Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/thaolst/ai-growth-promptsnpx agentmods add skills/thaolst/ai-growth-prompts/11-ai-growthWrote 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/11-ai-growth)<a href="https://agentmods.dev/skills/thaolst/ai-growth-prompts/11-ai-growth"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/11-ai-growth/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/11-ai-growth"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/11-ai-growth.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 | $0.06907 |
| Opus 5 | $0.00000 | $0.03453 |
| Sonnet 5 | $0.00000 | $0.01381 |
| Haiku 4.5 | $0.00000 | $0.00691 |
Grade A, and why
11-ai-growth 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 — 667 lines — stays where its author put it; the contents beside it link to each section on GitHub.
09 · AI × Growth Marketing — Prompt Ứng Dụng AI
Tiếng Việt
Prompt để tận dụng AI trong growth marketing. Từ personalization, segmentation, campaign optimization đến predictive analytics và gamification.
11 prompt theo tình huống thực tế. Điền placeholder → paste → lấy kết quả ngay.
Prompt 01 — AI personalization cho campaign
Khi nào dùng: Muốn AI gợi ý cách cá nhân hóa campaign cho từng segment user.
Tôi muốn dùng AI để cá nhân hóa campaign sau:
Campaign: [mô tả — VD: voucher giảm 20% cho đơn hàng tiếp theo]
Segments: [VD: new user (đăng ký < 7 ngày), active user (order trong 30 ngày), dormant (không login > 60 ngày)]
Kênh: [push notification / email / in-app banner]
Dữ liệu có sẵn: [behavior history / purchase history / demographics]
Hãy thiết kế personalization strategy:
1. Với mỗi segment: message chính, offer, timing khác nhau thế nào
2. Cách AI có thể tự động điều chỉnh offer dựa trên real-time behavior
3. Metric để đo mức độ personalization hiệu quả
4. Rủi ro: khi nào personalization phản tác dụng
Ví dụ output mong đợi:
Segment dormant: Message "Bạn vẫn còn 50 điểm sắp hết hạn" (loss aversion) + voucher 25% (cao hơn active user) + gửi lúc 8pm thứ 6. Metric: reactivation rate trong 7 ngày.
Prompt 02 — AI phân tích campaign performance
Khi nào dùng: Campaign vừa kết thúc, muốn AI phân tích nhanh thay vì tự đọc dashboard.
Phân tích performance campaign sau giúp tôi:
Campaign: [mô tả — VD: flash sale 48h giảm 30%]
KPI chính: [VD: redemption rate]
Actual: [VD: 8.2%]
Target: [VD: 10%]
Thời gian chạy: [VD: 15-16/05/2025]
Dữ liệu kèm theo:
- Redemption theo ngày: [VD: ngày 1: 5.1%, ngày 2: 3.1%]
- Redemption theo segment: [VD: new user 12%, active 9%, dormant 2%]
- Chi phí: [VD: 45 triệu VND, CAC = 85k/user]
Phân tích:
1. Campaign performance overall — đạt hay không đạt target? Vì sao?
2. Segment nào hoạt động tốt nhất / tệ nhất? Tại sao?
3. Điểm gì bất thường trong dữ liệu (anomaly)?
4. 3 đề xuất cụ thể cho campaign lần sau
Trả về dạng bảng tóm tắt + bullet điểm chính.
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 · 667 lines · 0 tokens per session scan A 44a9971f744a
11-ai-growth is a skill published in the GitHub repository thaolst/ai-growth-prompts (11 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 6,907 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.
Other skills, from other repositories
multi-agent-workflow
Run a two-stage research then planning workflow for growth campaigns. Use when the user wants to analyze past campaign data AND create a new plan based on that analysis in one connected workflow. Stage 1: analyze data and extract structured insights. Stage 2: use insights to build a campaign plan. Input: past campaign…
campaign-brief
Write a complete campaign brief for growth marketing campaigns. Use when the user needs to create a campaign brief, plan a promotion, design a voucher campaign, or structure a marketing campaign. Works for fintech, e-commerce, super apps, and mobile payment platforms. Input: target segment, objective, budget, mechanic…
ab-test-analyzer
Analyze A/B test results and recommend next actions. Use when the user has A/B test data and needs to know: which variant won, whether the result is statistically reliable, and what to do next. Works for conversion rate tests, copy tests, mechanic tests, UI tests. Input: user counts and conversions for control and…
agent-pre-deploy-review
Review an AI agent prompt and setup before deploying it in real work. Use when the user has built or customized an agent and wants a thorough review before depending on it for real campaign work. Input: agent description, system prompt, example input, example output. Output: prompt weaknesses, edge cases, improvement…
campaign-planning
Build a monthly or quarterly campaign plan from a growth target. Use when the user has a target (MEU, transactions, revenue, retention) and needs a full campaign plan: how many campaigns, what type, in what order, with what budget. Higher-level than campaign-brief (which covers a single campaign in detail). Input…
churn-intervention
Design churn prevention and winback campaigns for fintech and super apps. Use when the user needs to reduce churn, design save offers, create cancellation flows, plan re-engagement campaigns, or analyze churn reasons. Supports both proactive (predictive) and reactive (post-churn) strategies.