Getting it into your agent
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npx skills add thaolst/ai-growth-prompts --skill 08-growth-frameworksgit clone --depth 1 https://github.com/thaolst/ai-growth-promptsWrote this? Show the measurements
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[](https://agentmods.dev/skills/thaolst/ai-growth-prompts/08-growth-frameworks)<a href="https://agentmods.dev/skills/thaolst/ai-growth-prompts/08-growth-frameworks"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/08-growth-frameworks/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/08-growth-frameworks"><img src="https://agentmods.dev/badge/skills/thaolst/ai-growth-prompts/08-growth-frameworks.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 | $0.01648 |
| Opus 5 | $0.00000 | $0.00824 |
| Sonnet 5 | $0.00000 | $0.00330 |
| Haiku 4.5 | $0.00000 | $0.00165 |
Grade A, and why
08-growth-frameworks 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 11d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
06 · Growth Frameworks — Mental Model Prompts
Tiếng Việt
Prompt để hiểu và áp dụng các mental model growth cốt lõi vào campaign thực tế. Dùng khi cần chọn framework phù hợp hoặc debug chiến lược.
Prompt 01 — Chọn framework phù hợp cho campaign
Khi nào dùng: Đang design campaign mới, không biết nên dùng mental model nào.
Tôi đang thiết kế campaign [mô tả ngắn]. Mục tiêu là [target].
Hãy giúp tôi chọn 1-2 mental model growth phù hợp nhất từ danh sách sau:
1. AARRR (Pirate Metrics) — phân tích từng giai đoạn funnel
2. North Star Metric — tìm metric duy nhất phản ánh giá trị cốt lõi
3. Growth Loops — thiết kế vòng lặp tự duy trì
4. Hook Model (Trigger → Action → Variable Reward → Investment)
5. ICE/RICE — ưu tiên ý tưởng growth
6. Flywheel — xây đà tăng trưởng
7. JTBD (Jobs To Be Done) — hiểu motivation thực sự của user
Yêu cầu:
- Giải thích lý do chọn framework đó
- Áp dụng framework đó vào campaign cụ thể của tôi
- Output dạng: chọn framework → giải thích → apply → expected outcome
Prompt 02 — Debug campaign bằng AARRR
Khi nào dùng: Campaign đang chạy nhưng metric không đạt target, cần tìm điểm nghẽn.
Tôi đang chạy campaign [mô tả]. Các metric hiện tại:
- Acquisition: [số liệu]
- Activation: [số liệu]
- Retention: [số liệu]
- Revenue: [số liệu]
- Referral: [số liệu]
Target không đạt ở giai đoạn: [tên giai đoạn]
Dùng AARRR framework, hãy:
1. Xác định lý do có thể nhất gây ra điểm nghẽn
2. Đề xuất 3 hypothesis cần test
3. Với mỗi hypothesis: cách test, success metric, thời gian test
Prompt 03 — Ưu tiên ý tưởng growth bằng ICE
Khi nào dùng: Có nhiều ý tưởng growth nhưng không biết làm cái nào trước.
Tôi có các ý tưởng growth sau cho [context]:
1. [ý tưởng 1]
2. [ý tưởng 2]
3. [ý tưởng 3]
... (thêm nếu có)
Dùng ICE framework (Impact × Confidence × Ease), hãy:
1. Chấm điểm từng ý tưởng theo 3 tiêu chí (1-10)
2. Tính tổng điểm và sắp xếp thứ tự ưu tiên
3. Giải thích tại sao ý tưởng nào nên làm trước
Điều kiện:
- Impact: mức độ ảnh hưởng đến target KPI
- Confidence: bao nhiêu % chắc chắn sẽ hiệu quả (dựa trên data/reference)
- Ease: dễ implement (thời gian, nguồn lực, phụ thuộc)
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.
- 11d ago First seen · 211 lines · 0 tokens per session scan A c2907b7f8d4d
08-growth-frameworks 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 1,648 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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