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narayan-metaflownarayan-metaflow/metaflow-marketing-skills/skills/content-effort-audit/SKILL.md

content-effort-audit

Skill14 starsChanged 7 months agoMITView on GitHub

Score visible effort evidence on specified URLs. Use when the user asks for a Content Effort audit, rater-style effort scoring, low-effort AI content review, or whether a page would look Lowest under QRG §3.2. Distinct from library keep/refresh/prune (seo-aeo-content-strategy) and from on-page ski-ramp implementation (on-page-seo-aeo-optimization).

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Do not brief “Content Effort is a confirmed ranking factor.” Operate as if visible effort is industrially scored.

    line 20
  2. Very specific:

    Score six signals, 0–2 each (0–12 total): Use references/vee-rubric.md.

    line 28
  3. Distinctive:

    Flag site-level scaled low-effort: only after sampling 3+ URLs that share a skeleton.

    line 31
  4. Distinctive:

    Do not coin a fake “Google Content Effort score.”

    line 56
  5. Very specific:

    Do not collapse this audit into E-E-A-T or keep/refresh/prune.

    line 57

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Content Effort Audit

Score visible effort on finished URLs. Production hours, cost, and process do not count unless they left residue a stranger can point at.

Why this matters

Google’s Search Quality Evaluator Guidelines judge Main Content quality by effort, originality, and talent or skill, plus accuracy on informational/YMYL pages. 2025 updates made “little to no effort, originality, and added value” a Lowest path, including AI paraphrase and scaled content abuse. Generative AI alone does not determine the rating.

Three evidence layers stay separate:

  1. QRG effort — documented rater criterion (primary source).
  2. Leaked contentEffort — reported LLM estimate for article pages. Mapping it to QRG is inference, not a Google statement.
  3. People-first questions — original information, first-hand expertise, not just rewriting sources.

Do not brief “Content Effort is a confirmed ranking factor.” Operate as if visible effort is industrially scored. Label the leak as speculation.

Cross-links: library keep/refresh/prune → seo-aeo-content-strategy. Implementing effort adds on the page → on-page-seo-aeo-optimization.

Process

  1. Classify page purpose. Recipe, calculator, review, explainer, clip, documentary — the bar is relative to purpose, not word count.
  2. Gather visible evidence only. First-party facts, original artifacts, synthesis, craft, curation choices, added value vs substitutes. Ignore time logs, “human review” checkboxes, and origin stories that are not on the URL.
  3. Score six signals, 0–2 each (0–12 total). Use references/vee-rubric.md. Do not invent Google’s weights.
  4. Map to QRG language. 0–3 Lowest-risk evidence, 4–6 Low, 7–9 High, 10–12 Highest-evidence. Then apply the purpose modifier.
  5. Recommend specific effort adds. A zero on first-party information is a measurement or primary document, not “write more.” See the rubric’s add column.
  6. Flag site-level scaled low-effort only after sampling 3+ URLs that share a skeleton. One thin URL is a page problem.
  7. Hand off implementation to on-page SEO/AEO for ski-ramp, titles, and schema. This skill stops at the effort verdict.

Output

Per URL:

FieldRequired
Purpose classYes
Six-signal table (0–2)Yes
Total /12 and bandYes
QRG-aligned risk (Lowest / Low / High evidence)Yes
Missing-evidence listYes
Prioritized effort addsYes
Leak column labeled inferenceYes
Scaled low-effort flagOptional, after 3+ URL sample

Worked pair: references/worked-examples.md.

Rules

  • Visible effort ≠ production effort.
  • Origin (human vs AI) ≠ rating.
  • Word count is not a signal.
  • Do not coin a fake “Google Content Effort score.”
  • Do not collapse this audit into E-E-A-T or keep/refresh/prune.

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