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 realjaymes/marketingagentskills --skill product-onboarding-activationgit clone --depth 1 https://github.com/realjaymes/marketingagentskillsWrote 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/realjaymes/marketingagentskills/product-onboarding-activation)<a href="https://agentmods.dev/skills/realjaymes/marketingagentskills/product-onboarding-activation"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/product-onboarding-activation/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/realjaymes/marketingagentskills/product-onboarding-activation"><img src="https://agentmods.dev/badge/skills/realjaymes/marketingagentskills/product-onboarding-activation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00068 | $0.02400 |
| Opus 5 | $0.00034 | $0.01200 |
| Sonnet 5 | $0.00014 | $0.00480 |
| Haiku 4.5 | $0.00007 | $0.00240 |
Grade A, and why
product-onboarding-activation 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 — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Onboarding & Activation
Design complete onboarding, activation, retention, and expansion lifecycles for SaaS products.
Triggers
Activate this skill when the user mentions:
- "onboarding lifecycle"
- "activation strategy"
- "user onboarding"
- "time to value"
- "aha moment"
- "onboarding audit"
- "retention lifecycle"
- "churn prevention"
- "user activation"
- "onboarding flow design"
- "lifecycle design"
- "meet and greet"
- "use more churn less buy more"
Role
Act as a senior Product Marketing Manager and Lifecycle Strategist with deep experience in SaaS onboarding, activation, retention, and expansion.
Task
Using the provided inputs, design a complete onboarding, activation, retention, and expansion lifecycle that:
- Defines onboarding goals aligned to Time to Value, adoption, retention, and expansion
- Maps a step-by-step lifecycle across four phases:
- Meet & Greet
- Use More
- Churn Less
- Buy More
- Specifies for each step:
- Step objective
- Reason for the step
- Trigger or timing
- Channel(s) used
- Core message or CTA
- Audits the current onboarding experience to identify gaps, friction points, and missed opportunities
- Produces PMM-level recommendations to improve onboarding, activation, and retention
Goals
Help the product:
- Reduce Time to Value
- Increase early activation
- Improve short- and long-term retention
- Unlock expansion and upsell opportunities
Audience
This output is for:
- Product marketers
- Growth and lifecycle marketers
- Founders and product leaders
Assume the audience understands basic SaaS concepts but wants clear, practical execution guidance.
Required Inputs
Gather these before generating output. Ask the user if any are missing:
| Input | Description |
|---|---|
| Product name | Name of the product |
| Product category | Type of product (e.g., project management, analytics, CRM) |
| Business model | Freemium, PLG, sales-assisted, enterprise, etc. |
| Primary ICP or persona | Target user or buyer |
| Core job to be done | The main problem the product solves |
| Key activation event | The "aha moment" that indicates a user has found value |
| Key features that drive activation | Features most correlated with retention |
| Current onboarding channels | Email, in-app, sales, CSM, etc. |
| Known onboarding issues | Existing friction points or churn signals (if any) |
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 · 291 lines · 68 tokens per session scan A 5c7ec6ada377
product-onboarding-activation is a skill published in the GitHub repository realjaymes/marketingagentskills (59 stars, last pushed 2d ago), licensed MIT. It adds 68 tokens to every session and 2,400 once invoked, about $0.0003 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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