Vercel Composition Patterns
Teaches scalable React composition (compound components, context interfaces, explicit variants) to fight boolean-prop proliferation in design systems.
Overview
Vercel Composition Patterns is a Claude skill catalogued in LimeDock Directories for teams working across engineering, design, product. It is tagged for saas, other contexts. Teaches scalable React composition (compound components, context interfaces, explicit variants) to fight boolean-prop proliferation in design systems. Use this page as the operational brief: install path, how to invoke it, copy-paste prompts, prerequisites, and concrete use cases so your team can adopt it without re-reading every roundup article.
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Link
Installation guide
cp -r vercel-labs/agent-skills/skills/composition-patterns ~/.claude/skills/Generic install paths
CLI
npx skills add https://github.com/vercel-labs/agent-skills/tree/main/skills/composition-patterns**Claude Code plugins** (when published as a marketplace skill)
/plugin marketplace add <org/repo>
/plugin install <skill>@<marketplace>**Manual** — copy the skill folder into `~/.claude/skills/composition-patterns/` or your project `.claude/skills/`.
Always review `SKILL.md` and bundled scripts before enabling.
How to use it
Ask to refactor components away from boolean props toward compound/variant APIs.
**Suggested workflow** 1. Install and enable the skill. 2. Open the target project (or Claude.ai chat) with enough product context. 3. Invoke with a clear goal, constraints, and success criteria. 4. Review the first output against your standards; refine with follow-ups. 5. Save winning prompts / outputs into your team playbook.
If Claude does not auto-select it, mention the skill by name: “Use the Vercel Composition Patterns skill…”
Example prompts
- “Use the Vercel Composition Patterns skill for this task: Refactor a 15-boolean-prop component”
- “Walk me through how Vercel Composition Patterns would approach this step by step, then execute.”
- “Review my current draft/plan and improve it using Vercel Composition Patterns. Call out assumptions.”
- “Produce a checklist I can reuse whenever we run Vercel Composition Patterns on similar work.”
Use cases and examples
- Refactor a 15-boolean-prop component
- Design a Radix-style Select API
- Review a component library for composition anti-patterns
- Migrate off forwardRef for React 19
- First-week trial of Vercel Composition Patterns on a real engineering workflow
- Document a reusable prompt template for Vercel Composition Patterns for your team
Prerequisites
- Claude Code, Claude.ai (Skills enabled), or an Agent Skills–compatible host
- Network access if the skill fetches guidelines or calls external tools
- Project or brand context (CLAUDE.md / product notes) for better outputs
- Permission to install third-party skills — audit SKILL.md and scripts first
Tips
- Keep descriptions/triggers tight so Vercel Composition Patterns fires only when relevant (avoids context tax).
- Prefer one sharp job over a mega-skill that tries to do everything.
- Pair with verification (tests, review, screenshots) before shipping outputs.
- Re-audit installed skills monthly — unused skills still cost context every turn.