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ClaudeWave
Skill2.1k repo starsupdated 7d ago

blog-rewrite

blog-rewrite optimizes existing blog posts for dual ranking across Google search and AI citation platforms by conducting a comprehensive audit against five scoring categories (content, SEO, E-E-A-T, technical, and AI citation factors), then systematically rewrites posts while preserving author voice. Use this skill when revitalizing underperforming articles, migrating legacy content to modern standards, or preparing posts for visibility across both search engines and AI training datasets.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/AgriciDaniel/claude-blog /tmp/blog-rewrite && cp -r /tmp/blog-rewrite/skills/blog-rewrite ~/.claude/skills/blog-rewrite
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# Blog Rewriter: Optimize Existing Posts

Rewrites and optimizes existing blog posts for dual ranking: Google search
and AI citation platforms. Preserves the author's voice while applying the
6 pillars of optimization.

**Key references:**
- `skills/blog/references/quality-scoring.md` - 5-category scoring (Content 30, SEO 25, E-E-A-T 15, Technical 15, AI Citation 15)
- `skills/blog/references/eeat-signals.md` - Experience, expertise, authority, trust markers
- `skills/blog/references/internal-linking.md` - Linking strategy and anchor text rules
- `skills/blog/references/visual-media.md` - Image sourcing and chart styling
- `skills/blog/references/synthesis-contract.md` - 6 LAWs for re-citation hygiene during rewrite (v1.8.0; cross-skill ref lives in the orchestrator's references dir)
- `skills/blog/references/research-quality.md` - cross-source clustering for replacement-statistic research (v1.8.0)

## Cross-reference

For 21 evidence-led optimization prompts (quality follow-up, CTR audit, schema,
PAA rewording, technical audit, ChatGPT visibility) directly applicable to
rewrite work, see `/blog flow optimize`.

## Workflow

### Phase 1: Audit (Read-Only)

1. **Read the blog post** - Detect format (MDX, markdown, HTML)
2. **Run the quality checklist** against `skills/blog/references/quality-scoring.md`:
   - Count fabricated vs sourced statistics
   - Check answer-first formatting (H2 -> stat in first sentence?)
   - Count images and charts (type diversity?)
   - Review paragraph pacing in context; record length only as a descriptive aid
   - Check heading hierarchy (H1 -> H2 -> H3, no skips?)
   - Check schema presence and validity, prioritizing Article/BlogPosting, Person, Organization, and BreadcrumbList; FAQPage is optional entity markup only
   - Check freshness signals (lastUpdated, dateModified)
   - Assess self-promotion level
   - Evaluate citation tier quality
3. **Advisory editorial style scan**:
   - **Sentence-length variation** - Report it descriptively when rhythm needs
     review. It cannot determine authorship and has no pass/fail threshold.
   - **Known AI phrase scan** - Check for these high-frequency AI phrases:
     - "in today's digital landscape", "it's important to note", "dive into"
     - "game-changer", "navigate the landscape", "revolutionize", "seamlessly"
     - "cutting-edge", "harness the power of", "leverage" (as verb)
     - "delve", "crucial", "elevate", "foster", "landscape" (overused)
     - "multifaceted", "robust", "tapestry", "embark"
     - Full list in `agents/blog-writer.md`
   - **Vocabulary sample** - Report Type-Token Ratio (TTR) descriptively and
     interpret it against text length and specialist terminology.
   - Never estimate AI authorship from TTR, sentence-length variation, punctuation,
     or phrase density. These are advisory project-style observations only.
   - **Second-order structural reflex scan** (v1.8.0) - The first-order checks above
     are vocabulary-level. The second-order pass reviews structural repetition
     that can survive simple wording edits. Run against
     `skills/blog/references/ai-slop-detection.md`. Flag at minimum:
     - Repetitive question-cadence H2s that do not suit reader intent
     - Three or more "Here..." paragraph openers
     - Three-clause sentence rhythm above 50% in any 200-word window
     - More than 2 hedge words ("may," "often," "typically," "generally") in any 20-word span
     - Symmetric-list bloat (list-item word-count SD below 5)
     - More than 2 wrap-up rhetorical questions ("What does this mean for...?")
     - More than half of H2 openers starting with a transition word
     - "The key insight is..." or "What's important here is..." as sentence openers
     - Listicle pre-list intro above 250 words
     - Opening-word repetition: top three first-words above 25% share
     - Paragraph-shape SD below 25 (visual monotony)
     Apply editorial judgment; none of these metrics changes the score or blocks delivery.
4. **Video embed check**:
   - Count existing YouTube embeds in the post
   - If 0 embeds, flag: "No video embeds. Consider adding relevant high-quality YouTube embeds when they add useful context."
   - If present, check: lazy loading? aria-labels? noscript fallback? VideoObject schema?
5. **Cannibalization check**:
   - Identify the post's primary keyword from title, H1, and first paragraph
   - Search the blog directory for other posts targeting the same keyword:
     - Grep headings and meta descriptions across all blog posts
     - Flag any posts with significant keyword overlap
   - If cannibalization found, report:
     - Which posts compete for the same keyword
     - Recommend: **merge** (combine into one stronger post) or **differentiate**
       (shift one post to a related but distinct keyword)
6. **Calculate current score** across 5 categories:
   - Score across 5 categories (Content Quality 30, SEO Optimization 25, E-E-A-T Signals 15, Technical Elements 15, AI Citation Readiness 15)
   - Total: 0-100
7. **Present audit summary** with specific findings, advisory style diagnostics, video status, cannibalization status, and score
8. **Enter plan mode** - Present section-by-section optimization plan

Wait for user approval before proceeding.

### Phase 2: Research

1. **Identify the blog's core topic** from existing content
2. **Find replacement statistics** for any fabricated/unsourced data:
   - Search: `[topic] study 2025 2026 data statistics`
   - Target tier 1-3 sources only
3. **Find images** if post has fewer than 3:
   - Prefer original screenshots, product visuals, diagrams, or data graphics when available
   - For stock, use official provider APIs such as Openverse, Unsplash, Pexels, or Pixabay so license, creator, source URL, and download URL are captured
   - Download approved assets locally, store attribution, and reject `javascript:`, `data:`, and `file:` URLs
   - If `blog-image` is available, offer AI generation for missing or insufficient images