An AI skill is a structured system prompt or set of custom instructions that gives AI assistants like ChatGPT, Claude, and Gemini specialized capabilities. It includes a clear role definition, specific knowledge areas, step-by-step processes, and quality criteria that help AI perform specific professional tasks.

How does Skill This work?

Simply describe your professional expertise in plain text. Our free AI skill generator analyzes your input and transforms it into a structured system prompt. The skill is then graded on clarity, specificity, and usefulness. You can share your skill via a unique URL or copy it to use as custom instructions with any AI assistant like ChatGPT, Claude, or Gemini.

Is Skill This free to use?

Yes, Skill This is completely free. No account or payment is required. You can create unlimited skills and share them with anyone.

How is my skill graded?

Skills are graded on a scale from A+ to F (0-100 points). The grade reflects how clear, specific, and actionable your skill is. Higher grades indicate skills that AI assistants can use more effectively.

How do I use my skill with an AI assistant?

Copy your generated skill and paste it into the system prompt or custom instructions of any AI assistant. For ChatGPT, use Personalization > Custom Instructions. For Claude, add it to a Project's instructions. For Cursor or other IDEs, save it as a .cursorrules or CLAUDE.md file. The AI will then adopt that skill and perform tasks according to your expertise.

AI Skill Report Card

Conducting SEO Audits

A-82·Feb 26, 2026·Source: Web

SEO Audit Conductor

Quick Start13 / 15

Python
# SEO Audit Scorecard Template
audit_framework = {
    "technical_health": {
        "crawlability": ["/robots.txt", "sitemap.xml", "crawl_errors"],
        "site_speed": ["PageSpeed_score", "TTFB", "resource_optimization"],
        "mobile": ["mobile_friendly_test", "responsive_design", "viewport"],
        "security": ["HTTPS_implementation", "mixed_content", "SSL_cert"],
        "structured_data": ["schema_markup", "rich_snippets", "JSON-LD"]
    },
    "scoring": "Pass/Fail + 1-10 impact rating"
}

Run initial crawl with Screaming Frog + Google PageSpeed Insights for baseline data.

Recommendation▾

Quick Start could be more immediately actionable - provide a complete audit checklist or specific tool commands rather than just a framework structure

Workflow15 / 15

Phase 1: Data Collection (Week 1) Progress:

Technical crawl (Screaming Frog/Sitebulb)
Core Web Vitals analysis (Google PageSpeed/CrUX)
Backlink profile export (Ahrefs/SEMrush)
Competitor benchmarking (top 5 competitors)
Google Search Console data export (6 months)

Phase 2: 70-Point Analysis Framework

Technical Health (20 points)

Crawlability: robots.txt, XML sitemaps, crawl budget, orphaned pages
Site Speed: PageSpeed scores, TTFB <200ms, image optimization, CDN
Mobile: Mobile-first indexing readiness, responsive design, touch elements
HTTPS: SSL certificate, mixed content, redirect chains
Structured Data: Schema markup coverage, rich snippet eligibility

On-Page Optimization (20 points)

Title tags: Length (50-60 chars), uniqueness, keyword placement
Meta descriptions: Length (150-160 chars), CTR optimization, uniqueness
Header structure: H1 hierarchy, keyword distribution, logical flow
Internal linking: Link equity distribution, anchor text optimization
URL structure: Clean URLs, keyword inclusion, depth analysis

Content Quality (15 points)

Thin content: Pages <300 words, low engagement metrics
Duplicate content: Internal duplication, syndicated content issues
Content gaps: Keyword gaps vs competitors, topic cluster analysis
Content freshness: Update frequency, evergreen vs timely content

Off-Page Signals (10 points)

Backlink profile: Domain diversity, anchor text distribution, toxic links
Domain authority: DR/DA benchmarks vs competitors
Local signals: NAP consistency, Google My Business optimization
Social signals: Social sharing integration, brand mentions

Core Web Vitals (5 points)

LCP: <2.5 seconds (good), 2.5-4.0 (needs improvement)
CLS: <0.1 (good), 0.1-0.25 (needs improvement)
INP: <200ms (good), 200-500ms (needs improvement)

Phase 3: Impact × Effort Matrix

High Impact, Low Effort (Quick Wins):

Technical errors (404s, broken redirects)
Missing meta descriptions
Image alt text optimization
Schema markup implementation

High Impact, High Effort (Strategic Projects):

Site speed optimization
Content gap filling
Backlink acquisition campaigns
Core Web Vitals improvements

Recommendation▾

Reduce verbosity in some sections (particularly Best Practices) - assumes Claude needs more explanation than necessary for standard SEO concepts

Examples17 / 20

Example 1: Technical Health Audit Input: B2B SaaS website with 500+ pages Output:

Technical Score: 14/20
Critical Issues:
- 47 pages with 404 errors (Impact: 9, Effort: 2)
- Site speed: 32/100 mobile (Impact: 8, Effort: 6)
- Missing schema markup on 80% of pages (Impact: 6, Effort: 3)
- 12 redirect chains >3 hops (Impact: 5, Effort: 2)

Quick Wins: Fix 404s, add basic schema
Strategic: Speed optimization project

Example 2: Content Quality Assessment Input: Manufacturing company website Output:

Content Score: 8/15
Issues Identified:
- 67 thin content pages (<200 words)
- 23% duplicate meta descriptions
- Missing content for 15 high-value keywords competitors rank for
- No blog content in 6 months

Gap Analysis: Competitors average 2.3x more indexed pages
Recommendation: Content expansion + fresh publishing schedule

Recommendation▾

Examples could show more concrete input/output pairs with actual numbers and specific URLs rather than generalized scenarios

Best Practices

Audit Execution:

Use 3+ tools for data validation (Screaming Frog, Sitebulb, SEMrush)
Export Google Search Console data for 6+ months of trend analysis
Benchmark against top 5 organic competitors, not just direct business competitors
Include mobile-first analysis - desktop scores are secondary

90-Day Roadmap Structure:

Days 1-30: Technical quick wins + critical fixes
Days 31-60: On-page optimization + content improvements
Days 61-90: Strategic initiatives + link building

Scoring Methodology:

Each point = Pass/Fail + Impact rating (1-10)
Weight technical issues 2x for B2B sites (longer sales cycles)
Include competitive benchmarking for context
Flag issues that affect Google's ability to crawl/index

Reporting Format:

Executive summary with overall score (/70)
Issues matrix: Impact × Effort quadrants
Month-by-month action items with resource requirements
Expected outcome metrics for each initiative

Common Pitfalls

Data Collection Errors:

Don't rely on single tool data - cross-reference findings
Avoid auditing during major Google algorithm updates
Don't ignore JavaScript rendering issues for SPAs
Skip vanity metrics - focus on revenue-driving keywords

Prioritization Mistakes:

Don't fix easy issues first - prioritize by business impact
Avoid perfectionism on low-traffic pages
Don't ignore competitor analysis - missing 40% of opportunities
Skip generic recommendations - customize for B2B buyer journey

Roadmap Issues:

Don't create unrealistic timelines for technical changes
Avoid recommending wholesale platform changes without strong ROI case
Don't ignore resource constraints - account for developer availability
Skip tracking setup - establish baseline metrics before starting work

B2B-Specific Considerations:

Long sales cycles mean tracking should include assisted conversions
Technical buyers research extensively - optimize for information queries
Account for multiple decision makers in keyword strategy
Industries with compliance requirements need special technical considerations