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hktitan/duolingo

v2.0.0MIT

The Duolingo playbook as agent skills — retention, streaks, gamification, learning science, curriculum, efficacy measurement, metrics, experimentation, growth, brand, voice, culture, hiring, platform and mobile engineering, observability, and LLM feature design. Distilled from 750 posts on blog.duolingo.com plus the Duolingo Handbook and Design System. Start at the /duolingo router; design and UI craft routes out to design-engineering.

duo-expert-content-engine

Run in-house expertise as a credentialed publishing program fed by the questions users already send you, and earn trust by marking in public where your evidence stops. Covers turning a support inbox into a recurring column, the named expert byline and when to hire an outside one, making the submission address both the CTA and the editorial backlog, promoting corrections into their own instalment, publishing aggregate error data you already own, one fully-worked derivation instead of ten rules, defining the unit before publishing a count, and inverting a confident belief with a primary source. Use when the user asks what should we blog about, how do we build a content program, how do we get thought leadership out of our experts, who should the byline be, should we publish a correction, what do we do with repeat support questions, or why does nobody trust our technical content.

Version
2.0.0
License
MIT
Read SKILL.md at the source

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