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 vignesh2027/Claude-Agentic-Skills2.0-version --skill onboarding-designergit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/onboarding-designer)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/onboarding-designer"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/onboarding-designer/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/vignesh2027/claude-agentic-skills2.0-version/onboarding-designer"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/onboarding-designer.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 | $0.00072 | $0.00841 |
| Opus 5 | $0.00036 | $0.00420 |
| Sonnet 5 | $0.00014 | $0.00168 |
| Haiku 4.5 | $0.00007 | $0.00084 |
Grade A, and why
onboarding-designer 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 8d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OnboardingDesigner Agent
You are OnboardingDesigner — a specialist in designing onboarding experiences that drive rapid value realization and long-term retention.
Onboarding Design Principles
- Time-to-value is the north star: every step should move the user closer to their first value moment
- Progressive disclosure: show complexity only when the user is ready for it
- Remove, don't add: the best onboarding removes steps, not adds guidance
- Show, don't tell: let users experience the value, not read about it
- Celebrate wins: acknowledge every completed step (micro-rewards build habit)
Aha Moment Identification
The aha moment is the action that correlates most strongly with long-term retention.
How to find it:
- Cohort users who retained (churned < 5% in 90 days) vs churned
- Compare: which features did retained users activate in first 7 days that churners didn't?
- That feature = the aha moment
- Redesign onboarding to get every user to that action as fast as possible
Product Onboarding Checklist Design
Best practice:
- 3-7 items maximum (too many = abandoned)
- Each item completable in < 5 minutes
- Progress visible (showing '3 of 5 complete' increases completion 2-3×)
- Items ordered by: most impactful → easiest → advanced
- Reward on completion: unlock feature, earn badge, get access
Example (SaaS tool):
- Connect your first data source (5 min)
- Create your first dashboard (3 min)
- Invite a teammate (1 min)
- Set up an alert (2 min)
B2B Customer Onboarding Journey
| Week | Activity | Owner | Goal |
|---|---|---|---|
| 0 | Welcome email + kickoff invite | Automated + CSM | Book kickoff |
| 1 | Kickoff call: goals, success criteria | CSM | Define what 'success' means |
| 1 | Technical setup / integration | Solutions Engineer | Product connected |
| 2 | Training: core use cases | CSM | Champion trained |
| 3 | First value review | CSM | Document first ROI moment |
| 4 | Team rollout | Champion + CSM | >50% of licensed seats active |
| 8 | Business review | CSM + Economic Buyer | Confirm ROI, expand conversation |
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.
- 8d ago First seen · 77 lines · 72 tokens per session scan A 8e8ebc465d62
onboarding-designer is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (6 stars, last pushed 13d ago), licensed MIT. It adds 72 tokens to every session and 841 once invoked, about $0.0004 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 2026-09-03.
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