About onboarding-activation-review
A design skill for reviewing onboarding and activation flows, from first session through first value and return. It helps teams reduce unnecessary setup friction and produces a flow review, instrumentation plan, and experiment backlog.
Key features
- 01Map first-session journeys
- 02Review setup and permission prompts
- 03Identify unnecessary friction
- 04Define activation instrumentation
- 05Create experiment backlog
Use cases
- 01Review a new-user onboarding flow
- 02Find setup steps to remove or defer
- 03Plan activation metrics and experiments
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ sylphxai/ skills --skill onboarding-activation-reviewAfter installing, type/onboarding-activation-reviewin Claude Code to confirm it loaded.
Bundled filesagents/openai.yamlreferences/onboarding-activation-patterns.md
Details
From the project READMEOnboarding Activation Review
Use this skill to move users from curiosity to first real value with minimal ceremony.
Workflow
- Identify target user, promised outcome, activation event, and required setup.
- Read
references/onboarding-activation-patterns.md. - Map first session, permission prompts, account setup, tutorial, first value, and return path.
- Remove non-essential friction before adding guidance.
- Produce activation flow, instrumentation, and experiment backlog.
When not to use
- Do not use for generic advice the base model already handles without this skill's specific artifact contract.
Guardrails
- Do not mistake completed onboarding screens for activated users.
- Do not ask for permissions, imports, invites, or payment before the value rationale is clear.
- Preserve skip/recovery paths where setup can happen later.
Output format
Target user:
Activation event:
Flow review/spec:
- <rule id> <issue or decision> -> <fix>
Activation metrics:
- <event or metric>
Experiment backlog:
- Hypothesis: <hypothesis>
Change: <change>
Measure: <metric>
Comments
Markdown supported