmondc9 (@desmondc9) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Deep Company Analysis by desmondc9 — Agent Skill

Name: Deep Company Analysis
Author: desmondc9

Deep Company Analysis

Generate a structured deep-dive research report on any company, stock, or crypto project from both growth and value investing perspectives. Use when the user asks to '深度分析', '调研', 'research', 'analyze' a specific company, stock, or token — or mentions evaluating an investment target with a comprehensive framework. Triggers include: '分析XX公司', '调研XX股票', '深度研究', '公司基本面分析', '企业调研报告', 'crypto project analysis'. Do NOT use for simple price checks, real-time trading signals, portfolio optimization, or tax advice.

desmondc9 6fcef2a 2 files · 16.9 KB Updated Sep 17, 2026

File contents

深度企业分析 (Deep Company Analysis)

Quick start

Ask the user for the target company name / stock ticker / token symbol (if not already provided).
Read REFERENCE.md — this is the full 8-dimension analysis framework.
Perform web research to gather quantitative data (financials, market share, on-chain metrics, etc.).
Generate the report in Simplified Chinese strictly following the output order and format in REFERENCE.md.
Output the complete report directly to the user (no intermediate files required unless requested).

Workflow

Step 1 — Identify target

Resolve company name, ticker, or token symbol.
Determine asset type: public stock / private company / crypto/Web3 project.
Note the founding date (to determine available historical data range).

Step 2 — Research & fill framework

Use WebSearch/WebFetch to gather data for each dimension in REFERENCE.md.
For every quantitative claim, annotate the source (财报/招股书/第三方机构/链上数据/行业白皮书).
Mark speculative content with 【推测】.
If a dimension is not applicable (e.g., a crypto project has no "debt-to-asset ratio"), explicitly label it: 【不适用】原因：...

Step 3 — Generate report

Output order is mandatory: Executive Summary → Dimensions 1–7 → Crypto Appendix (if applicable).
Use ### headers for each sub-dimension.
Present time-series quantitative data in tables.
After each main dimension, append a 200-word "维度核心摘要".
End with a "综合观察清单" of 5–8 trackable indicators/events for the next 12 months.

Step 4 — Compliance check

Verify: no "买入/卖出/持有" recommendations appear.
Verify: all currency values are explicitly labeled (USD / CNY / HKD / etc.).
Verify: competitive benchmarks (vs peers and industry median) are included for key metrics.
Verify: 3-year, 5-year, and 10-year time spans are covered (or noted if insufficient history).

Key rules

Language: Simplified Chinese throughout. English proper nouns, tickers, and metric abbreviations (PE, PB, ROE, FCF, etc.) may remain in original form.
No investment advice: Only facts, logic, and evidence. No price targets or action recommendations.
Progressive disclosure: If the user only wants a specific dimension, read REFERENCE.md and extract only that section while keeping cross-references intact.

Reference

Full framework: REFERENCE.md

---name: deep-company-analysisdescription: Generate a structured deep-dive research report on any company, stock, or crypto project from both growth and value investing perspectives. Use when the user asks to '深度分析', '调研', 'research', 'analyze' a specific company, stock, or token — or mentions evaluating an investment target with a comprehensive framework. Triggers include: '分析XX公司', '调研XX股票', '深度研究', '公司基本面分析', '企业调研报告', 'crypto project analysis'. Do NOT use for simple price checks, real-time trading signals, portfolio optimization, or tax advice.---# 深度企业分析 (Deep Company Analysis)## Quick start1. Ask the user for the **target company name / stock ticker / token symbol** (if not already provided).2. Read `REFERENCE.md` — this is the full 8-dimension analysis framework.3. Perform web research to gather quantitative data (financials, market share, on-chain metrics, etc.).4. Generate the report in **Simplified Chinese** strictly following the output order and format in REFERENCE.md.5. Output the complete report directly to the user (no intermediate files required unless requested).## Workflow### Step 1 — Identify target- Resolve company name, ticker, or token symbol.- Determine asset type: **public stock** / **private company** / **crypto/Web3 project**.- Note the founding date (to determine available historical data range).### Step 2 — Research & fill framework- Use WebSearch/WebFetch to gather data for each dimension in REFERENCE.md.- For every quantitative claim, annotate the source (财报/招股书/第三方机构/链上数据/行业白皮书).- Mark speculative content with 【推测】.- If a dimension is not applicable (e.g., a crypto project has no "debt-to-asset ratio"), explicitly label it: 【不适用】原因：...### Step 3 — Generate report- Output order is **mandatory**: Executive Summary → Dimensions 1–7 → Crypto Appendix (if applicable).- Use `###` headers for each sub-dimension.- Present time-series quantitative data in **tables**.- After each main dimension, append a 200-word "维度核心摘要".- End with a "综合观察清单" of 5–8 trackable indicators/events for the next 12 months.### Step 4 — Compliance check- Verify: no "买入/卖出/持有" recommendations appear.- Verify: all currency values are explicitly labeled (USD / CNY / HKD / etc.).- Verify: competitive benchmarks (vs peers and industry median) are included for key metrics.- Verify: 3-year, 5-year, and 10-year time spans are covered (or noted if insufficient history).## Key rules- **Language**: Simplified Chinese throughout. English proper nouns, tickers, and metric abbreviations (PE, PB, ROE, FCF, etc.) may remain in original form.- **No investment advice**: Only facts, logic, and evidence. No price targets or action recommendations.- **Progressive disclosure**: If the user only wants a specific dimension, read REFERENCE.md and extract only that section while keeping cross-references intact.## Reference- Full framework: [REFERENCE.md](REFERENCE.md)

Frequently asked questions