When the user wants to improve E-E-A-T, add trust signals, or optimize for expertise and authority. Also use when the user mentions "E-E-A-T," "E-E-A-T signals," "experience expertise authority trust," "author bio," "YMYL," "trust signals," "expertise signals," "authority signals," "citations," "references," or "credibility." For headings, use heading-structure.
npx skills add https://github.com/kostja94/marketing-skills --skill eeat-signals
Guides E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) implementation for SEO. E-E-A-T helps search engines and users assess content quality; YMYL topics (health, finance, legal) require higher E-E-A-T.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
| Element | Meaning | Implementation |
|---------|---------|-----------------|
| Experience | First-hand, real-world experience | Case studies, original research, user testimonials, "we tested" |
| Expertise | Subject-matter knowledge | Author credentials, expert quotes, technical depth |
| Authoritativeness | Recognition as a source | Backlinks, citations, author page, publisher reputation |
| Trustworthiness | Accuracy, transparency | Citations, About page, contact, HTTPS, no misleading content |
E-A-T (without Experience) is used in Featured Snippet context—Bing/Google emphasize correctness, document quality, then authority and trust. See featured-snippet.
| Element | Guideline |
|---------|-----------|
| Real name | Full name used consistently across platforms |
| Photo | Professional headshot; compress for LCP |
| Credentials | Current role, relevant experience tied to article topic |
| Verifiable links | LinkedIn, personal site; align sameAs in Person schema |
| Author page | Dedicated page per author; bio, other articles, social |
| Lightweight action (optional) | Newsletter signup, social follow — avoid link stacking |
For co-authored, reviewed, or fact-checked content, list multiple author cards or label roles consistently (e.g. "Written by / Reviewed by").
Author entity uses Person JSON-LD with name, url, image, jobTitle, worksFor, knowsAbout, sameAs. Must match visible page content — no exaggeration or fabricated credentials. Validate with Rich Results Test. See entity-seo, schema-markup.
| Scenario | Practice |
|----------|----------|
| Data or statistics | Cite source inline or in References section |
| Expert quotes | Attribute; link to source or profile |
| Reference section | For 5+ citations; list at end before Related posts |
| Format | Inline links preferred; numbered refs for academic-style |
| When to include | Any claim benefiting from authority (stats, studies, definitions) |
| External links | Link to reputable sources; avoid low-quality sites |
| Signal | Use |
|--------|-----|
| Case studies | Real customer outcomes; Challenge→Solution→Results |
| Original research | First-party data, surveys, tests |
| First-hand testing | "We tested X"; product reviews with real use |
| User testimonials | Authentic quotes; link to full case study when available |
Topics that can significantly impact health, financial stability, or safety require higher E-E-A-T:
Guidelines: Author credentials, citations to authoritative sources, clear sourcing, regular updates, avoid speculation.
When content is AI-assisted: human review before publish; verify facts and add citations; original insights or data; avoid generic phrasing. Transparency and human refinement support E-E-A-T.
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.
Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.
Use this skill to query your Google NotebookLM notebooks directly from Claude Code for source-grounded, citation-backed answers from Gemini. Browser automation, library management, persistent auth. Drastically reduced hallucinations through document-only responses.
Efficient database search tool for bioRxiv preprint server. Use this skill when searching for life sciences preprints by keywords, authors, date ranges, or categories, retrieving paper metadata, downloading PDFs, or conducting literature reviews.
Query and analyze scholarly literature using the OpenAlex database. This skill should be used when searching for academic papers, analyzing research trends, finding works by authors or institutions, tracking citations, discovering open access publications, or conducting bibliometric analysis across 240M+ scholarly works. Use for literature searches, research output analysis, citation analysis, and academic database queries.
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content analysis). Combines literature insights with data-driven hypothesis testing. For manual hypothesis formulation use hypothesis-generation; for creative ideation use scientific-brainstorming.
Take kostja94/eeat-signals from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.