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 liqiongyu/lenny_skills_plus --skill designing-growth-loopsgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/designing-growth-loops)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/designing-growth-loops"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/designing-growth-loops/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/liqiongyu/lenny_skills_plus/designing-growth-loops"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/designing-growth-loops.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 | $0.00025 | $0.02390 |
| Opus 5 | $0.00013 | $0.01195 |
| Sonnet 5 | $0.00005 | $0.00478 |
| Haiku 4.5 | $0.00003 | $0.00239 |
Grade A, and why
designing-growth-loops 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Designing Growth Loops
Scope
Covers
- Turning a growth goal into a loop-based growth model (micro loops + macro loops)
- Designing and documenting loops: viral/referral, content/UGC, SEO, partner/integration, sales-assisted, and paid acquisition loops
- Choosing channels using a Customer × Business × Medium fit check
- Validating paid loops with unit economics (LTV, CAC, payback) gating
- Producing an actionable loop plan: loop map → scorecard → experiments → measurement
When to use
- “Design a growth loop / viral loop / referral loop”
- “Create a growth flywheel for ”
- “Map our micro + macro growth loops and prioritize which to build”
- “We need new growth loops (not just optimize ads/onboarding)”
- “Decide whether a paid acquisition loop is viable”
When NOT to use
- You haven’t clarified the ICP/problem or value proposition (use
problem-definition). - You’re still establishing PMF and need a PMF signal set (use
measuring-product-market-fit). - You only need an experiment list/prioritization, not loop design (use
prioritizing-roadmap). - You’re making a one-way-door launch decision (use
shipping-products/running-decision-processes). - You need to improve retention, reduce churn, or design re-engagement for existing users (use
retention-engagement); this skill designs acquisition/growth loops, not post-activation retention. - You need to redesign signup-to-activation onboarding flows (use
user-onboarding); this skill may feed new users into onboarding but does not design the onboarding UX itself. - You need a content editorial calendar or SEO keyword strategy, not a content-as-a-growth-loop system (use
content-marketingfor editorial execution). - You need to build and manage a user community, not design a community-powered growth loop (use
community-buildingfor community programs).
Inputs
Minimum required
- Product + target user/ICP (and 1–2 key segments)
- Current stage (pre-PMF / early PMF / growth / mature) and current primary growth channel(s)
- The core value moment (what users do when they “get value”)
- A baseline snapshot of the growth system (best available): acquisition sources, conversion funnel, retention/engagement, referrals/sharing
- Constraints: budget, timebox, brand/safety, platform policy, legal/privacy, engineering capacity
- For paid loops: rough unit economics (LTV, gross margin, CAC/payback targets) or a proxy
What ships with it
13 files 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.
- eval/eval_config.json 1.3 KB
- eval/SHOWCASE.md 5.4 KB
- eval/with_skill.md 35 KB
- eval/without_skill.md 15 KB
- README.md 1.7 KB
- references/CHECKLISTS.md 1.8 KB
- references/EXAMPLES.md 1.9 KB
- references/INTAKE.md 2.0 KB
- references/RUBRIC.md 3.8 KB
- references/SOURCE_SUMMARY.md 1.6 KB
- references/TEMPLATES.md 3.9 KB
- references/WORKFLOW.md 3.8 KB
- skillpack.json 378 B
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 · 146 lines · 25 tokens per session scan A b1222c562d28
designing-growth-loops is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 2,390 once invoked, about $0.0001 per session on Opus 5. 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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