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/seo-social-cards

Audit and generate Open Graph and Twitter/X social-card tags for a page — check og:title/description/url/type, og:image presence/size/reachability, and twitter:card/title/description/image, then inject complete card tags inferred from the page. Module M8. Feeds the Search SEO

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claude-seo-ai
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Claude Code

$ npx -y skills add Hainrixz/claude-seo-ai --skill seo-social-cards --agent claude-code

SKILL.md

seo-social-cards.SKILL.md
name: seo-social-cards
description: Audit and generate Open Graph and Twitter/X social-card tags for a page — check og:title/description/url/type, og:image presence/size/reachability, and twitter:card/title/description/image, then inject complete card tags inferred from the page. Module M8. Feeds the Search SEO score.
allowed-tools: Read, Grep, Glob, WebFetch, Bash

<!-- Portions Copyright (c) 2026 Enrique Rocha (@soyenriquerocha) - see LICENSE for original authors · tododeia.com · id er-d03758e1 -->

seo-social-cards (M8)

Social cards control how a URL renders when shared on social, chat, and AI assistants — a CTR/sharing signal, not a ranking one (see Honesty). Open Graph metadata is the same `<head>`-level hygiene tier as the structured-data work in `references/schema-tier1.md`, so audit it alongside that module.

Inputs

Work from the PageSnapshot named in your dispatch envelope: read `parsed` from `<run_dir>/pages/<slug>.json` (`metas[]` for `og:*`/`twitter:*`, `canonicals[]`, `images[]`); Grep `pages/<slug>.html` for verbatim evidence; site artifacts live in `<run_dir>/site/{robots.json,sitemaps.json,discovery.json}`. Deterministic findings already emitted by `audit.mjs` are listed in `<run_dir>/findings.deterministic.json` — do not re-emit those ids; add model-judged findings only. If invoked directly with a URL/path and no snapshot exists, first run `node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <target> --out "${CLAUDE_PLUGIN_DATA}/runs"` and use the printed snapshot path.

Audits

Working from the PageSnapshot (`parsed_rendered` when `render.used` is not `none`, else `parsed`): 1. **OG content**: `og:title`, `og:description`, `og:url`, `og:type` present and non-empty; `og:url` matches the canonical; `og:type` sane for the page (e.g. `article` vs `website`). 2. **OG image**: `og:image` present, ~1200x630 (1.91:1) and >=200x200, and **reachable** (HTTP 200, image content-type, absolute URL). 3. **Twitter/X**: `twitter:card` (prefer `summary_large_image`); `twitter:title`, `twitter:description`, `twitter:image`. Twitter falls back to OG when these are absent — note when it is relying on OG. 4. **Fallback behavior**: when OG is absent entirely, record what crawlers would derive (`<title>`, meta description, first content `<img>`) so the finding shows the actual degraded card, not a guess.

Fixes

  • **AUTO** (`fixable: auto`): inject a complete OG + Twitter card block derived from the page's `<title>`/`<h1>`, meta description, canonical URL, and first in-content image. Additive, deterministic, emitted as a diff for `fix`.
  • The tool **cannot create an image asset**. It wires `og:image`/`twitter:image` once a real path exists; until then it leaves a clearly-marked `TODO` placeholder (no invented URL or dimensions). Never fabricate title/description text — derive from on-page content or leave the user a `TODO`.

Verification

  • `dom_assert`: the required `<meta property="og:*">` / `<meta name="twitter:*">` tags exist and are non-empty.
  • `header_check`: `og:image` returns 200 with an image content-type, and dimensions are ~1200x630.
  • When the image fetch or dimension probe is blocked (no network/egress), status is `needs_api`, never a false `pass`.

Findings

Emit findings per `schema/finding.schema.json`. Examples:

  • `M8.og.missing_image` — no `og:image` (status `fail`, severity 2, `fixable: auto`, axis `search`, confidence `established`).
  • `M8.og.image_unreachable` — `og:image` set but returns non-200 / wrong type (status `fail`, severity 2, `fixable: proposed`, axis `search`, confidence `established`).
  • `M8.twitter.no_card` — no `twitter:card`, page falls back to OG only (status `warn`, severity 2, `fixable: auto`, axis `search`, confidence `directional`).

Each finding: `evidence.observed` quotes the tag(s) (or their absence) on the page; `verification.reproduce` is a runnable `dom_assert`/`header_check` command; `expected_impact` is banded + confidence-tagged (no naked %).

Honesty

Social cards are a sharing / click-through signal with **near-zero direct ranking impact** — Google does not use OG tags as a ranking factor. They improve how shared links and AI-assistant previews render, not where the page ranks. Fix them for CTR and brand consistency; do not over-invest expecting SERP movement.

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@hainrixz
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The SEO + AI-search (GEO/AEO) optimization toolkit for Claude Code — two-score audit + opt-in fixer. Built for 2026-2027.

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Questions about seo-social-cards.

Which coding agents can use seo-social-cards?
seo-social-cards installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.