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Agent skill

Vercel Cost Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize Vercel costs through plan selection, function efficiency, and usage monitoring.

MITAuto-check passedBusiness, Finance & HR

Install Vercel Cost Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill vercel-cost-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace vercel-cost-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/vercel-cost-tuning .claude/skills/vercel-cost-tuning && rm -rf skills-src

Use ~/.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/

Facts

Skill name
vercel-cost-tuning
GitHub stars
2.8k
Token cost
~1.9k tokens
SKILL.md length
497 words
Files
5 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Vercel costs through plan selection, function efficiency, and usage monitoring.

  • Works in 6 steps: Understand the Pricing Model → Identify Cost Drivers → Reduce Function Execution Costs → …
  • Analyzing Vercel billing
  • SKILL.md covers Overview, Prerequisites, Instructions and Cost Optimization Checklist, plus 5 more sections
  • Calls curl and jq; reaches api.vercel.com; needs VERCEL_TOKEN

What it does

Vercel Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Vercel costs through plan selection, function efficiency, and usage monitoring. Use when analyzing Vercel billing, reducing function execution costs, or implementing spend management and budget alerts. Trigger with phrases like "vercel cost", "vercel billing", "reduce vercel costs", "vercel pricing", "vercel expensive", "vercel budget".

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/cost-estimation.md`, `references/cost-reduction-strategies.md` and `references/errors.md`). Compatibility notes: Designed for Claude Code

It sits in Business, Finance & HR, covering Accounting and bookkeeping. It works with Vercel. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Analyzing Vercel billing
  • Reducing function execution costs
  • Implementing spend management and budget alerts
  • With phrases like vercel cost

Example prompts

  • “vercel cost”
  • “vercel billing”
  • “reduce vercel costs”
  • “/vercel-cost-tuning”

Requirements

  • A credential in VERCEL_TOKEN
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(vercel:*), Bash(curl:*), Grep

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Understand the Pricing Model
  2. Identify Cost Drivers
  3. Reduce Function Execution Costs
  4. Reduce Bandwidth Costs
  5. Optimize Middleware Costs
  6. Configure Spend Management

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Bash(vercel:*)
    • Bash(curl:*)
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • api.vercel.com

    Also links to:

    • vercel.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • VERCEL_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Vercel Cost Tuning loads about 1.9k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 497 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.5k

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.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 497 words, ~1,877 tokens.

Download SKILL.mdSave it as .claude/skills/vercel-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
vercel-cost-tuning
description
Optimize Vercel costs through plan selection, function efficiency, and usage monitoring. Use when analyzing Vercel billing, reducing function execution costs, or implementing spend management and budget alerts. Trigger with phrases like "vercel cost", "vercel billing", "reduce vercel costs", "vercel pricing", "vercel expensive", "vercel budget".
allowed-tools
Read, Write, Edit, Bash(vercel:*), Bash(curl:*), Grep
compatibility
Designed for Claude Code
version
1.18.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, vercel, cost-optimization, billing, monitoring

Vercel Cost Tuning

Overview

Optimize Vercel costs by understanding the Fluid Compute pricing model, reducing function execution time, leveraging edge caching to avoid function invocations, and configuring spend management. Covers plan comparison, cost drivers, and monitoring.

Prerequisites

  • Access to Vercel billing dashboard
  • Understanding of current deployment architecture
  • Access to Vercel Analytics for usage patterns

Instructions

Step 1: Understand the Pricing Model

Vercel uses Fluid Compute pricing (for new projects):

ResourceHobby (Free)Pro ($20/member/mo)Enterprise
Bandwidth100 GB1 TB includedCustom
Serverless Execution100 GB-hrs1000 GB-hrs includedCustom
Edge Function invocations500K1M includedCustom
Edge Middleware invocations1M1M includedCustom
Image Optimizations10005000 includedCustom
Builds per day60006000Custom
Concurrent builds11 (more available)Custom

Fluid Compute billing breakdown:

  • Active CPU time: charged per ms of actual CPU usage
  • Provisioned memory: charged per GB-second of allocated memory
  • Benefit: you pay for actual work, not idle waiting (e.g., waiting for a database response)
Step 2: Identify Cost Drivers
bash
# Check usage via API
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v2/usage" | jq .

# Top cost drivers on Vercel:
# 1. Serverless function execution time (CPU + memory)
# 2. Bandwidth (large responses, unoptimized images)
# 3. Edge Middleware invocations (runs on EVERY request)
# 4. Image optimizations (each unique transform costs)
# 5. Build minutes (frequent deploys or slow builds)
Step 3: Reduce Function Execution Costs
typescript
// 1. Right-size function memory — don't over-allocate
// vercel.json
{
  "functions": {
    "api/lightweight.ts": { "memory": 128 },    // Simple JSON responses
    "api/standard.ts": { "memory": 512 },       // Database queries
    "api/heavy.ts": { "memory": 1024 }          // Image processing
  }
}

// 2. Move read-only endpoints to Edge Functions (cheaper, no cold starts)
// api/config.ts
export const config = { runtime: 'edge' };
export default function handler() {
  return Response.json({ features: ['a', 'b'] });
}

// 3. Cache function responses at the edge
// Eliminates function invocations entirely for cached routes
export default function handler(req, res) {
  res.setHeader('Cache-Control', 's-maxage=3600, stale-while-revalidate=86400');
  res.json(data);
}
Step 4: Reduce Bandwidth Costs
json
// vercel.json — compress and cache aggressively
{
  "headers": [
    {
      "source": "/static/(.*)",
      "headers": [
        { "key": "Cache-Control", "value": "public, max-age=31536000, immutable" }
      ]
    }
  ],
  "images": {
    "sizes": [640, 750, 1080],
    "formats": ["image/avif", "image/webp"],
    "minimumCacheTTL": 86400
  }
}

Key bandwidth reducers:

  • Use Vercel's image optimization (auto WebP/AVIF conversion)
  • Set aggressive cache headers on static assets
  • Use ISR to serve static HTML instead of SSR
  • Compress API responses (Vercel auto-compresses with Brotli)
Step 5: Optimize Middleware Costs

Middleware runs on every matched request. Minimize its scope:

typescript
// middleware.ts — scope to specific paths only
export const config = {
  matcher: [
    // Only run middleware on API routes and protected pages
    '/api/:path*',
    '/dashboard/:path*',
    // Skip static files, images, and public assets
    '/((?!_next/static|_next/image|favicon.ico|public).*)',
  ],
};

export function middleware(request) {
  // Keep logic minimal — this runs on every matched request
  // Avoid: database queries, external API calls, heavy computation
  // Good: cookie checks, header modifications, redirects
}
Step 6: Configure Spend Management

In the Vercel dashboard under Settings > Billing > Spend Management:

Default budget: $200/month on-demand usage
Options:
- Set custom budget limit
- Enable hard limit (pauses all projects when reached)
- Configure email alerts at 50%, 75%, 90%, 100%
bash
# Check current usage against budget via API
curl -s -H "Authorization: Bearer $VERCEL_TOKEN" \
  "https://api.vercel.com/v2/usage?teamId=team_xxx" \
  | jq '{period: .period, bandwidth: .bandwidth, execution: .serverlessFunctionExecution}'

Cost Optimization Checklist

ActionImpactEffort
Add s-maxage cache headersHigh — eliminates function invocationsLow
Use Edge Functions for simple endpointsMedium — cheaper than serverlessLow
Right-size function memoryMedium — reduces GB-hr costLow
Scope middleware matcherMedium — reduces edge invocationsLow
Enable image optimizationMedium — reduces bandwidthLow
Use ISR instead of SSRHigh — serves cached HTMLMedium
Optimize build speedLow — reduces build minutesMedium
Set spend management alertsSafety — prevents surprise billsLow
Show full SKILL.md (184 more words)Show less

Output

  • Function memory right-sized per endpoint
  • Edge caching reducing function invocations
  • Middleware scoped to minimize invocations
  • Spend management configured with budget alerts
  • Usage monitoring via API

Error Handling

ErrorCauseSolution
Unexpected bill spikeUncached high-traffic endpointAdd s-maxage to the response
Projects pausedHard spending limit reachedIncrease limit or optimize usage
Image optimization quota exceededToo many unique image transformsReduce sizes array, increase cache TTL
Build minutes exceededSlow builds or too many deploysUse ignoreCommand to skip non-code changes

Examples

Reduce an invocation spike with a measurable rollback

For a high-traffic read endpoint, add a conservative s-maxage response policy in a preview deployment and compare invocation count, cache hit rate, and response correctness against the prior release using synthetic requests. Set spend alerts before rollout and avoid a hard account-wide pause unless the owner accepts its blast radius. If personalized content is accidentally cached, immediately roll back the header change, purge only the affected deployment cache where supported, and document the regression.

Resources

Next Steps

For reference architecture, see vercel-reference-architecture.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in skills/.curated/vercel-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/cost-estimation.md
  • references/cost-reduction-strategies.md
  • references/errors.md
  • references/examples.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Vercel Cost Tuning 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.

Vercel Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vercel Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.9kAutomated safety check: PassMIT
Sandbox Lifecycle Debugvercel-labs/vercel-openclaw-archived117—~809Automated safety check: PassMIT
Configure Authdotnet/skills5.6k1 repos~1.8kAutomated safety check: PassMIT
Sync State Invariantsopenchamber/openchamber11k—~2.7kAutomated safety check: PassMIT
Operational RiskJoelLewis/finance_skills206—~7.4kAutomated safety check: PassMIT
Fastllm Limits Budgetsazrtydxb/Fastllm-proxy108—~467Automated safety check: PassApache-2.0

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Works with

Categories

Questions about Vercel Cost Tuning

What does Vercel Cost Tuning do?

Optimize Vercel costs through plan selection, function efficiency, and usage monitoring. Vercel Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Vercel costs through plan selection, function efficiency, and usage monitoring.

When should I use Vercel Cost Tuning?

Vercel Cost Tuning fits situations like: analyzing Vercel billing; reducing function execution costs; implementing spend management and budget alerts; with phrases like vercel cost.

How do I install Vercel Cost Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vercel-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/vercel-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/vercel-cost-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Vercel Cost Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vercel-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/vercel-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/vercel-cost-tuning in your project. Codex loads it when a task matches its description.

Can I use Vercel Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill vercel-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vercel-cost-tuning, .gemini/skills/vercel-cost-tuning, .github/skills/vercel-cost-tuning and .opencode/skills/vercel-cost-tuning in your project.

What does Vercel Cost Tuning need to run?

Going by SKILL.md and its folder, Vercel Cost Tuning needs the command-line tools its instructions call (curl and jq) and credentials named VERCEL_TOKEN. Our summary lists: A credential in VERCEL_TOKEN. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(vercel:*), Bash(curl:*), Grep. Compatibility (from SKILL.md): Designed for Claude Code.

Does Vercel Cost Tuning access the network?

SKILL.md names 2 domains. In commands or code: api.vercel.com; the agent is likely to contact it when it follows the instructions. As links in the text: vercel.com. This is read from the text; nothing was executed.

Is Vercel Cost Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Vercel Cost Tuning use?

Vercel Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vercel Cost Tuning use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 612 tokens, read only when the agent opens those files.

What are the alternatives to Vercel Cost Tuning?

Skills that share tags, products or a category with Vercel Cost Tuning: Sandbox Lifecycle Debug (vercel-labs/vercel-openclaw-archived, 117 stars), Configure Auth (dotnet/skills, 5.6k stars), Sync State Invariants (openchamber/openchamber, 11k stars) and Operational Risk (JoelLewis/finance_skills, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vercel Cost Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.