AgentSkillsCN

skill-product-strategic-analysis

开展市场调研（TAM/SAM/SOM）与竞争分析的指导方针。

SKILL.md
--- frontmatter
name: skill-product-strategic-analysis
description: "Guidelines for conducting Market Research (TAM/SAM/SOM) and Competitive Analysis."
tier: 2
version: 1.0

Strategic Analysis

1. Objective

To provide data-backed justification for why a product should exist. This skill powers the Strategic Analyst (p01) agent.

2. Market Sizing (The Numbers)

You MUST use the TAM/SAM/SOM model.

Definitions

  1. •TAM (Total Addressable Market):
    • •Formula: Total Potential Customers x Average Annual Revenue per Customer.
    • •Scope: Global, Theoretical maximum.
  2. •SAM (Serviceable Available Market):
    • •Formula: Segment % of TAM that fits your geographical/technological reach.
    • •Scope: Realistic reach within 3-5 years.
  3. •SOM (Serviceable Obtainable Market):
    • •Formula: SAM x Target Market Share (usually 1-5% for startups).
    • •Scope: Year 1 target.

Citation Rule

[!IMPORTANT] No Hallucinations. If real data is unavailable, you MUST explicitly state: "Based on Conservative Estimate 2026 guidelines" and explain your logic (e.g., "Assumed 10% of developers use VS Code...").

3. Competitive Matrix

Use the following Markdown table structure to identify the "Blue Ocean":

markdown
| Competitor | Key Feature | Pricing Model | Weakness (The Gap) |
|------------|-------------|---------------|--------------------|
| Comp A     | ...         | ...           | ...                |
| Comp B     | ...         | ...           | ...                |
| **US**     | **...**     | **...**       | **N/A**            |

4. Verification Check

  • • Is TAM > $1B? (If not, is it a niche lifestyle business?)
  • • Is SAM < TAM? (If SAM > TAM, your math is broken).
  • • Is SOM < SAM? (If SOM = SAM, you are overly optimistic).
  • • Is the "Gap" defensible? (Technology vs Marketing)
  • • Are all numbers cited or estimated with disclaimers?

5. Output

Use the Official Template for the full structure.

6. Examples

  • •Strong Case (Go): examples/01_strong_ai_assistant.md
  • •Weak Case (No-Go): examples/02_nogo_vertical_video.md