edge-rendering

edge-rendering is a skill for Claude Code from itallstartedwithaidea/agent-skills. It costs 34 tokens per session (1,476 once invoked), scanned A, original, MIT.

A way to generate and serve pages from servers located near the visitor instead of sending every request to one central server. It is useful for pages whose content changes by city, service, or audience segment.

In plain words
What is it for?
Creating location- or category-specific landing pages, such as service-by-city pages, product-by-location pages, or event-by-venue pages. It also covers caching, structured search data, and page metadata.
Why use it?
It reduces the delay caused by repeated trips to a distant central server while allowing many related page variations to be created from shared templates and data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Claude Code; built for cline.

Part of the all-skills plugin — 73 skills shipped together

Good fit Creating location- or category-specific landing pages, such as service-by-city pages, product-by-location pages, or event-by-venue pages. It also covers caching, structured search data, and page metadata.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/itallstartedwithaidea/agent-skills/edge-rendering
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.

Any agent
npx skills add itallstartedwithaidea/agent-skills --skill edge-rendering
Clone the repo
git clone --depth 1 https://github.com/itallstartedwithaidea/agent-skills

Made for: Claude Code.

Or install all-skills, the plugin that ships this one along with the rest of its 73 skills.

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 edge-rendering

README.md
[![agentmods](https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/edge-rendering/github.svg)](https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/edge-rendering)
Your own site
<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/edge-rendering"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/edge-rendering/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for edge-rendering

Your own site · 80×15
<a href="https://agentmods.dev/skills/itallstartedwithaidea/agent-skills/edge-rendering"><img src="https://agentmods.dev/badge/skills/itallstartedwithaidea/agent-skills/edge-rendering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,476 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00034 $0.01476
Opus 5.5 $0.00014 $0.00590
Sonnet 5.5 $0.00007 $0.00295
Haiku 4.5 $0.00003 $0.00148

Measured 1mo ago against content hash 4ca65d541215, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

edge-rendering scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

async fetch(request: Request, env: Env, ctx: ExecutionContext): Promise<Response> {
skills/infrastructure/edge-rendering/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Edge Rendering

Part of Agent Skills™ by googleadsagent.ai™

Description

Edge Rendering generates and serves dynamic pages at the network edge, eliminating origin round-trips for content that varies by city, service, or user segment. This skill powers googleadsagent.ai™'s system of 18,000+ pages generated from a matrix of 116 services across 155+ cities, each with unique content, structured data, and SEO metadata—all rendered at the edge with sub-50ms TTFB globally.

The city × service page matrix demonstrates the power of edge rendering at scale. Rather than pre-building 18,000 static pages or routing every request to a centralized origin, Workers generate each page on demand using templates, city-specific data from KV, and service metadata from D1. Rendered pages are cached at the edge with stale-while-revalidate semantics, providing instant responses while keeping content fresh.

This pattern extends beyond SEO landing pages to any content that follows a combinatorial template: product × location pages, event × venue pages, or service × industry pages. The edge rendering pipeline handles template resolution, data injection, structured data generation (JSON-LD), meta tag construction, and cache management as a unified system.

Use When

  • Generating pages from a combinatorial matrix (city × service, product × category)
  • Serving SEO-critical content that must have fast TTFB globally
  • Building landing page systems with thousands of unique URLs
  • Replacing static site generation that takes hours to build
  • Implementing stale-while-revalidate caching at the edge
  • Rendering structured data (JSON-LD) dynamically per page

How It Works

graph TD
    A[Request: /google-ads/chicago] --> B[Worker: Parse city + service]
    B --> C{Edge Cache Hit?}
    C -->|Hit| D[Return Cached HTML]
    C -->|Miss| E[Fetch City Data from KV]
    E --> F[Fetch Service Data from D1]
    F --> G[Render Template]
    G --> H[Inject JSON-LD Structured Data]
    H --> I[Generate Meta Tags]
    I --> J[Cache at Edge]
    J --> K[Return Fresh HTML]
    D --> L[Background: Revalidate if Stale]

Read the full file on GitHub · 151 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. 1mo ago First seen · 151 lines · 34 tokens per session scan A 4ca65d541215

Subscribe to this mod's changes

edge-rendering is a skill published in the GitHub repository itallstartedwithaidea/agent-skills (44 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 1,476 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

tracking-health

Preventive audit of conversion tracking across all configured ad platforms — Meta pixels + CAPI, Google Ads conversion actions, and final-URL tracking-parameter consistency on every platform — with a GA4 cross-check. Use when the user asks to check tracking, audit conversion measurement, verify pixels / tags, check…

logly/mureo · 168 tokens

learn

Save a marketing diagnosis insight to the pro-diagnosis knowledge base so it is applied in future operations across all platforms. Use when the user runs /learn, explicitly teaches the agent a marketing insight, corrects the agent's analysis, or asks to remember/record an operational learning for next time. Also use…

logly/mureo · 98 tokens

adspirer-amazon-ads

Create and manage Amazon Ads through Adspirer — Sponsored Products, Sponsored Brands, and Sponsored Display, with ASIN targeting, search-term reports, ACoS, and bid optimization. Use for anything on Amazon Advertising or Seller/Vendor Central ads.

amekala/ads-mcp · 58 tokens

weekly-report

A skill that creates a weekly marketing-operations summary across connected platforms. It reviews logged actions and strategy information to produce a recap.

logly/mureo · 63 tokens

review-stack

Stack review of one or more third-party tools (OXC, TanStack, Vite, cf, Sentry, pnpm, Claude Code...) against current official best practices, or of what a dependency bump brings (bumped): one parallel subagent per tool, verified findings, one consolidated plan in chat. USE WHEN: user runs /review-stack or explicitly…

louisbrulenaudet/monorepo-template · 115 tokens

sealeap-amazon-product-targeting

An Amazon Ads planning skill for targeting product pages and categories, including competitor, complementary, upsell, and own-product traffic.

xjli360/sealeap-amazon-ad-skills · 168 tokens