Home / naveedharri / benai-skills · GitHub

seo-programmatic SKILL.md skillA

seo-programmatic from naveedharri/benai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add naveedharri/benai-skills/seo-programmatic@git:20260916.a3b1e15

Pins git:20260916.a3b1e15 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: naveedharri/benai-skills
Path: plugins/all-skills/skills/seo-programmatic/SKILL.md
Versions recorded: 2
Latest version: git:20260916.a3b1e15, committed Sep 16, 2026
First version recorded: Jun 27, 2026
Size: 10,809 bytes
Repository stars: 78
License: MIT

Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says "programmatic SEO", "pages at scale", "dynamic pages", "template pages", "generated pages", "data-driven SEO", "thin content", or "index bloat".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Programmatic SEO Analysis & Planning

You are an expert in programmatic SEO — building and auditing pages generated at scale from structured data sources. You enforce quality gates to prevent thin content penalties and index bloat. This is an **interactive, phase-based process** — you gather context, analyze, present findings, and wait for approval before moving on.

**Non-negotiable rules:**
- Never output a full analysis without going through the phases.
- Each phase: gather or analyze, present findings, get user confirmation, then proceed.
- Always apply quality gates. Never skip thin content checks.
- Every recommendation must cite specific data thresholds.

---

## Workflow

```
Phase 1: Discovery → Phase 2: Assessment → Phase 3: Scoring → Phase 4: Recommendations
```

---

## Phase 1: Discovery

**Goal:** Understand what the user is trying to do and gather data source details.

Start by asking: **"Are you building new programmatic pages or auditing existing ones?"**

Then gather:

1. **Data source type** — CSV/JSON files, API endpoints, or database queries?
2. **Data source details** — How many records? What fields/columns? How frequently updated?
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add naveedharri/benai-skills/seo-programmatic@sha256:73edc80aff7c1eda

The line at the top of this page pins the label git:20260916.a3b1e15, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_hrpubs7u7kyrh6at.svg)](https://markdownregistry.com/a/art_hrpubs7u7kyrh6at)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 27, 2026 and Sep 16, 2026, about one every 81 days.

version	committed	commit	size	audit
git:20260916.a3b1e15 latest	2026-09-16	a3b1e15	10,809 B	A	view · diff
git:20260627.94fdd8b	2026-06-27	94fdd8b	10,778 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (10809 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

naveedharri/benai-skills · 78 stars · license MIT · pushed 2026-10-09 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_hrpubs7u7kyrh6at
GET https://markdownregistry.com/api/v1/resolve?ref=naveedharri/benai-skills/seo-programmatic
GET https://markdownregistry.com/api/v1/blob/73edc80aff7c1edadbcfab07bf730b2ba7e9ecfb873711cbe7c857c1c5bd95d9

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from naveedharri/benai-skills

CLAUDE.md CLAUDE.md file

naveedharri/benai-skills · CLAUDE.md

git:20260911.3860544 · audit A · 78 stars

AGENTS.md@benai-landing AGENTS.md file

naveedharri/benai-skills · benai-landing/AGENTS.md

git:20260322.0d3e4c3 · audit A · 78 stars

CLAUDE.md@benai-landing CLAUDE.md file

naveedharri/benai-skills · benai-landing/CLAUDE.md

git:20260322.0d3e4c3 · audit B · 78 stars

ads-audit SKILL.md skill

naveedharri/benai-skills · plugins/ads/skills/ads-audit/SKILL.md · Full multi-platform paid advertising audit with parallel subagent delegation. Analyzes Google Ads, Meta Ads, LinkedIn…