天龙需求分析专家

v1.0.0

基于天龙引擎,提供需求本质挖掘、复杂度评估和结构化分析报告,助力产品和决策高效落地。

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Purpose & Capability
Name and description (requirements analysis, complexity assessment) align with the SKILL.md content. The skill does not request unrelated binaries, credentials, or config paths.
Instruction Scope
SKILL.md contains prompt instructions and a defined output format for analysis; it does not instruct the agent to read files, access environment variables, or contact external endpoints. Note: the doc references a "天龙引擎 V7.4" and a high "批判性思维评分", but there is no implementation—this appears to be branding/metadata rather than hidden functionality.
Install Mechanism
No install spec and no code files are present, so nothing is written to disk or downloaded during install. This is the lowest-risk install profile.
Credentials
The skill requires no environment variables, credentials, or config paths—proportional and minimal for an instruction-only analysis template.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges. It does not modify other skills or system configs.
Assessment
This skill is an instruction-only template for performing requirements analysis and appears internally consistent. It does not request secrets or install code, but it will see any text you send it—do not paste passwords, API keys, or other sensitive data into prompts. Also note that the SKILL.md is a prompt/design spec (branding like "天龙引擎 V7.4" is not an executable component); verify outputs independently before acting on critical decisions.

Like a lobster shell, security has layers — review code before you run it.

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v1.0.0
MIT-0

tianlong-analyst - 天龙需求分析专家

天龙引擎 V7.4 核心能力产品化 | 批判性思维评分:0.96


🎯 功能描述

基于天龙引擎 00 分析师的需求解构能力,帮助用户:

  • 挖掘需求本质与问题根因
  • 识别复杂度/类型/优先级
  • 输出结构化分析报告

🔧 使用方式

# 基础用法
/tianlong-analyst <需求描述>

# 示例
/tianlong-analyst 我想做一个 AI 写作助手

📋 输出格式

1. 需求解构

  • 表面需求 vs 真实需求
  • 用户画像分析
  • 使用场景识别

2. 复杂度评估

级别判断标准执行方式
🟢 绿灯简单、明确、低风险直接执行
🟡 黄灯中等复杂、多方案给 2-3 方案
🔴 红灯高风险、高成本、战略详细方案 + 决策

3. 批判性思维质疑

  • 第一性原理分析
  • 激励分析
  • 二阶思维推演
  • 非对称回报评估

4. 行动建议

  • 立即执行项
  • 需要决策项
  • 风险预警项

💡 应用场景

  1. 产品需求分析 - 创业想法验证
  2. 技术选型评估 - 架构决策支持
  3. 项目可行性分析 - 接单前评估
  4. 个人决策辅助 - 职业/投资选择

🏷️ 元数据

{
  "name": "tianlong-analyst",
  "version": "1.0.0",
  "author": "李依依(一一)",
  "license": "MIT",
  "tags": ["需求分析", "批判性思维", "决策辅助"],
  "pricing": {
    "type": "free",
    "reason": "引流技能,建立用户信任"
  }
}

📚 示例

示例 1:产品需求分析

用户输入:我想做一个 AI 写作助手

输出:
🎯 需求解构
- 表面需求:AI 写作工具
- 真实需求:提高内容创作效率 + 降低写作门槛
- 目标用户:自媒体从业者/营销人员/学生

🟡 复杂度:黄灯(中等复杂)
- 技术可行性:高(现有 API 充足)
- 市场竞争:激烈(已有竞品)
- 差异化机会:垂直领域深耕

🎭 批判性质疑
- 第一性原理:写作的本质是表达,AI 是辅助而非替代
- 激励分析:用户愿为"省时间"付费,而非"更聪明"
- 非对称回报:投入 3 个月验证,成功收益 10 倍+

✅ 行动建议
1. 先做 MVP(1 周)验证核心功能
2. 找 10 个目标用户深度访谈
3. 暂不投入重资源开发

创建时间: 2026 年 3 月 6 日
状态: 🚧 开发中

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