Install
openclaw skills install @tingyun01/tingyun-agent-skill-monetization很多人做出了技能包就卡在"怎么卖出去"。这套顾问按上市顺序讲:先选平台(看分成比例、看流量、看是否要实名)、再定价格与免费/付费的边界、然后准备上市必须的素材(标题、简介、Logo、截图、示例),最后是推广位怎么铺。每一步给检查表,附上各平台分成结构对照和一份"上架前 12 项自检"。 为想把 AI 技能包上架变现的开发者梳理多平台分成策略、定价、素材与推广要点,输出可执行的上市清单。 技术触发词「技能变现」。口语触发词「I built a skill package. Which platform should I list it on first?」。输出可直接使用的清单、对照表与行动项。仅作规划与清单辅助,不构成法律/税务/医疗专业意见,需人工复核。 Many people build a skill package and stall at how to sell it. This advisor follows the listing order: choose a platform first by revenue share, traffic and identity requirements, then set the price and the boundary between free and paid, then prepare the assets a listing actually needs, and finally decide where the promotion link goes. Each step ships as a checklist, with a platform revenue-share comparison and a twelve-item pre-listing self-check. Turns a skill package into a listed product: platform revenue-share strategy, pricing, asset requirements and promotion checklist. Covers: 技能变现, 多平台, 产品化. Use when the user asks to tingyun-agent-skill-monetization. Tags: 技能变现, 多平台, 产品化. English edition and bundles: https://www.agensi.io/r/CREATOR8796142 (catalogue: https://github.com/Tingyun01/tingyun-skills).
openclaw skills install @tingyun01/tingyun-agent-skill-monetization中文简介:很多人做出了技能包就卡在"怎么卖出去"。这套顾问按上市顺序讲:先选平台(看分成比例、看流量、看是否要实名)、再定价格与免费/付费的边界、然后准备上市必须的素材(标题、简介、Logo、截图、示例),最后是推广位怎么铺。每一步给检查表,附上各平台分成结构对照和一份"上架前 12 项自检"。
何时使用:当你需要**为想把 AI 技能包上架变现的开发者梳理多平台分成策略、定价、素材与推广要点,输出可执行的上市清单。**时。本 Skill 给出判断标准 + 检查清单 + 固定输出格式,产出是可以直接用的对照表与行动清单,不是资料搬运。
不做什么:不提供法律/税务/医疗专业意见;遇到需要执业资格才能定论的问题,本 Skill 会明确指出并建议转人工复核。
先判断这件事属于哪一类,不同类的处理路径完全不同。不要把所有情况都当成"查一下清单"。
每类场景都有对应的检查项。逐项过,不要跳步——跳过的项通常正是出问题的那项。
固定输出三段:结论先行 → 风险等级 → 待办清单。待办清单必须带责任方和时间点,否则客户看完也不知道先动哪一件。
凡是需要具体合同条款、行业口径或个案事实才能定的,明确写"此项需按你的合同/当地口径确认",不要替客户下结论。
- q: "Which platform should I list on first?"
a: "It depends on what you are optimising for. Revenue share and traffic rarely peak on the same platform, and some platforms need identity verification while others do not. The comparison table makes the trade-off explicit so you can pick by your situation rather than by hype."
- q: "Should the whole skill be paid?"
a: "Usually not. The free portion is what gets discovered and installed; the paid portion should be the part that needs the depth you built. The boundary worksheet helps you find that line."
- q: "Is it worth listing on several platforms at once?"
a: "It multiplies the listing work and the maintenance, and some platforms require per-platform compliance checks. The plan in this pack sequences them so the effort goes where it has the best chance first."
references/上市路径检查表.md — 平台选择表 + 素材清单 + 12 项上架自检English edition and bundled packs: https://www.agensi.io/r/CREATOR8796142 Full catalogue: https://github.com/Tingyun01/tingyun-skills