产品发布 (Product Launch)
概述
产品发布的核心原则:充分准备、制造期待、爆发发布、持续跟进。
发布流程
预发布:
- 内容预热
- 样品测试
- 期待营造
发布期:
- 多平台发布
- KOL合作
- 促销活动
发布后:
- 收集反馈
- 快速迭代
- 持续推广
关键要素
- 发布时间
- 内容准备
- 渠道选择
- 库存准备
常见错误
| 错误 | 后果 | 正确做法 |
|---|---|---|
| 准备不足 | 错失良机 | 充分准备 |
最后提醒:产品发布不只是把产品放出来,而是精心策划的营销活动。充分准备,才能引爆市场。
Use when launching new products, coordinating go-to-market strategies, and maximizing initial sales momentum
| Publisher | vivy-yi |
| Repository | xiaohongshu-skills |
| Skill name | product-launch |
| Stars | 502 |
| Forks | 76 |
| Bundled files | Instructions only |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Everything the model needs lives in the instructions — no extra files to sync.
Published by vivy-yi on GitHub. Read the source before you install it.
Install the Product Launch AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/04-电商转化/product-launchEnable Product Launch in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.
AI skills are plain Markdown instructions rather than provider-specific code, so Product Launch is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
产品发布的核心原则:充分准备、制造期待、爆发发布、持续跟进。
预发布:
发布期:
发布后:
| 错误 | 后果 | 正确做法 |
|---|---|---|
| 准备不足 | 错失良机 | 充分准备 |
最后提醒:产品发布不只是把产品放出来,而是精心策划的营销活动。充分准备,才能引爆市场。
Use when launching new products, coordinating go-to-market strategies, and maximizing initial sales momentum
Because you install it once and use it with any model. Product Launch is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vivy-yi/xiaohongshu-skills/tree/main/skills/04-电商转化/product-launch. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.
As many as you like. As long as a model supports skills, you can use Product Launch with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
It is published on GitHub by vivy-yi. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.
An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.
A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.
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