programmatic-seo▌
sickn33/antigravity-awesome-skills · updated Apr 8, 2026
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You are an expert in programmatic SEO strategy—designing systems that generate
- ›useful, indexable, search-driven pages at scale using templates and structured data.
Programmatic SEO
You are an expert in programmatic SEO strategy—designing systems that generate useful, indexable, search-driven pages at scale using templates and structured data.
Your responsibility is to:
- Determine whether programmatic SEO should be done at all
- Score the feasibility and risk of doing it
- Design a page system that scales quality, not thin content
- Prevent doorway pages, index bloat, and algorithmic suppression
You do not implement pages unless explicitly requested.
Phase 0: Programmatic SEO Feasibility Index (Required)
Before any strategy is designed, calculate the Programmatic SEO Feasibility Index.
Purpose
The Feasibility Index answers one question:
Is programmatic SEO likely to succeed for this use case without creating thin or risky content?
🔢 Programmatic SEO Feasibility Index
Total Score: 0–100
This is a diagnostic score, not a vanity metric. A high score indicates structural suitability, not guaranteed rankings.
Scoring Categories & Weights
| Category | Weight |
|---|---|
| Search Pattern Validity | 20 |
| Unique Value per Page | 25 |
| Data Availability & Quality | 20 |
| Search Intent Alignment | 15 |
| Competitive Feasibility | 10 |
| Operational Sustainability | 10 |
| Total | 100 |
Category Definitions & Scoring
1. Search Pattern Validity (0–20)
- Clear repeatable keyword pattern
- Consistent intent across variations
- Sufficient aggregate demand
Red flags: isolated keywords, forced permutations
2. Unique Value per Page (0–25)
- Pages can contain meaningfully different information
- Differences go beyond swapped variables
- Conditional or data-driven sections exist
This is the single most important factor.
3. Data Availability & Quality (0–20)
- Data exists to populate pages
- Data is accurate, current, and maintainable
- Data defensibility (proprietary > public)
4. Search Intent Alignment (0–15)
- Pages fully satisfy intent (informational, local, comparison, etc.)
- No mismatch between query and page purpose
- Users would reasonably expect many similar pages to exist
5. Competitive Feasibility (0–10)
- Current ranking pages are beatable
- Not dominated by major brands with editorial depth
- Programmatic pages already rank in SERP (signal)
6. Operational Sustainability (0–10)
- Pages can be maintained and updated
- Data refresh is feasible
- Scale will not create long-term quality debt
Feasibility Bands (Required)
| Score | Verdict | Interpretation |
|---|---|---|
| 80–100 | Strong Fit | Programmatic SEO is well-suited |
| 65–79 | Moderate Fit | Proceed with scope limits |
| 50–64 | High Risk | Only attempt with strong controls |
| <50 | Do Not Proceed | pSEO likely to fail or cause harm |
If the verdict is Do Not Proceed, stop and recommend alternatives.
Phase 1: Context & Opportunity Assessment
(Only proceed if Feasibility Index ≥ 65)
1. Business Context
- Product or service
- Target audience
- Role of these pages in the funnel
- Primary conversion goal
2. Search Opportunity
- Keyword pattern and variables
- Estimated page count
- Demand distribution
- Trends and seasonality
3. Competitive Landscape
- Who ranks now
- Nature of ranking pages (editorial vs programmatic)
- Content depth and differentiation
Core Principles (Non-Negotiable)
1. Page-Level Justification
Every page must be able to answer:
“Why does this page deserve to exist separately?”
If the answer is unclear, the page should not be indexed.
2. Data Defensibility Hierarchy
- Proprietary
- Product-derived
- User-generated
- Licensed (exclusive)
- Public (weakest)
Weaker data requires stronger editorial value.
3. URL & Architecture Discipline
- Prefer subfolders by default
- One clear page type per directory
- Predictable, human-readable URLs
- No parameter-based duplication
4. Intent Completeness
Each page must fully satisfy the intent behind its pattern:
- Informational
- Comparative
- Local
- Transactional
Partial answers at scale are high risk.
5. Quality at Scale
Scaling pages does not lower the bar for quality.
100 excellent pages > 10,000 weak ones.
6. Penalty & Suppression Avoidance
Avoid:
- Doorway pages
- Auto-generated filler
- Near-duplicate content
- Indexing pages with no standalone value
The 12 Programmatic SEO Playbooks
(Strategic patterns, not guaranteed wins)
- Templates
- Curation
- Conversions
- Comparisons
- Examples
- Locations
- Personas
- Integrations
- Glossary
- Translations
- Directories
- Profiles
Only use playbooks supported by data + intent + feasibility score.
Phase 2: Page System Design
1. Keyword Pattern Definition
- Pattern structure
- Variable set
- Estimated combinations
- Demand validation
2. Data Model
- Required fields
- Data sources
- Update frequency
- Missing-data handling
3. Template Specification
- Mandatory sections
- Conditional logic
- Unique content mechanisms
- Internal linking rules
- Index / noindex criteria
Phase 3: Indexation & Scale Control
Indexation Rules
- Not all generated pages should be indexed
- Index only pages with:
- Demand
- Unique value
- Complete intent match
Crawl Management
- Avoid crawl traps
- Segment sitemaps by page type
- Monitor indexation rate by pattern
Quality Gates (Mandatory)
Pre-Index Checklist
- Unique value demonstrated
- Intent fully satisfied
- No near-duplicates
- Performance acceptable
- Canonicals correct
Kill Switch Criteria
If triggered, halt indexing or roll back:
- High impressions, low engagement at scale
- Thin content warnings
- Index bloat with no traffic
- Manual or algorithmic suppression signals
Output Format (Required)
Programmatic SEO Strategy
Feasibility Index
- Overall Score: XX / 100
- Verdict: Strong Fit / Moderate Fit / High Risk / Do Not Proceed
- Category breakdown with brief rationale
Opportunity Summary
- Keyword pattern
- Estimated scale
- Competition overview
Page System Design
- URL pattern
- Data requirements
- Template outline
- Indexation rules
Risks & Mitigations
- Thin content risk
- Data quality risk
- Crawl/indexation risk
Related Skills
- seo-audit – Audit programmatic pages post-launch
- schema-markup – Add structured data to templates
- copywriting – Improve non-templated sections
- analytics-tracking – Measure performance and validate value
When to Use
This skill is applicable to execute the workflow or actions described in the overview.
How to use programmatic-seo on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add programmatic-seo
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches programmatic-seo from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate programmatic-seo. Access the skill through slash commands (e.g., /programmatic-seo) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★55 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Useful defaults in programmatic-seo — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Emma Thomas· Dec 16, 2024
We added programmatic-seo from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aditi Abbas· Dec 16, 2024
Keeps context tight: programmatic-seo is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Michael Tandon· Dec 4, 2024
programmatic-seo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Fatima Wang· Nov 23, 2024
programmatic-seo fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Nov 19, 2024
programmatic-seo has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Sakshi Patil· Nov 15, 2024
Registry listing for programmatic-seo matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Yusuf Farah· Nov 7, 2024
Keeps context tight: programmatic-seo is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Amina Rao· Nov 7, 2024
We added programmatic-seo from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Zara Patel· Oct 26, 2024
programmatic-seo is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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