$npx -y skills add berabuddies/Semia --skill fennecseo-auditUses Fennec SEO Auditor results to audit a URL. Invoke when user wants a quick on‑page/technical SEO health check or to verify favicon/meta/schema and GEO readiness.
| 1 | # Fennec SEO Audit Skill (with Fennec SEO Auditor Extension) |
| 2 | |
| 3 | This Skill is designed to work together with the Chrome extension **Fennec SEO Auditor** to run a quick SEO health check on any given page. |
| 4 | |
| 5 | Typical use cases: |
| 6 | |
| 7 | - Get a fast overview of a page’s SEO basics (title, meta, headings, canonicals, etc.) |
| 8 | - Verify favicon, Open Graph and structured data exposure |
| 9 | - Spot common technical issues (HTTP status code, redirects, indexability, robots rules) |
| 10 | - Judge whether a page is “GEO‑ready” as a candidate source for RAG / LLM answers |
| 11 | |
| 12 | > Chrome extension link: |
| 13 | > https://chromewebstore.google.com/detail/fennec-seo-auditor/fifppiokpmlgceojhfdjbjjapbephcdo |
| 14 | |
| 15 | --- |
| 16 | |
| 17 | ## When to invoke this Skill |
| 18 | |
| 19 | Use `fennec-seo-audit-en` when: |
| 20 | |
| 21 | - The user provides a URL and asks for a **quick SEO audit / health check** |
| 22 | - The user wants to confirm favicon / meta / Open Graph / structured data are implemented correctly |
| 23 | - A new article / landing page has just been published and needs a basic SEO / GEO review |
| 24 | - The user wants to use a real page as a **GEO example**, to see how well it exposes: |
| 25 | - indexability signals |
| 26 | - semantic structure |
| 27 | - brand / entity signals |
| 28 | |
| 29 | Avoid using this Skill as: |
| 30 | |
| 31 | - A full‑site crawler or large‑scale technical audit (it’s better suited for spot checks) |
| 32 | - A replacement for log analysis or server‑level diagnostics |
| 33 | |
| 34 | --- |
| 35 | |
| 36 | ## Human steps (what the user does with the browser) |
| 37 | |
| 38 | 1. Install and enable the **Fennec SEO Auditor** Chrome extension |
| 39 | Link: `https://chromewebstore.google.com/detail/fennec-seo-auditor/fifppiokpmlgceojhfdjbjjapbephcdo` |
| 40 | |
| 41 | 2. Open the target page you want to audit |
| 42 | (e.g. a blog post, product detail page, homepage, documentation page) |
| 43 | |
| 44 | 3. Click the **Fennec SEO Auditor** icon in the browser toolbar: |
| 45 | - Run the standard audit (On‑page / HTML / Links / Images, etc.) |
| 46 | - Wait for the extension to finish and show the report |
| 47 | |
| 48 | 4. Share the key parts of the report with the assistant: |
| 49 | - Either copy key findings as text |
| 50 | - Or summarize / extract the main issues |
| 51 | - Screenshots are fine too if the platform supports them |
| 52 | |
| 53 | The assistant will then interpret the audit and turn it into a clear action plan. |
| 54 | |
| 55 | --- |
| 56 | |
| 57 | ## Assistant responsibilities when this Skill is invoked |
| 58 | |
| 59 | When `fennec-seo-audit-en` is triggered, the assistant should: |
| 60 | |
| 61 | 1. Make sure the user has run Fennec SEO Auditor on the target URL (and guide them if not). |
| 62 | |
| 63 | 2. Parse and structure the audit output, covering at least: |
| 64 | - **Page basics**: URL, title, meta description, H1/H2, main intent |
| 65 | - **Technical layer**: HTTP status, canonical, index directives, robots and sitemap hints |
| 66 | - **Content & readability**: length, keyword coverage, duplication, thin or low‑value sections |
| 67 | - **Media & links**: image ALT attributes, internal link structure, external links / broken links |
| 68 | - **Brand & GEO signals**: favicon, brand / organization info, logo exposure, Schema.org markup |
| 69 | |
| 70 | 3. Highlight **high‑priority issues** that are likely to affect: |
| 71 | - indexability and crawling |
| 72 | - CTR and snippet quality |
| 73 | - perceived trust / authority |
| 74 | |
| 75 | 4. Provide concrete, implementable recommendations for each important issue, not just a restatement of the report. |
| 76 | |
| 77 | 5. Add a **GEO / RAG perspective**, for example: |
| 78 | - Is the page easy for a retrieval system to index and match semantically? |
| 79 | - Are there clear entity signals (Organization / Person / Product, etc.) that help LLMs trust this source? |
| 80 | - Does the page risk being treated as “thin / spammy / boilerplate” content? |
| 81 | |
| 82 | --- |
| 83 | |
| 84 | ## Recommended output structure |
| 85 | |
| 86 | When responding based on Fennec SEO Auditor results, the assistant should aim for a structure like: |
| 87 | |
| 88 | 1. **Page overview** |
| 89 | - URL, title, H1, target intent / query |
| 90 | |
| 91 | 2. **Issue summary (with priorities)** |
| 92 | - High / Medium / Low priority list |
| 93 | |
| 94 | 3. **Detailed findings and fixes** |
| 95 | - Meta & snippets (title, description, OG tags) |
| 96 | - Content & headings |
| 97 | - Internal links & anchors |
| 98 | - Technical / indexability |
| 99 | - Media (images, ALT text) |
| 100 | - Structured data & entity signals |
| 101 | |
| 102 | 4. **GEO / RAG perspective** |
| 103 | - How well this page can be retrieved, re‑ranked and cited by LLMs |
| 104 | - Additional suggestions (e.g. add FAQ schema, clarify sections, add data / sources) |
| 105 | |
| 106 | --- |
| 107 | |
| 108 | ## Notes and constraints |
| 109 | |
| 110 | - The assistant **does not** directly control the browser or extension; it relies on the user to run Fennec and share the output. |
| 111 | - Recommendations should balance: |
| 112 | - Classic SEO (crawlability, rankings, CTR, readability) |
| 113 | - GEO / LLM needs (structured signals, semantic clarity, trustworthy sources, clear entities) |
| 114 | - The assistant should avoid generic advice and tie recommendations back to: |
| 115 | - the user’s actual page |
| 116 | - the specific issues reported by Fennec SEO Auditor. |