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cccskills

Results for “duolingo”

6 skills · sorted by relevance

Expert in absurdist, unhinged, and deliberately weird brand voices that work. Covers the Duolingo owl energy, chaotic social media presence, and knowing exactly how far to push. Understands why weird works and when it catastrophically fails. Use when "absurdist, unhinged, duolingo, weird brand, chaotic energy, off the rails, brand character, " mentioned.

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omer-metin/skills-for-antigravity168Updated Jan 22, 2026

Use when styling UI for duolingo.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.

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Manavarya09/design-extract4.3KUpdated Oct 9, 2026

Explain and configure individual spacing algorithms using student performance data and forgetting curves. Use when personalising retention schedules in adaptive learning platforms.

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GarethManning/education-agent-skills880Updated Aug 29, 2026

Explain and configure individual spacing algorithms using student performance data and forgetting curves. Use when personalising retention schedules in adaptive learning platforms.

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nota-america/forgecat-agent-profiles92Updated Sep 24, 2026

Pick a product archetype from a curated catalog before any UI gets built — the single biggest lever for not looking vibecoded. Routes the request to one of B2B-productivity, enterprise-trust, premium-consumer, playful-consumer, editorial, brutalist-distinctive, dev-tool, or marketing-landing, and returns a complete design philosophy: typography pair, color logic, motion curve, density, icon stance, reference sites, and a "feels like X" claim. Load when the user asks to pick an aesthetic, choose a design direction, decide what a UI should feel like, classify a product visually, says "what should this look like", "make this feel like [Linear/Stripe/Apple/Duolingo/...]", "give me a design direction", "what's the right aesthetic for this", or when frontend-design routes here during archetype selection. Sub-skill of frontend-design.

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dvy1987/agent-loom3Updated Aug 8, 2026

Set a deliberate visual direction before any UI is built — the single biggest lever against generic AI output. Derives a posture from product-soul/PRD/specs, scores a curated archetype palette, then generates 2-3 GENUINELY DISTINCT directions and compares them side-by-side before committing to one. Load when the user asks to pick an aesthetic, choose a design direction, decide what a UI should feel like, explore visual options, says "what should this look like", "make it feel like [Linear/Apple/ Duolingo]", "give me design directions", "explore some looks", or when frontend-design routes here. Replaces design-archetype. Sub-skill of frontend-design.

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dvy1987/agent-loom3Updated Aug 8, 2026