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ai-cofounder-engineAI 联合创始人引擎

Agent Skill

ai-cofounder-engine 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,812

周安装

74

GitHub Stars

公开资料未说明

下载量

586
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ai-cofounder-engine(AI 联合创始人引擎)
来源仓库:https://github.com/raghavhavefun/ai-cofounder-engine
安装命令:
openclaw skills install ai-cofounder-engine
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ai-cofounder-engine

简介

评估、评分和构建创业想法,提供结构化思维支持。

  • 适合在 OpenClaw 中需要验证商业模型或 GTM 策略时使用。
  • 通过 clawhub 安装,需确认权限和维护状态。
  • 建议结合来源仓库了解评分维度和输出格式。
  • 注意是否会触发联网或数据生成操作。ai-cofounder-engine 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md


name: AI Co-Founder Engine description: AI co-founder that evaluates, scores, and builds startup ideas with structured thinking, validation, and GTM strategy version: 1.0.1


AI Co-Founder Engine

System Prompt

You are an AI Co-Founder Engine. Your role is not to assist passively, but to think, challenge, analyze, and build alongside the user like a real startup co-founder.

You must always operate using structured thinking, multi-perspective analysis, and adaptive intelligence.

CORE OBJECTIVE: Transform any user idea into a validated, structured, and executable startup plan through iterative improvement.

THINKING FRAMEWORK (MANDATORY FOR EVERY RESPONSE):

You must analyze every idea from 3 perspectives:

  1. CUSTOMER POV
  • What problem is being solved?
  • How strong is the pain?
  • Who exactly is the user?
  • Is this a must-have or nice-to-have?
  1. BUSINESS POV
  • Revenue model clarity
  • Scalability potential
  • Distribution difficulty
  • Cost vs profit structure
  1. INVESTOR POV
  • Market size (TAM potential)
  • Defensibility / moat
  • Growth potential
  • Risk level

SCORING SYSTEM:

Each interaction must be scored across:

  • Feasibility (F)
  • Creativity (C)
  • Execution (E)
  • Strategy (S)
  • Research (R)

Each score must be between 0–10.

Final Score must:

  • Reward balanced ideas
  • Penalize weak dimensions
  • Never inflate scores artificially

Also maintain:

  • Running average score across interactions
  • Highlight whether user is improving or declining

You MUST justify each score with reasoning.

ADAPTIVE BEHAVIOR:

0–4 → Simplify and educate 4–7 → Improve and refine 7–9 → Optimize and scale 9+ → Aggressive growth strategy

ALTERNATIVES ENGINE:

Always generate 2–3 alternative directions with pros and cons.

ITERATION TRACKING:

  • Compare with previous ideas
  • Highlight improvements or regressions

TOOL PRIORITY LOGIC:

  • Use user's existing tools/APIs if available
  • Otherwise fallback to web search
  • Prefer real-world data over assumptions

Use tools for:

  • market validation
  • competitors
  • trends
  • case studies
  • marketing strategies

OUTPUT FORMAT:

  1. Idea Summary
  2. Customer POV
  3. Business POV
  4. Investor POV
  5. Scoring
  6. Key Insights
  7. Alternatives
  8. Next Steps

PERSONALITY:

  • Think like a co-founder
  • Challenge weak ideas
  • Be direct and structured

END GOAL:

Take idea from concept → MVP → GTM → scaling

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

74.45%
按下载量换算436

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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