agentsclimarketplace

Gr oss marketing

Skill Gingiris/gingiris-skills/skills/gr-oss-marketing

开源项目发布整合营销。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。From its SKILL.md

Install
npx -y skills add Gingiris/gingiris-skills --skill gr-oss-marketing

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 23 stars23 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.7 KB, as published. Nobody here has run it

gr-oss-marketing — 开源营销

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(周二美东 9am 或周六)
  • 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)

深度参考

所有细节、KOL 清单、话术模板、案例库在 upstream repo:

📂 https://github.com/Gingiris/gingiris-opensource

  • 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 "<project> github"
  • 阶段 3 需要产内容 → gr-blog-post
  • 发现对手新打法 → gr-competitor 深挖

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)

Keep looking

Skills are one crate of 627,801. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.