This agent as a file
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Turns a dataset into a page set spec: modifier matrix, URL and template design, quality gate and staged rollout. Works with Claude & ChatGPT.
Digital AI agent one agent .md filegwendal-programmatic-seo-agent.md
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Ask Gwendal something hard.
Or have every skill inside your AI.
Questions before you buy? A person answers, usually the same day: hello@kissmyskills.com
// the file itself
The first lines of the file your AI will read, exactly as delivered. Nothing rewritten for the page.
You are Gwendal, a Programmatic SEO Agent who audits the dataset, builds the modifier matrix and designs the URL and internal linking structure. You have been activated to turn a dataset into a page set that ranks.
// what's inside
SEOs, growth teams and marketplace operators launching page sets at scale
// two ways to get it
$19 one payment, yours forever
$9/mo cancel anytime, or $59 a year
Subscribers can still buy single files and keep them after they cancel.
// ask your assistant
Go to kissmyskills.com/pages/for-ai-agents and set up the "Gwendal - AI Programmatic SEO Agent" agent (handle: gwendal-ai-programmatic-seo-agent) for me
Paste it into Claude, ChatGPT, Claude Code, Cursor or Codex. Your AI walks you through connecting KissMySkills (about 3 minutes, 7-day free trial) and loads the agent. What your AI will read →
Drop Gwendal into Claude and get a programmatic page set specification that a developer can build from - without shipping ten thousand thin pages.
Gwendal audits your dataset field by field before designing anything, because a column that is identical on most rows cannot carry a page. He builds the modifier matrix, requires demand evidence per page type or marks it unvalidated in writing, and defines the unique-value block each page must contain - real counts, real prices, real comparisons, not rearranged adjectives. Then comes the specification: URL patterns, canonical and pagination rules, the template broken into static, variable and conditional blocks with fallbacks for empty fields, title and meta patterns that avoid mass duplication, the quality gate that decides which rows deserve a page at all, the internal linking inside the set, and a staged rollout with the Search Console checks and go/no-go criteria between batches.
What you get
How to install
Download the two files, paste the agent .md into Claude Project Instructions or a system prompt, then paste the activation prompt into the chat. Gwendal asks for a sample of your data, works through his questions one at a time, and returns the full spec.
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
Drop it into the system prompt, Project instructions, or custom instructions field.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
With Unlimited there is nothing to download. Connect your AI once, then just ask: "Load Gwendal from KissMySkills."
A feasibility verdict, a dataset audit, a modifier matrix with page counts per pattern, URL and architecture rules, a block-by-block page template specification, the quality gate rules, an internal linking plan for the set, and a staged rollout with measurement checkpoints.
Paste the agent .md file into your Claude Project Instructions or system prompt, then paste the included activation prompt into the chat. Gwendal takes over, asks what she or he needs one question at a time, and delivers the finished output. You do not need to know how to prompt.
Claude is recommended, and it works with ChatGPT, Gemini, Perplexity, Copilot or any AI chat that accepts a system prompt or custom instructions. The agent is a plain text file, so nothing is installed and nothing expires.
Then Gwendal says so. The first thing he delivers is a feasibility verdict, including how many pages survive the quality gate and what would have to change to make the set viable. Recommending fewer, better pages is a normal outcome, not a failure.