Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add thaolst/ai-growth-prompts --skill 10-glossarygit clone --depth 1 https://github.com/thaolst/ai-growth-promptsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/thaolst/ai-growth-prompts/10-glossary)<a href="https://agentmods.dev/skills/thaolst/ai-growth-prompts/10-glossary"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/10-glossary/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/thaolst/ai-growth-prompts/10-glossary"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/10-glossary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.04757 |
| Opus 5 | $0.00000 | $0.02379 |
| Sonnet 5 | $0.00000 | $0.00951 |
| Haiku 4.5 | $0.00000 | $0.00476 |
Grade A, and why
10-glossary scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.
08 · Growth Glossary — Thuật ngữ + Prompt
Tiếng Việt
40+ thuật ngữ growth marketing — có định nghĩa thực tế, không định nghĩa sách vở. Kèm prompt để AI giải thích thuật ngữ với context campaign của bạn.
📖 Glossary — Danh sách thuật ngữ
Chiến lược & Framework
| Thuật ngữ | Định nghĩa ngắn | Ví dụ |
|---|---|---|
| AARRR (Pirate Metrics) | 5 giai đoạn user journey: Acquisition → Activation → Retention → Revenue → Referral | Dùng để chẩn đoán đâu là bottleneck trong funnel |
| North Star Metric | 1 metric duy nhất đo giá trị user nhận được nếu dùng sản phẩm đúng cách | Duolingo: "Số phút học mỗi ngày" — không phải "số user đăng ký" |
| Growth Loop | Hệ thống tự tái tạo: output của 1 cycle là input cho cycle tiếp theo | Dropbox: Dùng → Share → Nhận thêm dung lượng → Dùng tiếp |
| JTBD (Jobs to Be Done) | User "thuê" sản phẩm để làm 1 công việc cụ thể trong đời | Người thuê Grab không phải để "đi xe" mà để "đi từ A đến B không phải lo gì" |
| ICE/RICE | Khung ưu tiên thí nghiệm: Impact × Confidence × Ease (ICE) hoặc Reach × Impact × Confidence × Effort (RICE) | Campaign có Impact 8, Confidence 6, Ease 7 → ICE = 8×6×7 = 336 |
| Growth Funnel (Phễu) | Các bước user đi từ biết đến sản phẩm → chuyển đổi | Install → Register → First action → Retention → Purchase |
| Flywheel | Mô hình vòng quay: khách hàng hài lòng → referral → khách hàng mới → hài lòng hơn | HubSpot: dùng content marketing (khách hàng đọc → tin tưởng → mua → recommend) |
| TAM/SAM/SOM | TAM = Tổng thị trường, SAM = Thị trường có thể phục vụ, SOM = Thị trường thực tế chiếm được | Dùng để estimate campaign scale và justify budget |
Metric & Đo lường
| Thuật ngữ | Định nghĩa ngắn | Ví dụ |
|---|---|---|
| CAC (Customer Acquisition Cost) | Tổng chi phí marketing / Số user mới | Nếu campaign tốn 100 triệu, được 10k user → CAC = 10k |
| LTV (Lifetime Value) | Tổng doanh thu trung bình 1 user mang về trong toàn bộ vòng đời | User app game: nạp 50k/tháng × 12 tháng = LTV = 600k |
| Retention Rate | % user vẫn dùng sản phẩm sau X ngày | D7 retention = 30% → 30% user quay lại trong 7 ngày |
| Churn Rate | % user rời bỏ sản phẩm trong 1 khoảng thời gian | Hàng tháng mất 5% user → annual churn = 1 - 0.95^12 ≈ 46% |
| DAU/MAU (Daily/Monthly Active Users) | Số user hoạt động trong ngày / tháng | Tỷ lệ DAU/MAU = 40% → user dùng app 12 ngày/tháng |
| Redemption Rate | % voucher/phần thưởng được user sử dụng | Phát 100k voucher, 8k được dùng → redemption 8% |
| Take Rate | % doanh thu nền tảng giữ lại sau khi trả cho partner/merchant | Shopee take rate ~5-10% trên mỗi giao dịch |
| MDE (Minimum Detectable Effect) | Mức thay đổi tối thiểu mà A/B test có thể phát hiện | Nếu MDE = 10%, cần 1 thay đổi >10% mới detect được |
| Statistical Significance | % confidence rằng kết quả không phải do ngẫu nhiên | p-value < 0.05 → 95% confidence, kết quả đáng tin |
| Bounce Rate | % user vào trang/app rồi rời đi ngay | Landing page bounce 60% → 60% user không làm gì và thoát |
| Stickiness | Tỷ lệ DAU/MAU, đo "dính" của user | DAU/MAU = 50% → user dùng app 15 ngày/tháng — rất tốt |
| Time to Value (TTV) | Thời gian từ lúc user bắt đầu đến lúc nhận được giá trị đầu tiên | App ngân hàng: từ lúc tải app → nhận được ưu đãi đầu tiên |
| Net Promoter Score (NPS) | Đo mức độ sẵn sàng giới thiệu sản phẩm (thang 0-10) | NPS > 50 là xuất sắc; < 0 là báo động |
| Customer Health Score | Composite metric tổng hợp đo sức khoẻ của từng user | Dùng frequency + recency + feature usage → 0-100 điểm |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 266 lines · 0 tokens per session scan A 703363202226
10-glossary is a skill published in the GitHub repository thaolst/ai-growth-prompts (11 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,757 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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