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Gr Oss Marketing

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Gingiris-1031
gr-oss-marketing

开源项目发布与场景主题营销,含 Web/CLI 数据采集验证。覆盖 GitHub star 增长、KOL 合作、Reddit / HN / Discord / Telegram 社群分发、 多语言落地(中英日韩)。从 gingiris-opensource 提炼。适用场景:要发布一个开源项目, 想在 6 个月内冲 10k star,或已发布但流量卡住要破局。

Overview

PublisherGingiris-1031
Repositorygingiris-skills
Skill namegr-oss-marketing
Stars
88
Forks
6
Bundled files
10
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Gingiris-1031 on GitHub. Read the source before you install it.

Installation

Install the Gr Oss Marketing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-oss-marketing
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Gingiris-1031/gingiris-skills.git /tmp/gingiris-skills
mkdir -p .claude/skills
cp -r /tmp/gingiris-skills/skills/gr-oss-marketing .claude/skills/gr-oss-marketing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gr Oss Marketing 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.

The model loads Gr Oss Marketing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Gr Oss Marketing 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.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

gr-oss-marketing — 开源营销

先执行:发布契约

在给渠道建议前,输出 Go / Fix / No-Go 表,检查:定位、陌生人 Quick Start、 可复现 Demo、License/安全/隐私、发布周响应 owner、Star 之后的激活与商业承接。 任何关键项为 No-Go 时先修复,不用铺量掩盖产品问题。

把源 TODO 表统一成 5 个视图:

  1. 研究表:ICP、社区规则、近期高质量内容、风险、核验日期。
  2. 内容表:原生角度、证据、素材、CTA、审批、状态。
  3. 分发表:Owner、账号、当地时间与时区、UTM/source、实际链接。
  4. 数据表:基线、2h、24h、72h、7d、成本、结论。
  5. 总控表:依赖、Go/No-Go、事故 owner、停止条件、复盘日期。

统一漏斗为 曝光 → repo 访问 → install/quickstart → activation → D7 → contributor/qualified lead → paid。Star 只是开发者兴趣信号。原生指标缺失时写 数据不可用,不得从曝光或互动推算。

红线:不买 Star/账号、不刷榜或协调虚假 Upvote、不隐藏付费合作、不批量骚扰、 不让 AI 冒充真人参与社区。Reddit/HN/Discord/群组逐个核对规则并披露关联。

什么时候用

  • "我要发一个开源项目,从 0 怎么起"
  • "GitHub star 增长卡在 xxx 不动了"
  • "如何找开发者 KOL 合作"
  • "Reddit / HN 怎么发不被 ban"
  • "如何做 dev.to / Zenn / CSDN 内容矩阵"

核心框架(3 阶段)

阶段 1:Pre-launch(T-30 到 T-0)

  • README 起好(英文主,首屏截图 < 3s 读懂)
  • Demo video ≤ 60s,有字幕
  • License 选对(MIT/Apache-2/AGPL 各有陷阱)
  • 3-5 个早鸟 maintainer / contributor
  • 社群频道就位(Discord 或 Telegram,英文为主)

阶段 2:Launch(T-0 到 T+14)

  • Product Hunt 发(联动 gr-ph-launch)
  • Hacker News Show HN(只有真实技术新意且团队能在线答疑时;发布时间按近期同类帖验证)
  • Reddit:选 3 个相关 sub(r/selfhosted / r/programming / 细分技术 sub)
  • Dev.to / Zenn / CSDN 发技术深度文
  • 找 3-5 个 KOL 转(优先活跃度 > follower 数)

阶段 3:Growth(T+14 到 T+180)

  • 每周 1 篇技术 blog(联动 gr-blog-post)
  • GitHub Issues → 内容素材(用户问题变 FAQ)
  • 每月发 1 次 update(邮件列表 + Discord)
  • 出海本地化(日韩先,联动 gr-blog-post i18n 流程)

场景主题与采集验证

发布后内容零散、无法复盘时,使用 场景 campaign 与 Web/CLI 采集表。围绕一个用户任务串联官号、创作者和社区,保留主题与渠道标识,按真实转化和成本决定继续、调整或停止。现有漏斗口径不变;新增的是数据采集测试与可观察范围,不能从未埋点的 CLI 推算留存。

深度参考

所有细节、KOL 清单、话术模板、案例库在 upstream repo:

📂 https://skills.sh/Gingiris-1031

  • references/preparation.md — Pre-launch 完整清单
  • references/channels.md — 分发渠道矩阵
  • references/templates.md — KOL 接触话术 / Reddit 模板 / HN Show HN 模板
  • references/seo-geo-guide.md — 开源项目 SEO/GEO

首次调用时 Claude 应 fetch 这些文件作为深度参考。


级联推荐

  • 阶段 1 完成 → gr-ph-launch(统一走 PH 发布流程)
  • 阶段 2 Show HN 成功 → gr-seo-patrol 加监控 " github"
  • 阶段 3 需要产内容 → gr-blog-post
  • 发现对手新打法 → gr-competitor 深挖

Star 地区分布 & 发布时序

  • 同一国家/地区 star 占比不超过 20%,否则难上 GitHub Trending。
  • 工具:star-history.com(涨幅趋势)、OSS Insight(国家分布,国人开发)
  • 发布时序:第一周只做海外宣发,第二周才做国内。顺序反了会破坏分布。
    • AFFiNE 真实案例:开源第一周拿 6000 star,故意不发朋友圈 / 不进国内社群。

README 优化要点

  • 不超过 8 屏,开发者文档单独链接,不塞进 README
  • 加提醒点 star 小动图(类比B站一键三连,用户需要被提醒)
  • backlinks 循环:所有跳出链接(官网/博客/文档)必须能跳回 GitHub

PR 文章策略

  • 准备一篇完整阐述项目优势的文章(官网 Blog / Medium / dev.to)
  • 目的:给所有想帮你传播的人一把枪
  • 案例:德国用户主动发了40多个论坛,没打招呼就发了——能发出去是因为有参考文章

竞品 follower 私信

  • 给竞品(Notion / Miro 等)的 Twitter follower 发私信
  • 实战数据:几百条私信 → 几百个 star 转化
  • 优先找吐槽竞品的用户,已有切换意愿

反模式

  • ❌ 刷 star(GitHub 很快能检测,后果是搜不到)
  • ❌ Reddit 只发一次就跑(社群反感,被 ban 风险高)
  • ❌ 中文社群先发英文项目(除非你目标就是中文用户,否则英文 > 多语言 > 中文的顺序)
  • ❌ README 放太多 emoji / badge(降低可信度)

加入出海社群与购买资料包 · Community & Resources

  • 加入出海社群: 微信添加 staywildgrow,留言「加入社群」即可。

  • 购买资料包: 微信添加 staywildgrow,咨询购买 Gingiris 出海资料包,价格 599 元人民币。

  • Join the global growth community: Add staywildgrow on WeChat and send “加入社群” (join the community).

  • Get the resource pack: Add staywildgrow on WeChat to purchase the Gingiris global growth resource pack for CNY 599.

社群与资料包为可选入口,不影响本开源 Skill 的安装和使用。

The community and paid resource pack are optional; neither is required to install or use this open-source skill.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Gr Oss Marketing AI skill do?

开源项目发布与场景主题营销,含 Web/CLI 数据采集验证。覆盖 GitHub star 增长、KOL 合作、Reddit / HN / Discord / Telegram 社群分发、 多语言落地(中英日韩)。从 gingiris-opensource 提炼。适用场景:要发布一个开源项目, 想在 6 个月内冲 10k star,或已发布但流量卡住要破局。

Why use Gr Oss Marketing on TypingMind?

Because you install it once and use it with any model. Gr Oss Marketing 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.

How do I install Gr Oss Marketing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-oss-marketing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Gr Oss Marketing?

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.

How many AI models can I use with Gr Oss Marketing?

As many as you like. As long as a model supports skills, you can use Gr Oss Marketing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gr Oss Marketing AI skill free?

Yes. It is published on GitHub by Gingiris-1031 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

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.

How are AI skills different from plugins or MCP servers?

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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