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Gr B2b Growth

Community
Gingiris-1031
gr-b2b-growth

B2B SaaS 全生命周期增长,含首单阻塞诊断与定价承诺验收。从 PMF 验证到 $10M ARR 的完整路径。覆盖 PLG / SLG 选型、 客户访谈、联盟营销、渠道合作、Enterprise sales。整合 HeyGen、Deel、Vercel、Supabase、AWS 案例。 从 gingiris-b2b-growth 提炼。

Overview

PublisherGingiris-1031
Repositorygingiris-skills
Skill namegr-b2b-growth
Stars
88
Forks
6
Bundled files
4
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.

  • 4 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 B2b Growth 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-b2b-growth
  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-b2b-growth .claude/skills/gr-b2b-growth
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gr B2b Growth 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 B2b Growth 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 B2b Growth 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-b2b-growth — B2B SaaS 增长

什么时候用

  • "我的 B2B SaaS 怎么从 0 做到 PMF"
  • "PLG 还是 SLG,我该选哪个"
  • "怎么做 affiliate 营销"
  • "渠道合作 / 集成伙伴怎么谈"
  • "Enterprise sales 怎么起"
  • "私有化部署怎么收款 / 尾款怎么要"
  • "客户需求蔓延怎么管(SOW / 变更)"

首单与定价准备度

已有意向客户却迟迟未付费时,先读取 首单阻塞与定价验收。判断瓶颈是买方/需求、产品主流程、套餐承诺还是付款准备,再决定是否暂停新增线索。输出本周瓶颈、负责人、下一客户里程碑和验证证据;不以固定名单人数判断“线索足够”。

定价页上线前逐项核对计费单位、额度、超量规则和产品实现,不能把尚不可用的功能写成已提供服务。

增长飞轮(4 象限)

        PLG(产品驱动)
            ↑
            |
   已有流量 + 短决策  ←→  需要信任 + 长周期
            |
            ↓
        SLG(销售驱动)

选型判据:

  • ACV < $1k/年 & 决策周期 < 1 周 → PLG(Vercel、Supabase 模式)
  • ACV > $10k/年 & 决策周期 > 1 个月 → SLG(Snowflake、Databricks 模式)
  • 中间 → PLG-to-SLG hybrid(HeyGen、Deel 模式)

5 阶段路径

阶段ARR关键动作
Pre-PMF$0-$100k10-30 次用户访谈(联动 gr-user-interview),确认 must-have
Early PMF$100k-$1M投 1-2 个渠道做深(不要广撒网)
Growth$1M-$5M引入 affiliate + 集成伙伴,PLG 加 sales-assist
Scale$5M-$10MEnterprise 团队、合规认证(SOC2)、channel 加码
Ecosystem$10M+开放平台、investor / agency 分销

2B 打单与交付(私有化 & 定制实操)

来自某 Multi-Agent 开源商业化项目复盘。签合同只是一半,全额收回款才是另一半。

付款与尾款防御

规则细节
分段付款私有化 3:4:3 或 4:4:2(首批功能上线 / 全部部署完 / 运维 3–6 个月后尾款)
签约即收款签合同当天收 30%
违约金写进合同:拖一天多付 0.5%
尾款筹码留 1–2 个功能部署在自己服务器,尾款结清才迁(签前说清、条款写清)
找谁要尾款找对接的最高的人;推诿可问 1–2 次 CEO
长期方向预付款越来越高、尾款越来越少

需求边界:SOR / SOW / CCB

  • SOR(客户原始输入)与 SOW(验收标准+交付节点+变更条款)分开,合同和 SOW 一起签
  • 变更走 CCB:客户书面发起 → 双方 PM 评估金额/工期 → 签变更确认
  • 一切留痕;合同指明"项目验收对接人"
  • 客户口头承诺再多,只有 paperwork 有效

商务推拉与定价

  • 客户提 50 个需求、能做 40 →"先答应 10 个、因为想帮你做到 15 个",把让步做成人情
  • 不想做的需求抬价过滤(人/天多标几天),不直接拒
  • 私有化只有两个真需求:数据隐私 + 接内部权限系统,其他都该买 SaaS
  • SaaS 二开直接卖 License;SSO 等集成开放 API + 标准手册让客户自己做

营收与渠道账

  • $100 万 ARR 拆解:9 个 $10 万 2B 客户 或 每 $10 万 ≈ 500 个 $200/年订阅用户($1M ≈ 5,000)
  • 代理分层:reseller 10–20% 推荐费;年销 $10 万银牌 15%、$30 万金牌 20%
  • 代理尽调三问:代理过什么产品?客户从哪来?Reseller 还是 Service Partner?
  • 2B 内容公式:80% 讲自己如何帮客户成功 + 20% 讲客户;deck 先讲怎么痛、再说怎么好

深度参考

  • references/deal-execution.md — 2B 打单与交付框架(六步流程 / SOW+CCB / 付款结构与尾款防御 / 渠道分层 / $1M ARR 拆解)
  • 完整实操层(合同条款速查卡、签约前 12 问 Checklist、实战话术库)见 Gingiris 付费实操手册 → https://gingiris.tools/playbook/2b-deals/

级联推荐

  • Pre-PMF 阶段需要访谈 → gr-user-interview
  • PMF 后要做内容 → gr-blog-post(含 B2B 文风:数据 > 故事)
  • 出海需要本地化 → gr-aso 或 gr-blog-post i18n
  • 找对标案例 → gr-competitor

B2B 内容特殊要求

  • 必须有 case study(ROI / 节约时间 / 节约人力)
  • 必须有可验证数据("our customer X saved Y hours/month")
  • 必须有 CFO 友好的 pricing 页(ROI 计算器、年付折扣、合规文档)
  • ❌ 不要用 ToC 营销话术("amazing"、"magical")

反模式

  • ❌ 没 PMF 就投流(烧钱速度比学习速度快 10x)
  • ❌ PLG 做到 $1M 就盲目转 SLG(很多死在这里 —— Vercel 是反例,坚持 PLG 到 $100M)
  • ❌ 只看 ARR 不看 NRR(NRR < 100% = 漏水桶)
  • ❌ Enterprise 只给一个合同模板(要分 startup / mid-market / enterprise 三版)

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 B2b Growth AI skill do?

B2B SaaS 全生命周期增长,含首单阻塞诊断与定价承诺验收。从 PMF 验证到 $10M ARR 的完整路径。覆盖 PLG / SLG 选型、 客户访谈、联盟营销、渠道合作、Enterprise sales。整合 HeyGen、Deel、Vercel、Supabase、AWS 案例。 从 gingiris-b2b-growth 提炼。

Why use Gr B2b Growth on TypingMind?

Because you install it once and use it with any model. Gr B2b Growth 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 B2b Growth in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Gingiris-1031/gingiris-skills/tree/main/skills/gr-b2b-growth. 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 B2b Growth?

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 B2b Growth?

As many as you like. As long as a model supports skills, you can use Gr B2b Growth with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Gr B2b Growth 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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