What I Learned About Agent Skills from Building Popular Ones
The author, having built several popular Skills (PPT, social media cards, logo generator, AI desk card), argues that Agents amplify rather than erase capability gaps. A Skill is defined as a reusable capability unit that bundles expert experience, workflows, taste, and tool calls. Core insights: Skill design is externalizing human taste as constraints (e.g., no pure white/black, text must not cover faces); architecture should be 'short center, thick radius' with SKILL.md holding only high-signal flow; quality must be maintained like code, with gotchas from real failures being the most valuable; the ecosystem should present each Skill as a feature page, not a repository list; distribution relies on GitHub for cross-platform reach and content platforms for community building, creating a flywheel of articles, products, and use cases. A full lifecycle from real need to feedback iteration is proposed. The article is aimed at AI Agent developers, product managers, and content creators, offering concrete cases and actionable design principles.