pseo-performance

pseo-performance is a skill for Claude Code, Codex from lisbeth718/pseo-skills. It costs 69 tokens per session (2,455 once invoked), scanned A, original, MIT.

A set of practices for making programmatic SEO websites fast and able to handle 1,000 or more pages. Programmatic SEO creates many pages from structured data, while Core Web Vitals are Google's measures of page speed and usability.

In plain words
What is it for?
Choosing between prebuilt pages and pages generated when requested, reducing browser-side code, optimizing images, and caching data and rendered pages.
Why use it?
It addresses slow builds, large pages, poor page-speed scores, and performance problems that appear as a site grows.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/lisbeth718/pseo-skills/pseo-performance
Any agent
npx skills add lisbeth718/pseo-skills --skill pseo-performance
Clone the repo
git clone --depth 1 https://github.com/lisbeth718/pseo-skills

Made for: Claude Code, Codex.

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 pseo-performance

README.md
[![agentmods](https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-performance.svg)](https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-performance)
Your own site
<a href="https://agentmods.dev/skills/lisbeth718/pseo-skills/pseo-performance"><img src="https://agentmods.dev/badge/skills/lisbeth718/pseo-skills/pseo-performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 69 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,455 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00069 $0.02455
Opus 5 $0.00034 $0.01228
Sonnet 5 $0.00014 $0.00491
Haiku 4.5 $0.00007 $0.00246

Measured 5d ago against content hash 2d5f4f49677c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pseo-performance 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 5d 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.

skills/pseo-performance/SKILL.md · 253 lines

How it starts

The opening of the file, as written. The whole thing — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.

pSEO Performance Optimization

Optimize the application for fast builds, excellent Core Web Vitals, and reliable performance at 1000+ page scale.

Core Principles

  1. Static first: Pre-render as many pages as possible at build time
  2. Incremental where needed: Use ISR for pages that change frequently
  3. Minimal JavaScript: Pages should be functional with minimal client-side JS
  4. Image optimization: All images processed, sized, and lazy-loaded
  5. Cache aggressively: Cache data fetches, API calls, and rendered output

Optimization Areas

1. Static Generation Strategy

Choose the right rendering strategy for scale:

Page Count Strategy Implementation
< 500 Full SSG Generate all pages at build time
500-5000 SSG + ISR Generate high-traffic pages at build, ISR for rest
5000+ ISR + on-demand Generate on first request, revalidate periodically

Next.js App Router:

// Generate most important pages at build time
export async function generateStaticParams() {
  const topPages = await getTopPages(500);
  return topPages.map((p) => ({ slug: p.slug }));
}

// ISR for the rest
export const revalidate = 86400; // 24 hours

Fallback handling:

  • Always configure a proper fallback (loading state, not blocking)
  • Return notFound() for genuinely invalid slugs
  • Set dynamicParams = true to allow ISR for pages not in generateStaticParams

2. Build Performance

For builds with many pages:

  • Parallelize data fetching: Fetch all data once at the start, not per page
  • Memoize data access: Use React.cache() or module-level caching to avoid redundant reads
  • Limit build concurrency: If the build server has limited memory, configure worker limits
  • Incremental builds: Use ISR to avoid rebuilding all pages on every deploy
  • Monitor build time: Track build duration and set alerts for regressions
// Memoize INDEX-TIER data at module level (lightweight: slug, title, category)
// NEVER cache full page content this way — see section 7 Memory Management
import { cache } from "react";

export const getAllIndexData = cache(async () => {
  // Returns PageIndex[] (~1KB per page) — safe to hold in memory
  return fetchAllIndexDataFromSource();
});

Read the full file on GitHub · 253 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. 5d ago First seen · 253 lines · 69 tokens per session scan A 2d5f4f49677c

Subscribe to this mod's changes

pseo-performance is a skill published in the GitHub repository lisbeth718/pseo-skills (53 stars, last pushed 7mo ago), licensed MIT. It adds 69 tokens to every session and 2,455 once invoked, about $0.0003 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 2026-08-30.

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