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programmatic-seo程序化 SEO

Agent Skill

programmatic-seo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

502

周安装

17

GitHub Stars

67

下载量

140
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:programmatic-seo(程序化 SEO)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/programmatic-seo
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill programmatic-seo
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill programmatic-seo

简介

programmatic-seo 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配或来源线索梳理等研究检索场景。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态及是否涉及联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

/dm:programmatic-seo

Purpose

Plan and audit SEO pages generated at scale from structured data sources (databases, APIs, CSV/JSON files). Enforces quality gates to prevent thin content penalties, index bloat, and Google's Scaled Content Abuse policy.

Input Required

The user must provide (or will be prompted for):

  • URL or data source: Existing programmatic pages to audit, or data source details for planning
  • Page type: What kind of pages are being generated (location, product, integration, glossary, template, tool)
  • Data source: CSV/JSON files, API endpoints, database queries — or existing pages to analyze
  • Target scale: How many pages will be generated
  • Current status: New build or auditing existing programmatic pages

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply industry context and compliance rules. Check for brand guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json.
  2. Data source assessment: Evaluate the data powering programmatic pages — row count, column uniqueness, missing values, duplicate detection (>80% field overlap), data freshness
  3. Template engine planning: Design templates that produce genuinely unique pages — variable injection points, content blocks (static vs dynamic), conditional logic, supplementary content. Validate each page passes the "standalone value test"
  4. URL pattern strategy: Design URL hierarchy — lowercase hyphenated slugs, logical structure, uniqueness enforcement, under 100 characters, consistent trailing slash
  5. Internal linking automation: Hub/spoke model, related items (3-5 per page), breadcrumbs with BreadcrumbList schema, cross-linking by shared attributes, varied anchor text
  6. Thin content safeguard check: Apply quality gates (see below)
  7. Canonical strategy: Self-referencing canonicals, parameter handling, pagination strategy, manual page priority
  8. Sitemap integration: Auto-generate entries, split at 50K URLs, <lastmod> from actual data timestamps, exclude noindexed pages
  9. Index bloat prevention: Noindex low-value pages, pagination handling, faceted navigation canonicalization, crawl budget monitoring for 10K+ pages
  10. Score and report: Score each dimension, produce prioritized action plan

Quality Gates

Scale Thresholds

MetricThresholdAction
Pages without content review100+WARNING: require content audit before publishing
Pages without justification500+HARD STOP: require explicit user approval and thin content audit
Unique content per page<40%Flag as thin content (penalty risk)
Unique content per page<30%HARD STOP: scaled content abuse risk
Word count per page<300Flag for review (may lack sufficient value)

Scaled Content Abuse Context (2025-2026)

Google's Scaled Content Abuse policy (introduced March 2024) saw major enforcement escalation:

  • June 2025: Wave of manual actions targeting AI-generated content at scale
  • August 2025: SpamBrain update enhanced pattern detection for AI-generated link schemes and content farms
  • Result: 45% reduction in low-quality, unoriginal content in search results

Enhanced quality gates for programmatic pages:

  • Content differentiation: 30-40%+ of content must be genuinely unique between any two programmatic pages (not just city/keyword string replacement)
  • Human review: Minimum 5-10% sample review of generated pages before publishing
  • Progressive rollout: Publish in batches of 50-100 pages. Monitor indexing and rankings for 2-4 weeks before expanding. Never publish 500+ simultaneously without quality review.
  • Standalone value test: Each page should pass: "Would this page be worth publishing even if no other similar pages existed?"
  • Site reputation abuse: Publishing programmatic content under a high-authority domain (not your own) may trigger site reputation abuse penalties (enforced aggressively since November 2024)

Safe vs Risky Programmatic Pages

Safe at scale:

  • Integration pages (with real setup docs, API details, screenshots)
  • Template/tool pages (with downloadable content, usage instructions)
  • Glossary pages (200+ word definitions with examples, related terms)
  • Product pages (unique specs, reviews, comparison data)
  • Data-driven pages (unique statistics, charts, analysis per record)

Penalty risk at scale:

  • Location pages with only city name swapped in identical text
  • "Best [tool] for [industry]" without industry-specific value
  • "[Competitor] alternative" without real comparison data
  • AI-generated pages without human review and unique value-add
  • Pages where >60% of content is shared template boilerplate

Uniqueness Calculation

Unique content % = (words unique to this page) / (total words on page) x 100

Measured against all other pages in the programmatic set. Shared headers, footers, and navigation excluded. Template boilerplate IS included.

URL Pattern Library

Common Patterns

  • /tools/[tool-name]: Tool/product directory pages
  • /[city]/[service]: Location + service pages
  • /integrations/[platform]: Integration landing pages
  • /glossary/[term]: Definition/reference pages
  • /templates/[template-name]: Downloadable template pages
  • /compare/[product-a]-vs-[product-b]: Comparison pages

URL Rules

  • Lowercase, hyphenated slugs derived from data
  • Logical hierarchy reflecting site architecture
  • No duplicate slugs — enforce uniqueness at generation time
  • Keep URLs under 100 characters
  • No query parameters for primary content URLs
  • Consistent trailing slash usage (match existing site pattern)

Output

A structured programmatic SEO assessment containing:

Programmatic SEO Score: XX/100

CategoryStatusScore
Data Qualityscore/100
Template Uniquenessscore/100
URL Structurescore/100
Internal Linkingscore/100
Thin Content Riskscore/100
Index Managementscore/100
  • Critical issues (fix immediately)
  • High priority (fix within 1 week)
  • Medium priority (fix within 1 month)
  • Recommendations: data source improvements, template modifications, URL pattern adjustments, quality gate compliance actions
  • Progressive rollout plan with batch sizes and monitoring checkpoints

Agents Used

  • seo-specialist — Programmatic page analysis, quality gate enforcement, URL strategy, template evaluation
  • content-creator — Template content design, uniqueness optimization

Scripts Used

  • tech-seo-auditor.py — Check technical SEO issues across programmatic page samples
  • content-scorer.py — Score content quality and uniqueness per template
  • competitor-scraper.py — Analyze competitor programmatic page patterns

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.66%
按下载量换算53

Claude

31.06%
按下载量换算43

Cursor

17.53%
按下载量换算25

Gemini CLI

9.19%
按下载量换算13

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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