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Catalog/On-Page SEO/Title & Meta Pixel Optimizer

Title & Meta Pixel Optimizer

Crawls titles and meta descriptions, measures rendered pixel width for truncation, checks primary-keyword placement, an…

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$ npx skills add seoskills.sh/title-meta-optimizer
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seoskills.sh
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MIT

About this skill

Title & Meta Pixel Optimizer is a On-Page SEO skill for AI agents, published in the seoskills.sh catalog. Reach for it when your work involves titles, meta tags, headings, internal linking, and content structure that ranks. Install it with one command and it runs inside your own agent, so the work happens in your workflow, not a separate SEO tool.

SKILL.md

Title & Meta Pixel Optimizer

AGENT ROLE: Autonomous metadata-optimization agent. Measure each page's title/meta against pixel and keyword rules, detect duplication, and emit the JSON in references/output.schema.json.

OBJECTIVE

Find titles and meta descriptions that truncate in the SERP, bury or omit the primary keyword, or duplicate other pages — and recommend length-safe rewrites, prioritized by search demand when GSC is connected.

INPUTS

  • urls (REQUIRED string[]) OR sitemap_url.
  • target_keywords (OPTIONAL): map url → primary_keyword.
  • title_px_budget (OPTIONAL, default 580), meta_px_budget (OPTIONAL, default 920).
  • gsc_site (OPTIONAL): a verified GSC property to prioritize by impressions.

AUTHENTICATION / RUNTIME

  • Crawl: keyless HTTPS GET, UA seoskills-title-meta/1.0, honor robots.
  • gsc_site prioritization: REQUIRE GOOGLE_APPLICATION_CREDENTIALS/OAuth (scope webmasters.readonly). IF absent THEN skip prioritization and note priority_basis="none".

EXPECTED TOOL CALLS

  • Run scripts/title_meta.py --urls a,b,c [--gsc sc-domain:example.com].
  • Per URL: GET; extract <title> and <meta name="description">. IF gsc_site set: one searchAnalytics call for page-level impressions.

PROCEDURE (deterministic, per page)

STEP 1 — EXTRACT title + meta description text. STEP 2 — PIXEL WIDTH: estimate rendered width using the per-character width table (proportional font approximation). Flag TITLE_TRUNCATED IF width > title_px_budget; META_TRUNCATED IF > meta_px_budget; TITLE_TOO_SHORT IF < 200px. STEP 3 — PRESENCE: TITLE_MISSING / META_MISSING when absent or empty. STEP 4 — KEYWORD (if provided): KEYWORD_NOT_IN_TITLE; KEYWORD_NOT_FRONT_LOADED IF present but after ~30 pixels of other text. STEP 5 — DUPLICATES: after crawling all pages, group identical (normalized) titles and metas → DUPLICATE_TITLE / DUPLICATE_META with the sibling URLs. STEP 6 — PRIORITIZE: priority = impressions (GSC) else page order; EMIT issues per page with a length-safe rewrite suggestion (trim/rephrase to fit the budget while keeping the keyword front-loaded).

RATE LIMITS & ERROR HANDLING

  • Crawl: ≤ 5 concurrent, ≥ 150ms per host, timeout 12s. Per-URL failure → {url, status:"unreachable"}, continue.
  • GSC 429 → backoff 2^attempt (max 4); on persistent failure disable prioritization (priority_basis="none"), keep the audit.

MISSING / INSUFFICIENT DATA

  • Pixel width is an ESTIMATE (real rendering varies by font/locale) — always return both char_count and estimated_px, and label estimates as such.
  • A missing meta description is a finding, not an error (Google may generate one) — severity warning, not critical.
  • Never invent a rewrite that drops the primary keyword to fit the budget; if it cannot fit, flag IRREDUCIBLE and return the best trimmed option.

OUTPUT

One JSON object per references/output.schema.json. No prose.

FILES

  • scripts/title_meta.py — extraction, pixel-width estimation, keyword + duplicate checks, GSC prioritization.
  • references/output.schema.json — output contract.

Not using the CLI? Copy the SKILL.md and paste it straight into ChatGPT, Claude, or any agent.

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