WhatsApp Styler

Solid, focused formatting skill that aligns output with WhatsApp’s limited styling capabilities, preventing common issues like raw **markdown** symbols and broken headers. It is best used as a presentation-layer guardrail in any assistant whose replies are sent to WhatsApp, especially in multi-channel setups where other skills may expect full Markdown. Main risks are over-constraining formatting (no headers, no tables) and potential conflicts with other Markdown-centric skills or templates; also, it does not address all nuanced WhatsApp behaviors (e.g., how underscores interact with certain characters or links). Overall, it is a strong fit for production WhatsApp bots that value clean, human-readable, mobile-first messages over rich document-style layouts.

Quick judgment: Strong, focused formatting skill for WhatsApp, especially valuable in production WhatsApp bots where raw markdown artifacts are unacceptable. It strictly enforces WhatsApp’s native syntax (single * for bold, _ for italics, ~ for strikethrough, ``` for monospace, simple lists, and quotes) and explicitly bans headers, tables, and complex markdown, which matches WhatsApp’s real rendering behavior. Main benefits: - Great as a “presentation layer” skill when your assistant is deployed over WhatsApp. - Reduces visual clutter and markdown noise for mobile-first users. - Predictable, low-overhead behavior that composes well with other skills. Risks / limitations: - Not suitable for channels that rely on standard markdown (web, email, docs); using it there would remove useful formatting features like headers and tables. - The prohibition on headers and tables can be constraining for dense, structured content; lists may become long and harder to scan. - Monospace via ``` may still look slightly inconsistent across clients, and long code blocks won’t be handled richly (no syntax highlighting, no multi-line formatting control beyond WhatsApp’s default). Recommended scenarios: - WhatsApp-focused assistants (customer support, commerce, notifications) where reliability of appearance matters more than rich formatting. - Multi-channel bots that switch styles per channel: use this specifically in the WhatsApp routing path. - Teams standardizing message style guidelines for WhatsApp agents and bots to keep a consistent “Human-to-Human” look.