market-research — for Claude Code market-research, ai_research, community, for Claude Code, ide skills, $ARGUMENTS, ## Rules - Always load, Market, Research, ARGUMENTS

v1.0.0

关于此技能

适用场景: Ideal for AI agents that need market research skill. 本地化技能摘要: # Market Research Skill Research: $ARGUMENTS Process Define the Question What decision will this research inform? This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Market Research Skill
Research: $ARGUMENTS
Define the Question
What decision will this research inform?
What would change our mind? (define upfront)

# 核心主题

mahmudulhaquequdrati mahmudulhaquequdrati
[0]
[0]
更新于: 3/27/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 10/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review
Review Score
10/11
Quality Score
58
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need market research skill. 本地化技能摘要: # Market Research Skill Research: $ARGUMENTS Process Define the Question What decision will this research inform? This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: market-research helps agents market research skill. Market Research Skill Research: $ARGUMENTS Process Define the Question What decision will this research inform? This AI agent skill supports Claude Code

适用 Agent 类型

适用场景: Ideal for AI agents that need market research skill.

赋予的主要能力 · market-research

适用任务: Applying Market Research Skill
适用任务: Applying Research: $ARGUMENTS
适用任务: Applying Define the Question

! 使用限制与门槛

  • 限制说明: Requires repository-specific context from the skill documentation
  • 限制说明: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

market-research 是什么?

适用场景: Ideal for AI agents that need market research skill. 本地化技能摘要: # Market Research Skill Research: $ARGUMENTS Process Define the Question What decision will this research inform? This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 market-research?

运行命令:npx killer-skills add mahmudulhaquequdrati/ai_research/market-research。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

market-research 适用于哪些场景?

典型场景包括:适用任务: Applying Market Research Skill、适用任务: Applying Research: $ARGUMENTS、适用任务: Applying Define the Question。

market-research 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

market-research 有哪些限制?

限制说明: Requires repository-specific context from the skill documentation;限制说明: Works best when the underlying tools and dependencies are already configured。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add mahmudulhaquequdrati/ai_research/market-research。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    market-research 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

market-research

# Market Research Skill Research: $ARGUMENTS Process Define the Question What decision will this research inform? This AI agent skill supports Claude Code

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Market Research Skill

Research: $ARGUMENTS

Process

1. Define the Question

  • What decision will this research inform?
  • What would change our mind? (define upfront)
  • What's the deadline?

2. Market Sizing

  • TAM — Total addressable market (everyone who could buy)
  • SAM — Serviceable addressable market (those we can reach)
  • SOM — Serviceable obtainable market (realistic 1-2 year capture)
  • Back each number with methodology and sources

3. Competitive Landscape

For each competitor (see reference.md for template):

  • What they offer
  • Pricing model
  • Strengths / Weaknesses
  • Market share (if available)
  • Our differentiation opportunity

4. Customer Analysis

  • Ideal customer profile (ICP)
  • Current pain points
  • How they solve it today
  • What would make them switch
  • Budget range

5. Trend Analysis

  • What's growing in this space?
  • Technology shifts
  • Regulatory changes
  • 2-year outlook

6. Opportunity Score

Rate 1-10 on:

  • Market attractiveness
  • Competitive intensity (lower = better for us)
  • Our fit/advantage

Go / No-Go / Investigate Further recommendation with reasoning.

Output Format

markdown
1## Market Research: [Topic] 2 3### Executive Summary 4[3 sentences: opportunity, size, recommendation] 5 6### Market Size 7TAM: $X | SAM: $X | SOM: $X 8 9### Top Competitors 10| Name | Offering | Pricing | Our Advantage | 11|------|---------|---------|---------------| 12 13### Customer Profile 14[ICP description] 15 16### Opportunity Score: X/10 17### Recommendation: [Go / No-Go / Investigate] 18### Confidence: [High / Medium / Low]

Rules

  • Always load .claude/memory/business_model.md for own-business context
  • Never present speculation as fact — always state confidence level
  • Never skip cross-validation of claims
  • Never confuse TAM with SOM
  • Never ignore indirect competitors
  • Always cite sources for key claims

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