Install
$ agentstack add skill-gingiris-1031-gingiris-skills-gingiris-b2b-growth ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
B2B SaaS Growth — PLG / SLG Playbook
> 🌍 Language / 语言: [English](#english-version) | [中文](#中文版)
"People like it but revenue isn't growing" is rarely one problem. It's usually a mis-matched motion: a PLG product run with an SLG playbook, or vice versa. Start by diagnosing the motion, then walk the staged path.
English Version
Pick your motion (the flywheel)
PLG (product-driven)
↑
existing traffic + short decision
←─────────────────────────────────→
needs trust + long cycle
↓
SLG (sales-driven)
| Signal | Motion | Reference | |:---|:---|:---| | ACV $10k/yr and decision > 1 month | SLG | Snowflake, Databricks | | In between | PLG-to-SLG hybrid | HeyGen, Deel |
The 5-stage path
| Stage | ARR | Key move | |:---|:---|:---| | Pre-PMF | $0–$100k | 10–30 user interviews; confirm the must-have before anything else | | Early PMF | $100k–$1M | Invest in 1–2 channels deeply — do not spray | | Growth | $1M–$5M | Add affiliate + integration partners; PLG gets sales-assist | | Scale | $5M–$10M | Enterprise team, compliance (SOC 2), channel acceleration | | Ecosystem | $10M+ | Open platform, investor / agency distribution |
B2B content is different from B2C
- Must have a case study (ROI / time saved / headcount saved).
- Must have verifiable numbers ("customer X saved Y hours/month").
- Must have a CFO-friendly pricing page (ROI calculator, annual discount, compliance docs).
- ❌ No B2C hype words ("amazing", "magical").
Anti-patterns
- ❌ Paid acquisition before PMF — you burn cash 10× faster than you learn.
- ❌ Forcing PLG → SLG at $1M just because. Vercel held PLG to $100M.
- ❌ Watching ARR but ignoring NRR. NRR story).
- Going global → localize the listing and pricing.
- Benchmarking a rival → run a competitor teardown.
中文版
选你的增长引擎(飞轮)
PLG(产品驱动)
↑
已有流量 + 短决策
←─────────────────────────────────→
需要信任 + 长周期
↓
SLG(销售驱动)
| 信号 | 引擎 | 对标 | |:---|:---|:---| | ACV $10k/年 且 决策 > 1 个月 | SLG | Snowflake、Databricks | | 中间 | PLG-to-SLG 混合 | HeyGen、Deel |
5 阶段路径
| 阶段 | ARR | 关键动作 | |:---|:---|:---| | Pre-PMF | $0–$100k | 10–30 次用户访谈,先确认 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–$10M | Enterprise 团队、合规(SOC 2)、渠道加码 | | Ecosystem | $10M+ | 开放平台、investor / agency 分销 |
B2B 内容特殊要求
- 必须有 case study(ROI / 省时 / 省人力)。
- 必须有可验证数据("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)。
- ❌ 不用 ToC 话术("amazing"、"magical")。
反模式
- ❌ 没 PMF 就投流(烧钱比学习快 10x)。
- ❌ 到 $1M 就盲目 PLG → SLG(Vercel 坚持 PLG 到 $100M)。
- ❌ 只看 ARR 不看 NRR(NRR < 100% = 漏水桶)。
- ❌ 只给一个合同模板(分 startup / mid-market / enterprise 三版)。
By Iris (生姜 Iris) · ex-COO @ AFFiNE, 150+ AI startups advised · Install: npx skills add Gingiris-1031/gingiris-b2b-growth
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Gingiris-1031
- Source: Gingiris-1031/gingiris-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.