Benji Taylor's Stageshow Teaches Coding Agents to Build Polished Product Demos
Benji Taylor opened a public collection of Agent Skills for coding agents, led by Stageshow, a React toolkit for building faux product UI stills and cursor demos.
- Benji Taylor released benjitaylor/skills, a public collection of Agent Skills, now at 2.1k stars
- First skill is Stageshow: React kit for faux product UI stills, cursor demos, bento grids
- Install with
npx skills add benjitaylor/skills --skill stageshowinto any Agent Skills-compatible agent - Ships primitives for windows, phones, threads, plus motion helpers like Fly, Swap, Camera
- Includes a film.mjs script so the agent screenshots and critiques its own output before finishing
- Aimed at marketing hero illustrations and feature cards that read as real product shots
Designer and engineer Benji Taylor’s public GitHub repository passed 2,000 stars within days of publication. The project collects Agent Skills for design and motion work, though it currently contains one skill: Stageshow, a React and CSS kit for generating product illustrations and animated interface demos.
| Repository | benjitaylor/skills |
|---|---|
| Current skill | Stageshow |
| Purpose | Product UI illustrations, feature cards, hero graphics and animated walkthroughs |
| Stack | React, plain CSS and a JavaScript scripting API |
| Agent format | SKILL.md |
On-demand instructions keep context lean
An Agent Skill is a folder containing a SKILL.md file that describes a repeatable task, its tools and its workflow. Compatible agents discover the skill and load its instructions when a prompt matches its description. A project-level CLAUDE.md file typically enters context at the start of every session, while task-specific skills consume context only when needed.
Anthropic Engineering introduced Agent Skills on October 16, 2025, then published the open standard on December 18, 2025. The format can work across Claude Code, Cursor, the Claude API and other tools that implement the convention. Compatibility still depends on each agent’s support for skill discovery, tool use and referenced scripts.
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