Individual skill

seo-programmatic

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", or "data-driven SEO".

plugins/BestLemoon/codex-seo/skills/seo-programmatic/SKILL.md

Read pinned source

Source commit d780783eba4ecc7c8b9429f95c9362df95f07c61

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
No
Observed behavior
Network or broad shell
Last checked
Nov 4, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
1,532
Repository last updated
Nov 6, 2026
License
Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Programmatic SEO Analysis & Planning

Build and audit SEO pages generated at scale from structured data sources.
Enforces quality gates to prevent thin content penalties and index bloat.

## Data Source Assessment

Evaluate the data powering programmatic pages:
- **CSV/JSON files**: Row count, column uniqueness, missing values
- **API endpoints**: Response structure, data freshness, rate limits
- **Database queries**: Record count, field completeness, update frequency
- Data quality checks:
  - Each record must have enough unique attributes to generate distinct content
  - Flag duplicate or near-duplicate records (>80% field overlap)