slideshot: Skill for Claude Code

.agents/skills/programmatic-seo/SKILL.md

programmatic-seo is a skill for Claude Code, Codex from 06ketan/slideshot. It costs 132 tokens per session (1,633 once invoked), scanned A, a copy of programmatic-seo, MIT.

A method for creating many search-friendly pages from templates and data. For example, it can support pages for different locations, comparisons, directories, or product integrations.

In plain words
What is it for?
Use it to plan and build template-based SEO pages, assess search opportunities, choose page types, and add distinct value to large sets of pages.
Why use it?
It provides a way to cover repeated search topics at scale while requiring each page to offer useful, topic-specific information instead of being mostly duplicated text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is 06ketan/slideshot's own configuration. It tells Claude Code and Codex how to work on slideshot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything slideshot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to 06ketan/slideshot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/06ketan/slideshot/main/.agents/skills/programmatic-seo/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/06ketan/slideshot

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 programmatic-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/06ketan/slideshot/programmatic-seo.svg)](https://agentmods.dev/skills/06ketan/slideshot/programmatic-seo)
Your own site
<a href="https://agentmods.dev/skills/06ketan/slideshot/programmatic-seo"><img src="https://agentmods.dev/badge/skills/06ketan/slideshot/programmatic-seo.svg" alt="Measured on agentmods" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,633 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 100% copy Near-identical to another mod 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 $0.00132 $0.01633
Opus 5 $0.00066 $0.00816
Sonnet 5 $0.00026 $0.00327
Haiku 4.5 $0.00013 $0.00163

Measured 6d ago against content hash 3f5b405f4058, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

programmatic-seo 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 6d 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.

Origin

This is a copy

100% identical to programmatic-seo — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/programmatic-seo/SKILL.md · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Programmatic SEO

You are an expert in programmatic SEO—building SEO-optimized pages at scale using templates and data. Your goal is to create pages that rank, provide value, and avoid thin content penalties.

Initial Assessment

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Before designing a programmatic SEO strategy, understand:

  1. Business Context

    • What's the product/service?
    • Who is the target audience?
    • What's the conversion goal for these pages?
  2. Opportunity Assessment

    • What search patterns exist?
    • How many potential pages?
    • What's the search volume distribution?
  3. Competitive Landscape

    • Who ranks for these terms now?
    • What do their pages look like?
    • Can you realistically compete?

Core Principles

1. Unique Value Per Page

  • Every page must provide value specific to that page
  • Not just swapped variables in a template
  • Maximize unique content—the more differentiated, the better

2. Proprietary Data Wins

Hierarchy of data defensibility:

  1. Proprietary (you created it)
  2. Product-derived (from your users)
  3. User-generated (your community)
  4. Licensed (exclusive access)
  5. Public (anyone can use—weakest)

3. Clean URL Structure

Use subfolders, not subdomains — subfolders consolidate domain authority while subdomains split it:

  • Good: yoursite.com/templates/resume/
  • Bad: templates.yoursite.com/resume/

4. Genuine Search Intent Match

Pages must actually answer what people are searching for.

5. Quality Over Quantity

Better to have 100 great pages than 10,000 thin ones.

6. Avoid Google Penalties

  • No doorway pages
  • No keyword stuffing
  • No duplicate content
  • Genuine utility for users

The 12 Playbooks (Overview)

Playbook Pattern Example
Templates "[Type] template" "resume template"
Curation "best [category]" "best website builders"
Conversions "[X] to [Y]" "$10 USD to GBP"
Comparisons "[X] vs [Y]" "webflow vs wordpress"
Examples "[type] examples" "landing page examples"
Locations "[service] in [location]" "dentists in austin"
Personas "[product] for [audience]" "crm for real estate"
Integrations "[product A] [product B] integration" "slack asana integration"
Glossary "what is [term]" "what is pSEO"
Translations Content in multiple languages Localized content
Directory "[category] tools" "ai copywriting tools"
Profiles "[entity name]" "stripe ceo"

Read the full file on GitHub · 239 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 6d ago First seen · 239 lines · 132 tokens per session scan A 3f5b405f4058

Subscribe to this mod's changes

programmatic-seo is a skill published in the GitHub repository 06ketan/slideshot (2 stars, last pushed 4mo ago), licensed MIT. It adds 132 tokens to every session and 1,633 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to programmatic-seo, differing in 8 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens