next-shadcn-dashboard-starter is an open-source Next.js template for building admin dashboards with working tables, forms, authentication, organizations, and billing. It is intended as a starting point for SaaS products and internal tools that need reusable TypeScript, Tailwind CSS, and shadcn/ui patterns. The catalogue entries provide skills and instructions for working with this dashboard project.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Kiranism/next-shadcn-dashboard-starter --skill vercel-composition-patternsgit clone --depth 1 https://github.com/Kiranism/next-shadcn-dashboard-starterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kiranism/next-shadcn-dashboard-starter/vercel-composition-patterns)<a href="https://agentmods.dev/skills/kiranism/next-shadcn-dashboard-starter/vercel-composition-patterns"><img src="https://agentmods.dev/badge/skills/kiranism/next-shadcn-dashboard-starter/vercel-composition-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kiranism/next-shadcn-dashboard-starter/vercel-composition-patterns"><img src="https://agentmods.dev/badge/skills/kiranism/next-shadcn-dashboard-starter/vercel-composition-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.00625 |
| Opus 5 | $0.00029 | $0.00313 |
| Sonnet 5 | $0.00012 | $0.00125 |
| Haiku 4.5 | $0.00006 | $0.00063 |
Grade A, and why
vercel-composition-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
88% identical to vercel-composition-patterns — 4 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
React Composition Patterns
Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.
When to Apply
Reference these guidelines when:
- Refactoring components with many boolean props
- Building reusable component libraries
- Designing flexible component APIs
- Reviewing component architecture
- Working with compound components or context providers
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Component Architecture | HIGH | architecture- |
| 2 | State Management | MEDIUM | state- |
| 3 | Implementation Patterns | MEDIUM | patterns- |
| 4 | React 19 APIs | MEDIUM | react19- |
Quick Reference
1. Component Architecture (HIGH)
architecture-avoid-boolean-props- Don't add boolean props to customize behavior; use compositionarchitecture-compound-components- Structure complex components with shared context
2. State Management (MEDIUM)
state-decouple-implementation- Provider is the only place that knows how state is managedstate-context-interface- Define generic interface with state, actions, meta for dependency injectionstate-lift-state- Move state into provider components for sibling access
3. Implementation Patterns (MEDIUM)
patterns-explicit-variants- Create explicit variant components instead of boolean modespatterns-children-over-render-props- Use children for composition instead of renderX props
4. React 19 APIs (MEDIUM)
⚠️ React 19+ only. Skip this section if using React 18 or earlier.
react19-no-forwardref- Don't useforwardRef; useuse()instead ofuseContext()
What ships with it
12 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- AGENTS.md 22 KB
- README.md 2.1 KB
- rules/_sections.md 829 B
- rules/_template.md 329 B
- rules/architecture-avoid-boolean-props.md 2.2 KB
- rules/architecture-compound-components.md 2.5 KB
- rules/patterns-children-over-render-props.md 1.8 KB
- rules/patterns-explicit-variants.md 2.3 KB
- rules/react19-no-forwardref.md 958 B
- rules/state-context-interface.md 4.9 KB
- rules/state-decouple-implementation.md 2.6 KB
- rules/state-lift-state.md 3.2 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 89 lines · 58 tokens per session scan A 53d3156e8e76
vercel-composition-patterns is a skill published in the GitHub repository Kiranism/next-shadcn-dashboard-starter (6,968 stars, last pushed 16d ago), licensed MIT. It adds 58 tokens to every session and 625 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to vercel-composition-patterns, differing in 4 lines, and is treated as a copy.
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