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- Curiosity Gap
curiosity-gap_skill
136
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill flpbalada/my-opencode-config --skill curiosity-gap- SKILL.md10.9 KB
Overview
This skill shows how to create strategic information gaps that motivate users to act. It explains when and how to reveal just enough information to spark curiosity while ensuring the promised payoff is delivered. Use it to design headlines, notifications, onboarding, and engagement loops that increase clicks and sustained attention.
How this skill works
The skill inspects the user journey to identify where revealing partial information will create productive cognitive tension. It guides you to define a clear payoff, calibrate gap size, and pick a reveal strategy (immediate, progressive, social, or timed). It includes measurement and an ethical checklist to avoid clickbait or manipulation.
When to use it
- Writing headlines, subject lines, and ad copy
- Designing notification and alert strategies
- Planning onboarding, feature discovery, and education flows
- Creating content marketing and social hooks
- Designing product reveals, launches, and timed campaigns
Best practices
- Start with a clear promised payoff and ensure delivery matches expectation
- Calibrate gap size: specific and believable but not fully revealing
- Choose a reveal strategy that fits value: immediate for high-value, progressive for learning
- Measure CTR, time-to-resolution, completion rate, and post-reveal satisfaction
- Use ethical constraints: avoid exploiting vulnerability, manufactured scarcity, or false promises
Example use cases
- Headline rewrite: convert “New study on focus” → “How top performers stay focused for 8+ hours” to trigger a knowledge gap
- Onboarding flow: lock a feature behind a progressive reveal that shows benefit before request
- Notification design: “Your week’s top insight is ready” sent at a consistent time to build anticipation
- Product launch: tease a key outcome without full specs, then reveal in a timed event
- Social feature: show a silhouette of a friend’s achievement to prompt discovery and sharing
FAQ
Calibrate to the sweet spot: specific enough to be believable and relevant, intriguing enough to motivate action, but not so large it feels dishonest or unbelievable.
What metrics show a gap is working?
Primary signals are improved click-through rate and reduced time-to-click; also monitor completion/consumption rates and post-reveal satisfaction to detect clickbait effects.