调研合作伙伴,生成 LLM 生态合作所需的 GTM 和合作方案
npx skills add https://github.com/cafe3310/public-agent-skills --skill deep-research-partnership-planner
本技能采用“研究驱动 + 人机协作 (Human-in-the-loop)”的工作流,将合作策略的制定分为前期的深度调研指引、人工建议的注入,以及后期的商业与宣传方案生成。
行为准则:
在执行此技能时,你可能会调用或提示用户使用以下技能:
/skill::plugin-search-and-use (特别是 Marketing / Sales / Engineering 相关的插件)作为使用者的我,通常会给你以下几类输入来启动或推进工作流:
这个工作流分为五个阶段,你需要引导用户逐步完成,或者根据用户提供的信息直接执行对应的阶段。
触发时机:用户提出想要调研某个目标公司或产品生态。
动作:
/skill::plugin-search-and-use 中相关的市场/研究插件能力,基于用户提供的己方背景,发散思考并初步梳理探索方向。触发时机:你在 Phase 1 输出了调研提示词。
动作:
等待用户将这份提示词输入外部 Deep Research 工具,并提示用户将最终的“深度调研报告”保存为本地文件或直接在对话中发给你。
触发时机:用户提供了深度调研结果。
动作:
触发时机:你已经充分掌握了“深度调研报告”与“人工建议”。
动作:
/skill::plugin-search-and-use 技能,检索市场合作与生态技术合作的能力。[YYYY-MM-DD]_[目标名称]_商业合作规划.md:梳理双方资源匹配逻辑,记录头脑风暴产生的所有潜在合作点,并挑选出务实的落地项目排期。[YYYY-MM-DD]_[目标名称]_Day-Zero早期预热方案.md:在正式商务谈判前或合作初期的低成本预热动作。[YYYY-MM-DD]_[目标名称]_宣传素材与执行清单.md:将方案拆分为可直接分配的、具体的任务清单。触发时机:Phase 4 规划已得到用户认可,需要归档。
动作:
[YYYY-MM-DD]_[目标名称]_生态合作规划方案.md。在执行 Phase 4 时,请应用以下被验证的抽象商业逻辑,不要生搬硬套历史案例,而是将其作为思维导图,针对当前调研对象进行实例化:
设计具体的合作项目时,请从以下维度发散(挑选最合适的 3-4 个):
提供具体、务实、面向开发者的物料清单:
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Take cafe3310/deep-research-partnership-planner from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.