bobmatnyc/vercel-ai
toolchains/platforms/deployment/vercel-ai/SKILL.md
Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel.
$ install --global
skillsauthnpx skillsauth add bobmatnyc/claude-mpm-skills vercel-aiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
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OSV-ScannerOpen Source Vulnerability database check
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OWASP Dep-Check
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Last scanned: Apr 16, 2026, 9:12 AM12.4s1 file scanned
SKILL.md
- name:
- vercel-ai
- description:
- Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel.
- user-invocable:
- false
- disable-model-invocation:
- true
- summary:
- Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel.
- when_to_use:
- When working with vercel-ai or related functionality.
- quick_start:
- 1. Review the core concepts below. 2. Apply patterns to your use case. 3. Follow best practices for implementation.
Vercel AI Skill
progressive_disclosure: entry_point: summary: "Vercel AI platform: AI SDK, AI Gateway, Vercel Agent, agent integrations, and MCP." when_to_use: - "When building AI-powered apps on Vercel" - "When routing model traffic through AI Gateway" - "When using Vercel Agent or MCP workflows" quick_start: - "Choose AI SDK, AI Gateway, or Agent" - "Configure models and routing" - "Secure keys and environment variables" - "Deploy and monitor usage" token_estimate: entry: 90-110 full: 3600-4700
Overview
Vercel AI capabilities include SDKs and services for building AI-enabled applications, model routing, and agent workflows.
AI SDK
- Use the AI SDK to build AI-driven app features.
AI Gateway
- Route model traffic through AI Gateway.
- Apply usage controls and monitoring.
Vercel Agent
- Build and operate agentic workflows.
- Connect agent integrations as needed.
MCP
- Use MCP integrations for AI tooling and workflows.
Complementary Skills
When using this skill, consider these related skills (if deployed):
- vercel-functions-runtime: Functions and Edge execution for AI workloads.
- vercel-storage-data: Data stores for embeddings and artifacts.
- vercel-observability: Usage monitoring and debugging.
Note: Complementary skills are optional. This skill is fully functional without them.
Resources
Vercel Docs:
- AI on Vercel: https://vercel.com/docs/ai
- AI Gateway: https://vercel.com/docs/ai-gateway
- AI SDK: https://vercel.com/docs/ai-sdk
- Vercel Agent: https://vercel.com/docs/agent
- Agent integrations: https://vercel.com/docs/agent-integrations
- MCP: https://vercel.com/docs/mcp
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