Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Generates click-optimized titles, tweet hooks, and clip captions using patterns reverse-engineered from high-engagement social media creators. Applies behavioral science principles like curiosity gaps, loss aversion, and tribal identity framing. Produces 3-5 ranked options scored on curiosity gap, emotional trigger, and shareability.
It encodes specific patterns from studied accounts and scores every output against three engagement dimensions rather than offering generic copywriting advice.
When to use it
- Writing YouTube titles that withhold the punchline to force a click
- Drafting tweet hooks for a hot take or product announcement
- Captioning streamer or podcast clips with RPG-style saga framing
- Generating thumbnail copy for a viral or breaking moment
- Creating raw, lowercase tweet reactions to trending news
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Write title options for a YouTube video about why Apple will dominate AI
- 1Identifies content type as YouTube title requiring a curiosity gap
- 2Selects Absolutist and Reveal formulas as best fit for the subject
- 3Generates 5 title variants using documented creator patterns
- 4Scores each on Curiosity Gap, Emotional Trigger, and Shareability (1-5 each)
- 5Ranks options and flags the highest combined score as the recommendation
5 ranked titles with scores, e.g. 'Apple will win the AI war without investing a single penny into AI' (CG:5, ET:4, S:4)