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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-ai-agent-platform

Run LLM agents as production infrastructure instead of demos — split what an agent is (prompt, tools, access, output schema) from how it runs (runtime, model, SDK, environment), make every step durable and retryable, grade the diff instead of the prose, cap retries on automated producers, and get non-engineers actually using the thing. Use when standing up an agent platform, wiring an agent into CI, deciding whether a repetitive task is worth automating, writing agent evals, or asking why nobody uses the internal tool you shipped. Triggers on phrases like build an agent platform, agent registry, durable workflow, Temporal, agent evals, LLM as judge, MCP server, auto-generated PRs, bot account permissions, internal tool adoption, our agent retries forever, should we automate this.

Version
2.0.0
License
MIT
Read SKILL.md at the source

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