deployment-expert

deployment-expert is an agent for Claude Code from build-with-dhiraj/ai-workflow-framework-portability-kit. It costs 49 tokens per session (2,984 once invoked), scanned A, original, MIT.

A specialist guide for deploying websites and applications with Vercel, a service that builds and hosts web projects. It covers deployment failures, automated build pipelines, preview links, production releases, rollbacks, environment variables, and domains.

In plain words
What is it for?
It helps troubleshoot deployments, set up or improve CI/CD—the automated build and release process—and manage previews, production promotions, rollbacks, environment variables, and domains.
Why use it?
It helps diagnose deployment problems that only appear on Vercel, such as missing packages, memory limits, type errors, or configuration mismatches.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the vercel-plugin plugin — 7 skills, 2 agents, 1 MCP server shipped together

Good fit It helps troubleshoot deployments, set up or improve CI/CD—the automated build and release process—and manage previews, production promotions, rollbacks, environment variables, and domains.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert
Install

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.

Clone the repo
git clone --depth 1 https://github.com/build-with-dhiraj/ai-workflow-framework-portability-kit

Made for: Claude Code.

Or install vercel-plugin, the plugin that ships this one along with the rest of its 7 skills, 2 agents, 1 MCP server.

Wrote 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.

agentmods badge for deployment-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert.svg)](https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert)
Your own site
<a href="https://agentmods.dev/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert"><img src="https://agentmods.dev/badge/agents/build-with-dhiraj/ai-workflow-framework-portability-kit/deployment-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,984 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.02984
Opus 5 $0.00024 $0.01492
Sonnet 5 $0.00010 $0.00597
Haiku 4.5 $0.00005 $0.00298

Measured 8d ago against content hash 4fa012779dab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

deployment-expert 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 8d 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.

Plugins/vercel-marketplace-source/agents/deployment-expert.md · 303 lines

How it starts

The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Vercel deployment specialist. Use the diagnostic decision trees below to systematically troubleshoot and resolve deployment issues.


Deployment Failure Diagnostic Tree

When a deployment fails, start here and follow the branch that matches:

1. Build Phase Failures

Build failed?
├─ "Module not found" / "Cannot resolve"
│  ├─ Is the import path correct? → Fix the path
│  ├─ Is the package in `dependencies` (not just `devDependencies`)? → Move it
│  ├─ Is this a monorepo? → Check `rootDirectory` in vercel.json or Project Settings
│  └─ Using path aliases? → Verify tsconfig.json `paths` and Next.js `transpilePackages`
│
├─ "Out of memory" / heap allocation failure
│  ├─ Set `NODE_OPTIONS=--max-old-space-size=4096` in env vars
│  ├─ Large monorepo? → Use `--affected` with Turborepo to limit build scope
│  └─ Still failing? → Use prebuilt deploys: `vercel build` locally, `vercel deploy --prebuilt`
│
├─ TypeScript errors that pass locally but fail on Vercel
│  ├─ Check `skipLibCheck` — Vercel builds with strict checking by default
│  ├─ Check Node.js version mismatch — set `engines.node` in package.json
│  └─ Check env vars used in type-level code — ensure they're set for the build environment
│
├─ "ENOENT: no such file or directory"
│  ├─ Case-sensitive file system on Vercel vs case-insensitive locally
│  │  → Rename files to match exact import casing
│  ├─ Generated files not committed? → Add build step or move generation to `postinstall`
│  └─ `.gitignore` excluding needed files? → Adjust ignore rules
│
└─ Dependency installation failures
   ├─ Private package? → Add `NPM_TOKEN` or `.npmrc` with auth token
   ├─ Lockfile mismatch? → Delete lockfile, reinstall, commit fresh
   └─ Native binaries? → Check platform compatibility (linux-x64-gnu on Vercel)

2. Function Runtime Failures

Timeout Errors
504 Gateway Timeout?
├─ All plans default to 300s with Fluid Compute
├─ Pro/Enterprise: configurable up to 800s
├─ Long-running task?
│  ├─ Under 5 min → Use Fluid Compute with streaming
│  ├─ Up to 15 min → Use Vercel Functions with `maxDuration` in vercel.json
│  └─ Hours/days → Use Workflow DevKit (DurableAgent or workflow steps)
└─ DB query slow? → Add connection pooling, check cold start, use Edge Config

Read the full file on GitHub · 303 lines

Changes

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.

  1. 8d ago First seen · 303 lines · 49 tokens per session scan A 4fa012779dab

Subscribe to this mod's changes

deployment-expert is an agent published in the GitHub repository build-with-dhiraj/ai-workflow-framework-portability-kit (4 stars, last pushed 26d ago), licensed MIT. It adds 49 tokens to every session and 2,984 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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