Vercel Eve
magnus919/agent-skills
Build, develop, deploy, self-host, secure, and troubleshoot durable backend AI agents with Vercel Eve.
Vercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and…
$ npx skills add vercel/vercel-plugin --skill ai-gateway -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vercel/vercel-plugin ai-gateway --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vercel/vercel-plugin.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-gateway .claude/skills/ai-gateway && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ai-gateway" agent skill from https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gateway into .claude/skills/ai-gateway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-gateway", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gatewayType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vercel/vercel-plugin --skill ai-gateway -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vercel/vercel-plugin ai-gateway --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/vercel-plugin.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-gateway .agents/skills/ai-gateway && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-gateway" agent skill from https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gateway into .agents/skills/ai-gateway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-gateway", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vercel/vercel-plugin --skill ai-gateway -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vercel/vercel-plugin ai-gateway --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/vercel-plugin.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-gateway .cursor/skills/ai-gateway && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-gateway" agent skill from https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gateway into .cursor/skills/ai-gateway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-gateway", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vercel/vercel-plugin.git --path skills/ai-gateway--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vercel/vercel-plugin --skill ai-gateway -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vercel/vercel-plugin ai-gateway --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/vercel-plugin.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-gateway .gemini/skills/ai-gateway && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-gateway" agent skill from https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gateway into .gemini/skills/ai-gateway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-gateway", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vercel/vercel-plugin ai-gatewayInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vercel/vercel-plugin --skill ai-gateway -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vercel/vercel-plugin.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-gateway .github/skills/ai-gateway && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-gateway" agent skill from https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gateway into .github/skills/ai-gateway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-gateway", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vercel/vercel-plugin --skill ai-gateway -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vercel/vercel-plugin ai-gateway --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vercel/vercel-plugin.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-gateway .opencode/skills/ai-gateway && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-gateway" agent skill from https://github.com/vercel/vercel-plugin/tree/main/skills/ai-gateway into .opencode/skills/ai-gateway/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-gateway", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ai-gatewayVercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and…
AI Gateway is an agent skill from vercel/vercel-plugin, published by the product's own GitHub organization. Vercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and coding-agent configuration. Use when adding AI Gateway to an app, migrating provider calls, choosing models or providers, centralizing model configuration, evaluating application state, debugging gateway requests, or running vercel ai-gateway commands.
Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/coding-agents.md`, `references/evaluation.md` and `references/routing.md`).
It sits in DevOps & Cloud, covering Observability. It works with Vercel and Vercel AI SDK. The repository describes itself as: Comprehensive Vercel ecosystem plugin — relational knowledge graph, skills for every major product, specialized agents, and Vercel conventions. Turns any AI agent into a Vercel…
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2a1e58d. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
vercelcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
ai-gateway.vercel.shAlso links to:
vercel.comai-sdk.devFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
AI_GATEWAY_API_KEYVERCEL_OIDC_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Gateway loads about 4.4k tokens when it runs, and up to ~16k if it reads all its reference files. Until then it costs about 115 tokens; SKILL.md has 1,430 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
e.js script does not automatically load `.env.local`. Export variables in the shell or load that file explicitly. Framewworks in the actual runtime, including `.env.local` loading where relevant.Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,430 words (~4,386 tokens).
“AI Gateway exposes models from multiple providers through shared authentication, model IDs, routing, billing, and observability. Model availability, SDK APIs, CLI commands, prices, and product capabilities change frequently. Verify them from current sources before changing code.”
SKILL.md and 7 other files (references) in skills/ai-gateway of vercel/vercel-plugin.
Open the folder on GitHubat commit 2a1e58d
AI Gateway next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Gateway this skillvercel/vercel-plugin | 301 | — | ~4.4k | Automated safety check: Notes | Custom licence | |
| Vercel Evemagnus919/agent-skills | 116 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Frontmcp Production Readinessagentfront/frontmcp | 146 | — | ~6.5k | Automated safety check: Pass | Apache-2.0 | |
| Ecosystem Usageevloghq/evlog | 1.9k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Groq Deploy Integrationjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Vercel Observabilityjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~2k | Automated safety check: Pass | MIT |
magnus919/agent-skills
Build, develop, deploy, self-host, secure, and troubleshoot durable backend AI agents with Vercel Eve.
agentfront/frontmcp
Pre-production audit, hardening, and go-live checklists for FrontMCP servers.
evloghq/evlog
Measure agent-facing traffic to the evlog docs site (MCP transport, raw Markdown, discovery paths) with Vercel Observability, and read it without inflating it.
jeremylongshore/tons-of-skills-marketplace
Deploy Groq integrations to Vercel, Cloud Run, and containerized platforms.
jeremylongshore/tons-of-skills-marketplace
Set up Vercel observability with runtime logs, analytics, log drains, and OpenTelemetry tracing.
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
vercel/vercel-plugin
Vercel deployment and CI/CD expert guidance. An agent skill from vercel/vercel-plugin.
vercel/vercel-plugin
Audit vercel-plugin performance on real-world projects. An agent skill from vercel/vercel-plugin.
vercel/vercel-plugin
Vercel CLI expert guidance. An agent skill from vercel/vercel-plugin.
vercel/vercel-plugin
Configure and troubleshoot Vercel Services for multiple frontends and backends in one project.
vercel/vercel-plugin
Access and test Vercel deployments protected by Vercel Authentication, SSO, or Deployment Protection.
vercel/vercel-plugin
Project bootstrapping orchestrator for repos that depend on Vercel-linked resources (databases, auth, and managed integrations).
Works with
Categories
Vercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and…. AI Gateway is an agent skill from vercel/vercel-plugin, published by the product's own GitHub organization. Vercel AI Gateway guidance for setup, model discovery, authentication, routing, fallbacks, virtual models, evaluation models, BYOK, budgets, spend reporting, observability, compatible APIs, and coding-agent configuration.
AI Gateway fits situations like: adding AI Gateway to an app; migrating provider calls; choosing models; centralizing model configuration.
Run `npx skills add vercel/vercel-plugin --skill ai-gateway -a claude-code`. Or copy the skill folder (skills/ai-gateway in vercel/vercel-plugin) into .claude/skills/ai-gateway in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vercel/vercel-plugin --skill ai-gateway -a codex`. Or copy the skill folder (skills/ai-gateway in vercel/vercel-plugin) into .agents/skills/ai-gateway in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vercel/vercel-plugin --skill ai-gateway -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-gateway, .gemini/skills/ai-gateway, .github/skills/ai-gateway and .opencode/skills/ai-gateway in your project.
Going by SKILL.md and its folder, AI Gateway needs the command-line tools its instructions call (vercel and curl) and credentials named AI_GATEWAY_API_KEY and VERCEL_OIDC_TOKEN. Our summary lists: Python 3; Node.js; A credential in OPENAI_API_KEY; A credential in ANTHROPIC_API_KEY.
SKILL.md names 3 domains. In commands or code: ai-gateway.vercel.sh; the agent is likely to contact it when it follows the instructions. As links in the text: vercel.com and ai-sdk.dev. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
AI Gateway has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Gateway: Vercel Eve (magnus919/agent-skills, 116 stars), Frontmcp Production Readiness (agentfront/frontmcp, 146 stars), Ecosystem Usage (evloghq/evlog, 1.9k stars) and Groq Deploy Integration (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vercel (a GitHub organization, an official publisher) maintains it in vercel/vercel-plugin, which has 301 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on October 8, 2026.
Source: vercel/vercel-plugin on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.